Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing a...Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing adoption,the validity,transparency,and physiological relevance of these scores remain unclear.This study systematically evaluates CHS fromleading wearablemanufacturers to assess their underlying methodologies,contributors,and scientific basis.Content:Information was synthesised from publicly available company documentation,including technical white papers,user manuals,app interfaces,and research literature where available.We identified 14 CHS across 10 major wearable manufacturers,including Fitbit(Daily Readiness),Garmin(Body Battery^(TM)and Training Readiness),Oura(Readiness and Resilience),WHOOP(Strain,Recovery,and Stress Monitor),Polar(Nightly Recharge^(TM)),Samsung(Energy Score),Suunto(Body Resources),Ultrahuman(Dynamic Recovery),Coros(Daily Stress),and Withings(Health Improvement Score).The most frequently incorporated biometric contributors in this catalogue of CHS were heart rate variability(86%),resting heart rate(79%),physical activity(71%),and sleep duration(71%).However,significant discrepancies were identified in data collection timeframes,metric weighting,and proprietary scoring methodologies.None of the manufacturers disclosed their exact algorithmic formulas,and few provided empirical validation or peer-reviewed evidence supporting the accuracy or clinical relevance of their scores.Summary and outlook:While the concept of CHS represent a promising innovation in digital health,their scientific validity,transparency,and clinical applicability remain uncertain.Future research should focus on establishing standardized sensor fusion frameworks,improving algorithmic transparency,and evaluating CHS across diverse populations.Greater collaboration between industry,researchers,and clinicians is essential to ensure these indices serve as meaningful health metrics rather than opaque consumer tools.展开更多
The growing demand for smart wearables, coupled with the omnipresence of graphene due to its array of outstanding thermal, electrical, and mechanical properties, have driven the industry-led initiatives to develop lig...The growing demand for smart wearables, coupled with the omnipresence of graphene due to its array of outstanding thermal, electrical, and mechanical properties, have driven the industry-led initiatives to develop lightweight, smart, and robust graphene-based wearable technologies. The substantial research and the increase in technology readiness levels (TRLs) of graphene-based technologies have led to the adoption of graphene in many industries. Graphene-based wearables are one such technology that involves closer interaction of graphene by the end-user. Despite this, understanding the toxicological risks associated with using graphene-based wearables is still in the fundamental stage. Herein, graphene-based wearables and industrial-scale fabrication techniques for the development of graphene-based wearables are reviewed. The main goal of the review is to initially evaluate the likelihood of user exposure to graphene from the wearable device and the potential health effects. The subsequent health risks based on graphene's physicochemical characteristics are also discussed. A framework to elucidate the risk is presented in terms of crucial exposure routes, possible graphene interactions, recent exposure assessments, detection removal techniques from the human body, and risk management protocols. It is hoped that this review may aid towards establishing a reasonable practice concerning the safe integration of graphene materials into wearables and facilitate their commercialization.展开更多
This article seeks to highlight some significant aspects that involve the cyber universe in today’s society, linking these concepts with the evolution of fashion in the technological segment, since it is understood a...This article seeks to highlight some significant aspects that involve the cyber universe in today’s society, linking these concepts with the evolution of fashion in the technological segment, since it is understood as an object of body extension, and technologies understood as extension support for this body. Is based on a supposed premise that it is necessary to understand that, when discussing the possibilities that wearables bring, one cannot neglect the pervasive performance of these devices permanently in the coexistence between humans and technology, to the point of one day not dissociating both?展开更多
Advanced photochromic wearables have aroused growing research interest in customizable pattern display,information security encryption,and intelligent fabrics.Molybdenum trioxide(MoO_(3)),distinguished by its superior...Advanced photochromic wearables have aroused growing research interest in customizable pattern display,information security encryption,and intelligent fabrics.Molybdenum trioxide(MoO_(3)),distinguished by its superior photochromic capabilities,has emerged as a prime contender for photochromic wearables among several photochromic materials.However,the advancement of rewritable wearables with MoO_(3)is constrained by inadequate adhesion,insufficient stability,and limited scalability.Herein,a fiber-based photochromic wearable is designed and developed by covalently bonding MoO_(3)microcapsules(MM)nanoparticles with a sheath-core structure into pristine cotton fabrics and integrating MM nanoparticles with sodium alginate(SA)through electrostatic forces and peptide linkages.The resulting photochromic wearable exhibits reversible color transformation and exceptional photochromic characteristics,including remarkable fatigue resistance(>40 cycles),rapid light response,and outstanding color retention(>60 days).Moreover,the photochromic wearable exhibits exceptional stability in diverse harsh environments,including different acid-base solutions(pH 2.0-9.0),various temperatures(-30℃-60℃),indoor light and sunshine exposure,and repeated laundering(>15 cycles).This photochromic fabric exhibits exceptional wearability,boasting remarkable flexibility(17 mm)and biocompatibility(cell viability>95%).Notably,rewritable T-shirts and QR code information security encryption systems are demonstrated,highlighting their potential in customizable designs,flexible rewritable textiles,and information security encryption.展开更多
