0背景随着科技的飞速发展,可穿戴设备已经成为我们日常生活中不可或缺的一部分。从智能手表到智能手环,再到智能眼镜,这些设备不仅丰富了我们的生活方式,还为我们提供了便捷的健康监测和数据追踪功能。然而,作为便携式设备,可穿戴设备...0背景随着科技的飞速发展,可穿戴设备已经成为我们日常生活中不可或缺的一部分。从智能手表到智能手环,再到智能眼镜,这些设备不仅丰富了我们的生活方式,还为我们提供了便捷的健康监测和数据追踪功能。然而,作为便携式设备,可穿戴设备面临着电池续航能力的严峻挑战。如何在保证设备性能的同时,延长电池使用寿命,成为可穿戴设备设计的一大难题。低功耗SoC(System on Chip)设计的出现,为可穿戴设备的发展带来了新的机遇。通过高度集成和优化的设计,低功耗SoC能够显著降低设备的功耗,从而延长电池使用时间,提升用户体验。此外,低功耗SoC还具有体积小、重量轻等优点,非常适合可穿戴设备的形态需求。本文旨在探讨低功耗SoC设计在可穿戴设备中的创新实践。我们将从系统级、体系结构级以及寄存器传输级与逻辑/门级三个层面,深入剖析低功耗SoC设计的关键技术。同时,我们还将分析典型低功耗SoC产品在可穿戴设备中的应用,并总结其创新点。展开更多
The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an over...The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.展开更多
Heart rate variability(HRV)that can reflect the dynamic balance between the sympathetic nervous and parasympathetic nervous of human autonomic nervous system(ANS)has attracted considerable attention.However,traditiona...Heart rate variability(HRV)that can reflect the dynamic balance between the sympathetic nervous and parasympathetic nervous of human autonomic nervous system(ANS)has attracted considerable attention.However,traditional electrocardiogram(ECG)devices for HRV analysis are bulky,and hard wires are needed to attach measuring electrodes to the chest,resulting in the poor wearable experience during the long-term measurement.Compared with that,wearable electronics enabling continuously cardiac signals monitoring and HRV assessment provide a desirable and promising approach for helping subjects determine sleeping issues,cardiovascular diseases,or other threats to physical and mental well-being.Until now,significant progress and advances have been achieved in wearable electronics for HRV monitoring and applications for predicting human physical and mental well-being.In this review,the latest progress in the integration of wearable electronics and HRV analysis as well as practical applications in assessment of human physical and mental health are included.The commonly used methods and physiological signals for HRV analysis are briefly summarized.Furthermore,we highlighted the research on wearable electronics concerning HRV assessment and diverse applications such as stress estimation,drowsiness detection,etc.Lastly,the current limitations of the integrated wearable HRV system are concluded,and possible solutions in such a research direction are outlined.展开更多
文摘0背景随着科技的飞速发展,可穿戴设备已经成为我们日常生活中不可或缺的一部分。从智能手表到智能手环,再到智能眼镜,这些设备不仅丰富了我们的生活方式,还为我们提供了便捷的健康监测和数据追踪功能。然而,作为便携式设备,可穿戴设备面临着电池续航能力的严峻挑战。如何在保证设备性能的同时,延长电池使用寿命,成为可穿戴设备设计的一大难题。低功耗SoC(System on Chip)设计的出现,为可穿戴设备的发展带来了新的机遇。通过高度集成和优化的设计,低功耗SoC能够显著降低设备的功耗,从而延长电池使用时间,提升用户体验。此外,低功耗SoC还具有体积小、重量轻等优点,非常适合可穿戴设备的形态需求。本文旨在探讨低功耗SoC设计在可穿戴设备中的创新实践。我们将从系统级、体系结构级以及寄存器传输级与逻辑/门级三个层面,深入剖析低功耗SoC设计的关键技术。同时,我们还将分析典型低功耗SoC产品在可穿戴设备中的应用,并总结其创新点。
基金the support from the National Natural Science Foundation of China(22272004,62272041)the Fundamental Research Funds for the Central Universities(YWF-22-L-1256)+1 种基金the National Key R&D Program of China(2023YFC3402600)the Beijing Institute of Technology Research Fund Program for Young Scholars(No.1870011182126)。
文摘The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.
基金supported in part by National Science and Technology Major Project from the Minister of Science and Technology of China(2018AAA0103100).
文摘Heart rate variability(HRV)that can reflect the dynamic balance between the sympathetic nervous and parasympathetic nervous of human autonomic nervous system(ANS)has attracted considerable attention.However,traditional electrocardiogram(ECG)devices for HRV analysis are bulky,and hard wires are needed to attach measuring electrodes to the chest,resulting in the poor wearable experience during the long-term measurement.Compared with that,wearable electronics enabling continuously cardiac signals monitoring and HRV assessment provide a desirable and promising approach for helping subjects determine sleeping issues,cardiovascular diseases,or other threats to physical and mental well-being.Until now,significant progress and advances have been achieved in wearable electronics for HRV monitoring and applications for predicting human physical and mental well-being.In this review,the latest progress in the integration of wearable electronics and HRV analysis as well as practical applications in assessment of human physical and mental health are included.The commonly used methods and physiological signals for HRV analysis are briefly summarized.Furthermore,we highlighted the research on wearable electronics concerning HRV assessment and diverse applications such as stress estimation,drowsiness detection,etc.Lastly,the current limitations of the integrated wearable HRV system are concluded,and possible solutions in such a research direction are outlined.