With technological advancements,consumer demands for textile functionality and intelligence have increased substantially.Next-generation E-textiles should enable multidirectional force sensing while ensuring high leve...With technological advancements,consumer demands for textile functionality and intelligence have increased substantially.Next-generation E-textiles should enable multidirectional force sensing while ensuring high levels of wearer comfort.However,existing electronic textiles are insufficient to simultaneously monitor the direction and degree of strain,and sweat accumulation can lead to poor comfort.Here,inspired by the asymmetric gradient structure of human skin,Janus double-layer woven electronic textile(JDET)was designed.Through material-structure-function biomimetic design,bidirectional bending recognition and moisture management function are integrated into the device.A high-sensitivity strain sensing unit(GF=1402.94)was constructed using a single wrapped yarn and conductive materials.Combined with a double-layer fabric structure design,a plain weave layer woven with hydrophilic sensing yarn and a twill weave layer woven with hydrophobic polyester yarn formed a dual gradient structure of fabric wettability and porosity,resulting in excellent unidirectional moisture transport capability.The asymmetric design of the sensing layer enables JDET to selectively identify bending directions(-180°-180°),and has good stability(>8000 s)in bending cycle testing.In addition,JDET has been successfully applied to human motion monitoring and Morse code interaction systems.This asymmetric gradient structure design of textiles provides ideas for the design of the next generation of intelligent electronic textiles.展开更多
Near Field Communication(NFC)and Radio Frequency Identification(RFID)technologies offer wireless data transmission and energy supply for flexible wearable and implantable sensing systems.By eliminating bulky batteries...Near Field Communication(NFC)and Radio Frequency Identification(RFID)technologies offer wireless data transmission and energy supply for flexible wearable and implantable sensing systems.By eliminating bulky batteries or external wiring,these technologies significantly advance personalized medicine through wearable and implantable systems with reduced size,increased flexibility,and improved mechanical adaptability to the human body.This multidisciplinary research area encompasses the fundamental mechanisms of antenna theory,simulation&design,micro/nano-fabrication,and their biomedical applications.This review provides an overview of emerging wireless,personalized/decentralized biomedical devices focusing on NFC/RFID antennas design mechanisms,flexible NFC/RFID-based physical,chemical,and biosensors,as well as drug delivery implants.Moreover,challenges and future directions regarding flexible NFC/RFID-based systems are provided.Advancing this field will require collaborative efforts from researchers in antenna design,materials science,biology,and medical care,driving the development of NFC/RFID in biomedical applications.展开更多
Metal‐organic frameworks(MOFs)have shown numerous potentials as promising materials to address real‐world problems.However,their practical utilization in commercial products was largely limited by the lack of downst...Metal‐organic frameworks(MOFs)have shown numerous potentials as promising materials to address real‐world problems.However,their practical utilization in commercial products was largely limited by the lack of downstream processing methodologies to transform MOF powders into functional products.In this study,a commercially viable solution for the general synthesis of MOF‐fabric composites was introduced.On account of coordination bonding between poly(acrylic acid)and MOF substrates,MOF powders securely adhered onto the surface of fabric materials via a drip cast method to give MOF‐fabric composites easily.This strategy can be applied to different MOF types,as well as a wide variety of fabric materials.The prepared materials showed excellent bacterial killing efficacy attributed to the embedded HKUST‐1 MOF.In light of the recent coronavirus disease 2019 pandemic,this methodology could enable the large‐scale fabrication of essential MOF‐based personal protective wearables(e.g.,clothing and masks)for use by healthcare professionals.展开更多
Fiber batteries that can be woven into textiles are attractive as flexible power solutions to supply future wearable electronics.A rechargeable calcium–oxygen(Ca–O2)battery which can operate at room temperature has ...Fiber batteries that can be woven into textiles are attractive as flexible power solutions to supply future wearable electronics.A rechargeable calcium–oxygen(Ca–O2)battery which can operate at room temperature has been recently reported,reveal-ing a new understanding on the efficient two-electron redox chemistry.The stable Ca–O_(2) fiber battery was finely integrated into flexible textile batteries for next-generation wearable systems.展开更多
MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices tak...MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.展开更多
Ionogel,a novel flexible electronic material,presents a plethora of applications.Despite its potential,the fabrication of multifunctional ionogel with high-performance suitable for diverse scenarios remains a signific...Ionogel,a novel flexible electronic material,presents a plethora of applications.Despite its potential,the fabrication of multifunctional ionogel with high-performance suitable for diverse scenarios remains a significant challenge.In this study,we prepare a multifunctional amphibious ionogel skin(AIGS)using a polymerizable ionic liquid(PIL)and a conductive ionic liquid(IL)in conjunction with titanium carbide(Ti_(3)C_(2)T_(x)-MXene).The resulting soft AIGS materials exhibit ductility,self-healing,and robust adhesion in mechanical properties due to non-covalent interactions,such as ion-dipole interactions and hydrogen bonding.They also demonstrate a wide sensing range(2%-400%),high sensing sensitivity(gauge factor(GF)up to 6.06),and stable sensing performance(good reliability and stability after strain)in electrical properties.The hydrophobic and dynamic viscoelastic network formed by extensive C-F bonds in the used polymer matrix,ensures the AIGS's suitability for amphibious environments.We find that AIGS has excellent triboelectric properties.Utilizing AIGS as a flexible electrode,a single-electrode triboelectric nanogenerator(SE-TENG)was constructed,achieving outstanding output performance(~300 V open-circuit voltage,172 nA short-circuit current,and 34 nC transferred charge).This device can power commercial portable electronic devices and identify different body movements.AIGS-based wearable strain sensors have also been shown to reliably detect human motion,including larger limb movements such as finger flexion and elbow flexion and extension,as well as subtle muscle movements such as frowning and swallowing.In addition,depending on the characteristics of the AIGS application in amphibious environments,the following functions can be realized simultaneously.AIGS in an aquatic environment combined with machine learning for intelligent recognition of breathing type,in an underwater environment combined with Morse code to convey simple information,and motion monitoring in an amphibious environment,demonstrates its potential feasibility in a variety of situations.展开更多
As emerging two-dimensional(2D)materials,carbides and nitrides(MXenes)could be solid solutions or organized structures made up of multi-atomic layers.With remarkable and adjustable electrical,optical,mechanical,and el...As emerging two-dimensional(2D)materials,carbides and nitrides(MXenes)could be solid solutions or organized structures made up of multi-atomic layers.With remarkable and adjustable electrical,optical,mechanical,and electrochemical characteristics,MXenes have shown great potential in brain-inspired neuromorphic computing electronics,including neuromorphic gas sensors,pressure sensors and photodetectors.This paper provides a forward-looking review of the research progress regarding MXenes in the neuromorphic sensing domain and discussed the critical challenges that need to be resolved.Key bottlenecks such as insufficient long-term stability under environmental exposure,high costs,scalability limitations in large-scale production,and mechanical mismatch in wearable integration hinder their practical deployment.Furthermore,unresolved issues like interfacial compatibility in heterostructures and energy inefficiency in neu-romorphic signal conversion demand urgent attention.The review offers insights into future research directions enhance the fundamental understanding of MXene properties and promote further integration into neuromorphic computing applications through the convergence with various emerging technologies.展开更多
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring,clinical diagnosis,and robotic applications.Nevertheless,...Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring,clinical diagnosis,and robotic applications.Nevertheless,it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility,adhesion,self-healing,and environmental robustness with excellent sensing metrics.Herein,we report a multifunctional,anti-freezing,selfadhesive,and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes(CoN CNT)embedded in a polyvinyl alcohol-gelatin(PVA/GLE)matrix.Fabricated using a binary solvent system of water and ethylene glycol(EG),the CoN CNT/PVA/GLE organogel exhibits excellent flexibility,biocompatibility,and temperature tolerance with remarkable environmental stability.Electrochemical impedance spectroscopy confirms near-stable performance across a broad humidity range(40%-95%RH).Freeze-tolerant conductivity under sub-zero conditions(-20℃)is attributed to the synergistic role of CoN CNT and EG,preserving mobility and network integrity.The Co N CNT/PVA/GLE organogel sensor exhibits high sensitivity of 5.75 k Pa^(-1)in the detection range from 0 to 20 k Pa,ideal for subtle biomechanical motion detection.A smart human-machine interface for English letter recognition using deep learning achieved 98%accuracy.The organogel sensor utility was extended to detect human gestures like finger bending,wrist motion,and throat vibration during speech.展开更多
A rapidly growing field is piezoresistive sensor for accurate respiration rate monitoring to suppress the worldwide respiratory illness.However,a large neglected issue is the sensing durability and accuracy without in...A rapidly growing field is piezoresistive sensor for accurate respiration rate monitoring to suppress the worldwide respiratory illness.However,a large neglected issue is the sensing durability and accuracy without interference since the expiratory pressure always coupled with external humidity and temperature variations,as well as mechanical motion artifacts.Herein,a robust and biodegradable piezoresistive sensor is reported that consists of heterogeneous MXene/cellulose-gelation sensing layer and Ag-based interdigital electrode,featuring customizable cylindrical interface arrangement and compact hierarchical laminated architecture for collectively regulating the piezoresistive response and mechanical robustness,thereby realizing the long-term breath-induced pressure detection.Notably,molecular dynamics simulations reveal the frequent angle inversion and reorientation of MXene/cellulose in vacuum filtration,driven by shear forces and interfacial interactions,which facilitate the establishment of hydrogen bonds and optimize the architecture design in sensing layer.The resultant sensor delivers unprecedented collection features of superior stability for off-axis deformation(0-120°,~2.8×10^(-3) A)and sensing accuracy without crosstalk(humidity 50%-100%and temperature 30-80).Besides,the sensor-embedded mask together with machine learning models is achieved to train and classify the respiration status for volunteers with different ages(average prediction accuracy~90%).It is envisioned that the customizable architecture design and sensor paradigm will shed light on the advanced stability of sustainable electronics and pave the way for the commercial application in respiratory monitory.展开更多
Gel-based flexible wearable sensors have attracted considerable interest in aquatic environments.However,the development of underwater conductive gel sensors with outstanding anti-swelling,mechanical,and sensing capab...Gel-based flexible wearable sensors have attracted considerable interest in aquatic environments.However,the development of underwater conductive gel sensors with outstanding anti-swelling,mechanical,and sensing capabilities faces significant challenges.The aim of this study is to develop anti-swelling and conductive zwitterionic gels and investigate their applications in wireless underwater strain sensing.Multi-functional zwitterionic gels were fabricated by copolymerizing[2-(methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl)ammonium hydroxide(SBMA)and acrylic acid(AA)in a mixed solution of aluminum chloride(AlCl3)and poly(vinyl alcohol)(PVA)under ultraviolet light(360 nm).PSBMA was switched from a neutral polymer to a positively charged polymer because of the combination of Al^(3+)with the negative groups SO_(3)^(−).The water molecules were eliminated because of electrostatic repulsion.The gels exhibited anti-swelling properties(swelling ratio<11%),high stretchability(600%strain),and toughness(2451 kJ/m^(3)).The PPAS-Al^(3+)gel was integrated with a wireless Bluetooth system to construct underwater wearable strain sensors that could accurately capture the signals caused by human joint movements and speech recognition even in water.Antibacterial activity(>98.9%inhibition)and stable wireless sensing have potential applications in the fields of wearable sensors,underwater communication,and intelligent healthcare.展开更多
Wearable ultrasound devices represent a transformative advancement in therapeutic applications,offering noninvasive,continuous,and targeted treatment for deep tissues.These systems leverage flexible materials(e.g.,pie...Wearable ultrasound devices represent a transformative advancement in therapeutic applications,offering noninvasive,continuous,and targeted treatment for deep tissues.These systems leverage flexible materials(e.g.,piezoelectric composites,biodegradable polymers)and conformable designs to enable stable integration with dynamic anatomical surfaces.Key innovations include ultrasound-enhanced drug delivery through cavitation-mediated transdermal penetration,accelerated tissue regeneration via mechanical and electrical stimulation,and precise neuromodulation using focused acoustic waves.Recent developments demonstrate wireless operation,real-time monitoring,and closed-loop therapy,facilitated by energy-efficient transducers and AI-driven adaptive control.Despite progress,challenges persist in material durability,clinical validation,and scalable manufacturing.Future directions highlight the integration of nanomaterials,3D-printed architectures,and multimodal sensing for personalized medicine.This technology holds significant potential to redefine chronic disease management,postoperative recovery,and neurorehabilitation,bridging the gap between clinical and home-based care.展开更多
Accurate blood pressure(BP)monitoring is essential for preventing and managing cardiovascular disease.Advancements in materials science,medicine,flexible electronic,and artificial intelligence(AI)have enabled cuffless...Accurate blood pressure(BP)monitoring is essential for preventing and managing cardiovascular disease.Advancements in materials science,medicine,flexible electronic,and artificial intelligence(AI)have enabled cuffless,unobtrusive BP monitoring systems,offering an alternative to traditional sphygmomanometers.However,extending these advances to real-world cardiovascular care particularly in resource-limited settings remains challenging due to constraints in computational resources,power efficiency,and deployment scalability.This review presents a comprehensive synthesis of AI-enhanced wearable BP monitoring,emphasizing its potential for personalized,scalable,and accessible healthcare.We systematically analyze the end-to-end system architecture,from mechano-electric sensing principles and AI-based estimation models to edge-aware deployment strategies tailored for low-resource environments.We further discuss clinical validation metrics and implementation barriers and prospective strategies.To bridge lab-to-field translation,we propose an innovative"sensor-model-deployment-assessment"co-design framework.This roadmap highlights how AI-enhanced BP technologies can support proactive hypertension control and promote cardiovascular health equity on a global scale.展开更多
Wearable sensors have revolutionized health monitoring by transitioning from clinical diagnostics to continuous,real-time applications in daily life.The oral cavity,rich in saliva containing over 1,000 biomarkers that...Wearable sensors have revolutionized health monitoring by transitioning from clinical diagnostics to continuous,real-time applications in daily life.The oral cavity,rich in saliva containing over 1,000 biomarkers that reflect systemic health(e.g.,glucose,cortisol,and inflammatory markers)[1],offers the advantage of non-invasive sampling.Its superior environmental stability and strong connection to key physiological processes make it an ideal candidate in the field of digital medicine,serving as a natural gateway to personalized health monitoring.Therefore,the oral cavity represents not only a convenient sampling site but also a strategic interface for realizing the vision of continuous,personalized digital health monitoring.展开更多
The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications.Inspired by in-memory computing architecture of human brain,fle...The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications.Inspired by in-memory computing architecture of human brain,flexible memristors exhibit great application potential in emulating artificial synapses for highefficiency and low power consumption neuromorphic computing.This paper provides comprehensive overview of flexible memristors from perspectives of development history,material system,device structure,mechanical deformation method,device performance analysis,stress simulation during deformation,and neuromorphic computing applications.The recent advances in flexible electronics are summarized,including single device,device array and integration.The challenges and future perspectives of flexible memristor for neuromorphic computing are discussed deeply,paving the way for constructing wearable smart electronics and applications in large-scale neuromorphic computing and high-order intelligent robotics.展开更多
Diabetes mellitus represents a major global health issue,driving the need for noninvasive alternatives to traditional blood glucose monitoring methods.Recent advancements in wearable technology have introduced skin-in...Diabetes mellitus represents a major global health issue,driving the need for noninvasive alternatives to traditional blood glucose monitoring methods.Recent advancements in wearable technology have introduced skin-interfaced biosensors capable of analyzing sweat and skin biomarkers,providing innovative solutions for diabetes diagnosis and monitoring.This review comprehensively discusses the current developments in noninvasive wearable biosensors,emphasizing simultaneous detection of biochemical biomarkers(such as glucose,cortisol,lactate,branched-chain amino acids,and cytokines)and physiological signals(including heart rate,blood pressure,and sweat rate)for accurate,personalized diabetes management.We explore innovations in multimodal sensor design,materials science,biorecognition elements,and integration techniques,highlighting the importance of advanced data analytics,artificial intelligence-driven predictive algorithms,and closed-loop therapeutic systems.Additionally,the review addresses ongoing challenges in biomarker validation,sensor stability,user compliance,data privacy,and regulatory considerations.A holistic,multimodal approach enabled by these next-generation wearable biosensors holds significant potential for improving patient outcomes and facilitating proactive healthcare interventions in diabetes management.展开更多
This study presents a hybrid CNN-Transformer model for real-time recognition of affective tactile biosignals.The proposed framework combines convolutional neural networks(CNNs)to extract spatial and local temporal fea...This study presents a hybrid CNN-Transformer model for real-time recognition of affective tactile biosignals.The proposed framework combines convolutional neural networks(CNNs)to extract spatial and local temporal features with the Transformer encoder that captures long-range dependencies in time-series data through multi-head attention.Model performance was evaluated on two widely used tactile biosignal datasets,HAART and CoST,which contain diverse affective touch gestures recorded from pressure sensor arrays.TheCNN-Transformer model achieved recognition rates of 93.33%on HAART and 80.89%on CoST,outperforming existing methods on both benchmarks.By incorporating temporal windowing,the model enables instantaneous prediction,improving generalization across gestures of varying duration.These results highlight the effectiveness of deep learning for tactile biosignal processing and demonstrate the potential of theCNN-Transformer approach for future applications in wearable sensors,affective computing,and biomedical monitoring.展开更多
基金funded by the Health Research Board in Ireland(Grant ID:HRB ILP-PHR-2024-005)Research Ireland(Grant ID:12/RC/2289_P2).
文摘Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing adoption,the validity,transparency,and physiological relevance of these scores remain unclear.This study systematically evaluates CHS fromleading wearablemanufacturers to assess their underlying methodologies,contributors,and scientific basis.Content:Information was synthesised from publicly available company documentation,including technical white papers,user manuals,app interfaces,and research literature where available.We identified 14 CHS across 10 major wearable manufacturers,including Fitbit(Daily Readiness),Garmin(Body Battery^(TM)and Training Readiness),Oura(Readiness and Resilience),WHOOP(Strain,Recovery,and Stress Monitor),Polar(Nightly Recharge^(TM)),Samsung(Energy Score),Suunto(Body Resources),Ultrahuman(Dynamic Recovery),Coros(Daily Stress),and Withings(Health Improvement Score).The most frequently incorporated biometric contributors in this catalogue of CHS were heart rate variability(86%),resting heart rate(79%),physical activity(71%),and sleep duration(71%).However,significant discrepancies were identified in data collection timeframes,metric weighting,and proprietary scoring methodologies.None of the manufacturers disclosed their exact algorithmic formulas,and few provided empirical validation or peer-reviewed evidence supporting the accuracy or clinical relevance of their scores.Summary and outlook:While the concept of CHS represent a promising innovation in digital health,their scientific validity,transparency,and clinical applicability remain uncertain.Future research should focus on establishing standardized sensor fusion frameworks,improving algorithmic transparency,and evaluating CHS across diverse populations.Greater collaboration between industry,researchers,and clinicians is essential to ensure these indices serve as meaningful health metrics rather than opaque consumer tools.
基金the Swinburne University Postgraduate Research Awards research grant and thank AINSE Limited for providing financial assistance(PGRA-ALNSTU12654)The authors also thank the grant support from the Defense Innovation Hub(P19-222133)NH would like to thank the Australian Research Council for the ARC DECRA(DE170101249)and LP200301659 research grants.
文摘The growing demand for smart wearables, coupled with the omnipresence of graphene due to its array of outstanding thermal, electrical, and mechanical properties, have driven the industry-led initiatives to develop lightweight, smart, and robust graphene-based wearable technologies. The substantial research and the increase in technology readiness levels (TRLs) of graphene-based technologies have led to the adoption of graphene in many industries. Graphene-based wearables are one such technology that involves closer interaction of graphene by the end-user. Despite this, understanding the toxicological risks associated with using graphene-based wearables is still in the fundamental stage. Herein, graphene-based wearables and industrial-scale fabrication techniques for the development of graphene-based wearables are reviewed. The main goal of the review is to initially evaluate the likelihood of user exposure to graphene from the wearable device and the potential health effects. The subsequent health risks based on graphene's physicochemical characteristics are also discussed. A framework to elucidate the risk is presented in terms of crucial exposure routes, possible graphene interactions, recent exposure assessments, detection removal techniques from the human body, and risk management protocols. It is hoped that this review may aid towards establishing a reasonable practice concerning the safe integration of graphene materials into wearables and facilitate their commercialization.
文摘This article seeks to highlight some significant aspects that involve the cyber universe in today’s society, linking these concepts with the evolution of fashion in the technological segment, since it is understood as an object of body extension, and technologies understood as extension support for this body. Is based on a supposed premise that it is necessary to understand that, when discussing the possibilities that wearables bring, one cannot neglect the pervasive performance of these devices permanently in the coexistence between humans and technology, to the point of one day not dissociating both?
基金supported by the Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region(ProjectNo.ITS/139/21)。
文摘Advanced photochromic wearables have aroused growing research interest in customizable pattern display,information security encryption,and intelligent fabrics.Molybdenum trioxide(MoO_(3)),distinguished by its superior photochromic capabilities,has emerged as a prime contender for photochromic wearables among several photochromic materials.However,the advancement of rewritable wearables with MoO_(3)is constrained by inadequate adhesion,insufficient stability,and limited scalability.Herein,a fiber-based photochromic wearable is designed and developed by covalently bonding MoO_(3)microcapsules(MM)nanoparticles with a sheath-core structure into pristine cotton fabrics and integrating MM nanoparticles with sodium alginate(SA)through electrostatic forces and peptide linkages.The resulting photochromic wearable exhibits reversible color transformation and exceptional photochromic characteristics,including remarkable fatigue resistance(>40 cycles),rapid light response,and outstanding color retention(>60 days).Moreover,the photochromic wearable exhibits exceptional stability in diverse harsh environments,including different acid-base solutions(pH 2.0-9.0),various temperatures(-30℃-60℃),indoor light and sunshine exposure,and repeated laundering(>15 cycles).This photochromic fabric exhibits exceptional wearability,boasting remarkable flexibility(17 mm)and biocompatibility(cell viability>95%).Notably,rewritable T-shirts and QR code information security encryption systems are demonstrated,highlighting their potential in customizable designs,flexible rewritable textiles,and information security encryption.
基金supported by the National Natural Science Foundation of China(No.Grant52173218)the Natural Science Foundation Project of Shanghai“science and technology innovation action plan”(Nos.22ZR1400500 and 20ZR1400200)+1 种基金the Key Research and Development Program of the Science and Technology Bureau of Ningbo City(Grant No.2023Z082)supported by“the Fundamental Research Funds for the Central Universities”(CUSF-DH-T-2024043).
文摘With technological advancements,consumer demands for textile functionality and intelligence have increased substantially.Next-generation E-textiles should enable multidirectional force sensing while ensuring high levels of wearer comfort.However,existing electronic textiles are insufficient to simultaneously monitor the direction and degree of strain,and sweat accumulation can lead to poor comfort.Here,inspired by the asymmetric gradient structure of human skin,Janus double-layer woven electronic textile(JDET)was designed.Through material-structure-function biomimetic design,bidirectional bending recognition and moisture management function are integrated into the device.A high-sensitivity strain sensing unit(GF=1402.94)was constructed using a single wrapped yarn and conductive materials.Combined with a double-layer fabric structure design,a plain weave layer woven with hydrophilic sensing yarn and a twill weave layer woven with hydrophobic polyester yarn formed a dual gradient structure of fabric wettability and porosity,resulting in excellent unidirectional moisture transport capability.The asymmetric design of the sensing layer enables JDET to selectively identify bending directions(-180°-180°),and has good stability(>8000 s)in bending cycle testing.In addition,JDET has been successfully applied to human motion monitoring and Morse code interaction systems.This asymmetric gradient structure design of textiles provides ideas for the design of the next generation of intelligent electronic textiles.
基金the financial support from the National Natural Science Foundation of China(62235008)Natural Science Foundation for Excellent Young Scholars(62322108)+3 种基金National Key R&D Program of China under Grant(2021YFB3601200)Natural Science Foundation for Young Scholars(62201286,62301283,22405131)the Program of Jiangsu Specially-Appointed Professor,Jiangsu Funding Program for Excellent Postdoctoral Talent(2023ZB587)Nanjing U35 Program,Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(NY222099).
文摘Near Field Communication(NFC)and Radio Frequency Identification(RFID)technologies offer wireless data transmission and energy supply for flexible wearable and implantable sensing systems.By eliminating bulky batteries or external wiring,these technologies significantly advance personalized medicine through wearable and implantable systems with reduced size,increased flexibility,and improved mechanical adaptability to the human body.This multidisciplinary research area encompasses the fundamental mechanisms of antenna theory,simulation&design,micro/nano-fabrication,and their biomedical applications.This review provides an overview of emerging wireless,personalized/decentralized biomedical devices focusing on NFC/RFID antennas design mechanisms,flexible NFC/RFID-based physical,chemical,and biosensors,as well as drug delivery implants.Moreover,challenges and future directions regarding flexible NFC/RFID-based systems are provided.Advancing this field will require collaborative efforts from researchers in antenna design,materials science,biology,and medical care,driving the development of NFC/RFID in biomedical applications.
基金supported by the Singapore National Research Foundation Investigatorship(NRF‐NRFI2018‐03)the Ministry of Education Singapore under the Academic Research Funds(RT12/19 and MOE‐MOET2EP10120‐0003)the Singapore Agency for Science,Technology,and Research(A*STAR)AME IRG grant(A1883c0005).
文摘Metal‐organic frameworks(MOFs)have shown numerous potentials as promising materials to address real‐world problems.However,their practical utilization in commercial products was largely limited by the lack of downstream processing methodologies to transform MOF powders into functional products.In this study,a commercially viable solution for the general synthesis of MOF‐fabric composites was introduced.On account of coordination bonding between poly(acrylic acid)and MOF substrates,MOF powders securely adhered onto the surface of fabric materials via a drip cast method to give MOF‐fabric composites easily.This strategy can be applied to different MOF types,as well as a wide variety of fabric materials.The prepared materials showed excellent bacterial killing efficacy attributed to the embedded HKUST‐1 MOF.In light of the recent coronavirus disease 2019 pandemic,this methodology could enable the large‐scale fabrication of essential MOF‐based personal protective wearables(e.g.,clothing and masks)for use by healthcare professionals.
文摘Fiber batteries that can be woven into textiles are attractive as flexible power solutions to supply future wearable electronics.A rechargeable calcium–oxygen(Ca–O2)battery which can operate at room temperature has been recently reported,reveal-ing a new understanding on the efficient two-electron redox chemistry.The stable Ca–O_(2) fiber battery was finely integrated into flexible textile batteries for next-generation wearable systems.
文摘MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.
基金Outstanding Talent in Tianjin(JC20230428)Young Scientific and Technological Talents(Level Three)in Tianjin(QN20230304)the National Key Research and Development Program of China(Grant Nos.AMMS-QNPY-2021-008,2021ZZKY02)。
文摘Ionogel,a novel flexible electronic material,presents a plethora of applications.Despite its potential,the fabrication of multifunctional ionogel with high-performance suitable for diverse scenarios remains a significant challenge.In this study,we prepare a multifunctional amphibious ionogel skin(AIGS)using a polymerizable ionic liquid(PIL)and a conductive ionic liquid(IL)in conjunction with titanium carbide(Ti_(3)C_(2)T_(x)-MXene).The resulting soft AIGS materials exhibit ductility,self-healing,and robust adhesion in mechanical properties due to non-covalent interactions,such as ion-dipole interactions and hydrogen bonding.They also demonstrate a wide sensing range(2%-400%),high sensing sensitivity(gauge factor(GF)up to 6.06),and stable sensing performance(good reliability and stability after strain)in electrical properties.The hydrophobic and dynamic viscoelastic network formed by extensive C-F bonds in the used polymer matrix,ensures the AIGS's suitability for amphibious environments.We find that AIGS has excellent triboelectric properties.Utilizing AIGS as a flexible electrode,a single-electrode triboelectric nanogenerator(SE-TENG)was constructed,achieving outstanding output performance(~300 V open-circuit voltage,172 nA short-circuit current,and 34 nC transferred charge).This device can power commercial portable electronic devices and identify different body movements.AIGS-based wearable strain sensors have also been shown to reliably detect human motion,including larger limb movements such as finger flexion and elbow flexion and extension,as well as subtle muscle movements such as frowning and swallowing.In addition,depending on the characteristics of the AIGS application in amphibious environments,the following functions can be realized simultaneously.AIGS in an aquatic environment combined with machine learning for intelligent recognition of breathing type,in an underwater environment combined with Morse code to convey simple information,and motion monitoring in an amphibious environment,demonstrates its potential feasibility in a variety of situations.
基金supported by the NSFC(12474071)Natural Science Foundation of Shandong Province(ZR2024YQ051,ZR2025QB50)+6 种基金Guangdong Basic and Applied Basic Research Foundation(2025A1515011191)the Shanghai Sailing Program(23YF1402200,23YF1402400)funded by Basic Research Program of Jiangsu(BK20240424)Open Research Fund of State Key Laboratory of Crystal Materials(KF2406)Taishan Scholar Foundation of Shandong Province(tsqn202408006,tsqn202507058)Young Talent of Lifting engineering for Science and Technology in Shandong,China(SDAST2024QTB002)the Qilu Young Scholar Program of Shandong University。
文摘As emerging two-dimensional(2D)materials,carbides and nitrides(MXenes)could be solid solutions or organized structures made up of multi-atomic layers.With remarkable and adjustable electrical,optical,mechanical,and electrochemical characteristics,MXenes have shown great potential in brain-inspired neuromorphic computing electronics,including neuromorphic gas sensors,pressure sensors and photodetectors.This paper provides a forward-looking review of the research progress regarding MXenes in the neuromorphic sensing domain and discussed the critical challenges that need to be resolved.Key bottlenecks such as insufficient long-term stability under environmental exposure,high costs,scalability limitations in large-scale production,and mechanical mismatch in wearable integration hinder their practical deployment.Furthermore,unresolved issues like interfacial compatibility in heterostructures and energy inefficiency in neu-romorphic signal conversion demand urgent attention.The review offers insights into future research directions enhance the fundamental understanding of MXene properties and promote further integration into neuromorphic computing applications through the convergence with various emerging technologies.
基金supported by the Basic Science Research Program(2023R1A2C3004336,RS-202300243807)&Regional Leading Research Center(RS-202400405278)through the National Research Foundation of Korea(NRF)grant funded by the Korea Government(MSIT)。
文摘Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring,clinical diagnosis,and robotic applications.Nevertheless,it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility,adhesion,self-healing,and environmental robustness with excellent sensing metrics.Herein,we report a multifunctional,anti-freezing,selfadhesive,and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes(CoN CNT)embedded in a polyvinyl alcohol-gelatin(PVA/GLE)matrix.Fabricated using a binary solvent system of water and ethylene glycol(EG),the CoN CNT/PVA/GLE organogel exhibits excellent flexibility,biocompatibility,and temperature tolerance with remarkable environmental stability.Electrochemical impedance spectroscopy confirms near-stable performance across a broad humidity range(40%-95%RH).Freeze-tolerant conductivity under sub-zero conditions(-20℃)is attributed to the synergistic role of CoN CNT and EG,preserving mobility and network integrity.The Co N CNT/PVA/GLE organogel sensor exhibits high sensitivity of 5.75 k Pa^(-1)in the detection range from 0 to 20 k Pa,ideal for subtle biomechanical motion detection.A smart human-machine interface for English letter recognition using deep learning achieved 98%accuracy.The organogel sensor utility was extended to detect human gestures like finger bending,wrist motion,and throat vibration during speech.
基金supported by the National Natural Science Foundation of China(22074072,22274083,52376199)the Shandong Provincial Natural Science Foundation(ZR2023LZY005)+1 种基金the Exploration Project of the State Key Laboratory of BioFibers and EcoTextiles of Qingdao University(TSKT202101)the Fundamental Research Funds for the Central Universities(2022BLRD13,2023BLRD01).
文摘A rapidly growing field is piezoresistive sensor for accurate respiration rate monitoring to suppress the worldwide respiratory illness.However,a large neglected issue is the sensing durability and accuracy without interference since the expiratory pressure always coupled with external humidity and temperature variations,as well as mechanical motion artifacts.Herein,a robust and biodegradable piezoresistive sensor is reported that consists of heterogeneous MXene/cellulose-gelation sensing layer and Ag-based interdigital electrode,featuring customizable cylindrical interface arrangement and compact hierarchical laminated architecture for collectively regulating the piezoresistive response and mechanical robustness,thereby realizing the long-term breath-induced pressure detection.Notably,molecular dynamics simulations reveal the frequent angle inversion and reorientation of MXene/cellulose in vacuum filtration,driven by shear forces and interfacial interactions,which facilitate the establishment of hydrogen bonds and optimize the architecture design in sensing layer.The resultant sensor delivers unprecedented collection features of superior stability for off-axis deformation(0-120°,~2.8×10^(-3) A)and sensing accuracy without crosstalk(humidity 50%-100%and temperature 30-80).Besides,the sensor-embedded mask together with machine learning models is achieved to train and classify the respiration status for volunteers with different ages(average prediction accuracy~90%).It is envisioned that the customizable architecture design and sensor paradigm will shed light on the advanced stability of sustainable electronics and pave the way for the commercial application in respiratory monitory.
基金financially supported by the Fundamental Research Program of the Shanxi Province(No.202203021211023).
文摘Gel-based flexible wearable sensors have attracted considerable interest in aquatic environments.However,the development of underwater conductive gel sensors with outstanding anti-swelling,mechanical,and sensing capabilities faces significant challenges.The aim of this study is to develop anti-swelling and conductive zwitterionic gels and investigate their applications in wireless underwater strain sensing.Multi-functional zwitterionic gels were fabricated by copolymerizing[2-(methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl)ammonium hydroxide(SBMA)and acrylic acid(AA)in a mixed solution of aluminum chloride(AlCl3)and poly(vinyl alcohol)(PVA)under ultraviolet light(360 nm).PSBMA was switched from a neutral polymer to a positively charged polymer because of the combination of Al^(3+)with the negative groups SO_(3)^(−).The water molecules were eliminated because of electrostatic repulsion.The gels exhibited anti-swelling properties(swelling ratio<11%),high stretchability(600%strain),and toughness(2451 kJ/m^(3)).The PPAS-Al^(3+)gel was integrated with a wireless Bluetooth system to construct underwater wearable strain sensors that could accurately capture the signals caused by human joint movements and speech recognition even in water.Antibacterial activity(>98.9%inhibition)and stable wireless sensing have potential applications in the fields of wearable sensors,underwater communication,and intelligent healthcare.
基金the support from the start-up of the University of Missouri-Columbia。
文摘Wearable ultrasound devices represent a transformative advancement in therapeutic applications,offering noninvasive,continuous,and targeted treatment for deep tissues.These systems leverage flexible materials(e.g.,piezoelectric composites,biodegradable polymers)and conformable designs to enable stable integration with dynamic anatomical surfaces.Key innovations include ultrasound-enhanced drug delivery through cavitation-mediated transdermal penetration,accelerated tissue regeneration via mechanical and electrical stimulation,and precise neuromodulation using focused acoustic waves.Recent developments demonstrate wireless operation,real-time monitoring,and closed-loop therapy,facilitated by energy-efficient transducers and AI-driven adaptive control.Despite progress,challenges persist in material durability,clinical validation,and scalable manufacturing.Future directions highlight the integration of nanomaterials,3D-printed architectures,and multimodal sensing for personalized medicine.This technology holds significant potential to redefine chronic disease management,postoperative recovery,and neurorehabilitation,bridging the gap between clinical and home-based care.
基金the Chinese University of Hong Kong for providing research resources and institutional support
文摘Accurate blood pressure(BP)monitoring is essential for preventing and managing cardiovascular disease.Advancements in materials science,medicine,flexible electronic,and artificial intelligence(AI)have enabled cuffless,unobtrusive BP monitoring systems,offering an alternative to traditional sphygmomanometers.However,extending these advances to real-world cardiovascular care particularly in resource-limited settings remains challenging due to constraints in computational resources,power efficiency,and deployment scalability.This review presents a comprehensive synthesis of AI-enhanced wearable BP monitoring,emphasizing its potential for personalized,scalable,and accessible healthcare.We systematically analyze the end-to-end system architecture,from mechano-electric sensing principles and AI-based estimation models to edge-aware deployment strategies tailored for low-resource environments.We further discuss clinical validation metrics and implementation barriers and prospective strategies.To bridge lab-to-field translation,we propose an innovative"sensor-model-deployment-assessment"co-design framework.This roadmap highlights how AI-enhanced BP technologies can support proactive hypertension control and promote cardiovascular health equity on a global scale.
基金support from the Guangdong Basic and Applied Basic Research Foundation(Nos.2021A1515110388,2024A1515011707)Science and Technology Projects in Guangzhou(No.2024A04J5195)Shenzhen Natural Science Foundation(Nos.JCYJ20230807111120043).
文摘Wearable sensors have revolutionized health monitoring by transitioning from clinical diagnostics to continuous,real-time applications in daily life.The oral cavity,rich in saliva containing over 1,000 biomarkers that reflect systemic health(e.g.,glucose,cortisol,and inflammatory markers)[1],offers the advantage of non-invasive sampling.Its superior environmental stability and strong connection to key physiological processes make it an ideal candidate in the field of digital medicine,serving as a natural gateway to personalized health monitoring.Therefore,the oral cavity represents not only a convenient sampling site but also a strategic interface for realizing the vision of continuous,personalized digital health monitoring.
基金supported by the NSFC(12474071)Natural Science Foundation of Shandong Province(ZR2024YQ051)+5 种基金Open Research Fund of State Key Laboratory of Materials for Integrated Circuits(SKLJC-K2024-12)the Shanghai Sailing Program(23YF1402200,23YF1402400)Natural Science Foundation of Jiangsu Province(BK20240424)Taishan Scholar Foundation of Shandong Province(tsqn202408006)Young Talent of Lifting engineering for Science and Technology in Shandong,China(SDAST2024QTB002)the Qilu Young Scholar Program of Shandong University.
文摘The advancement of flexible memristors has significantly promoted the development of wearable electronic for emerging neuromorphic computing applications.Inspired by in-memory computing architecture of human brain,flexible memristors exhibit great application potential in emulating artificial synapses for highefficiency and low power consumption neuromorphic computing.This paper provides comprehensive overview of flexible memristors from perspectives of development history,material system,device structure,mechanical deformation method,device performance analysis,stress simulation during deformation,and neuromorphic computing applications.The recent advances in flexible electronics are summarized,including single device,device array and integration.The challenges and future perspectives of flexible memristor for neuromorphic computing are discussed deeply,paving the way for constructing wearable smart electronics and applications in large-scale neuromorphic computing and high-order intelligent robotics.
文摘Diabetes mellitus represents a major global health issue,driving the need for noninvasive alternatives to traditional blood glucose monitoring methods.Recent advancements in wearable technology have introduced skin-interfaced biosensors capable of analyzing sweat and skin biomarkers,providing innovative solutions for diabetes diagnosis and monitoring.This review comprehensively discusses the current developments in noninvasive wearable biosensors,emphasizing simultaneous detection of biochemical biomarkers(such as glucose,cortisol,lactate,branched-chain amino acids,and cytokines)and physiological signals(including heart rate,blood pressure,and sweat rate)for accurate,personalized diabetes management.We explore innovations in multimodal sensor design,materials science,biorecognition elements,and integration techniques,highlighting the importance of advanced data analytics,artificial intelligence-driven predictive algorithms,and closed-loop therapeutic systems.Additionally,the review addresses ongoing challenges in biomarker validation,sensor stability,user compliance,data privacy,and regulatory considerations.A holistic,multimodal approach enabled by these next-generation wearable biosensors holds significant potential for improving patient outcomes and facilitating proactive healthcare interventions in diabetes management.
文摘This study presents a hybrid CNN-Transformer model for real-time recognition of affective tactile biosignals.The proposed framework combines convolutional neural networks(CNNs)to extract spatial and local temporal features with the Transformer encoder that captures long-range dependencies in time-series data through multi-head attention.Model performance was evaluated on two widely used tactile biosignal datasets,HAART and CoST,which contain diverse affective touch gestures recorded from pressure sensor arrays.TheCNN-Transformer model achieved recognition rates of 93.33%on HAART and 80.89%on CoST,outperforming existing methods on both benchmarks.By incorporating temporal windowing,the model enables instantaneous prediction,improving generalization across gestures of varying duration.These results highlight the effectiveness of deep learning for tactile biosignal processing and demonstrate the potential of theCNN-Transformer approach for future applications in wearable sensors,affective computing,and biomedical monitoring.
