Continuous pulse wave signals monitoring is the essential basis for clinical cardiovascular diagnosis and treatment.Recent researches show the majority of current electronic pulse sensors usually face challenges in el...Continuous pulse wave signals monitoring is the essential basis for clinical cardiovascular diagnosis and treatment.Recent researches show the majority of current electronic pulse sensors usually face challenges in electrical safety concern,poor durability and demanding precision in position alignment.Thus,a highly sensitive,inherently electrical safe,robust and alignment-free device is highly desired.Here,we present a wearable alignment-free microfber-based sensor chip(AFMSC)for precise vital signs monitoring and cardiovascular health assessment.The AFMSC comprises an optical micro/nano fber sensor(MNF)and a fexible soft liquid sac while the MNF sensor is used to perceive the physiological signals and the liquid sac is used to eliminate the misalignment.The real-time and accurate monitoring of the pulse signals was realized by tracking the optical power variation of transmitted light from MNF.Then,the cardiovascular vital signs extracted from radial artery pulse signals were used to evaluate cardiovascular health condition and the results were in accordance with human physiological characteristics.Moreover,the pulse signals from diferent arterial area,the respiration signals from chest and the radial pulse signals before and after exercise were detected and analyzed.The non-invasive,continuous and accurate monitoring of cardiovascular health based on the reported wearable and alignment-free device is promising in both ftness monitoring and medical diagnostics for cardiovascular disease prevention and diagnosis.展开更多
To achieve dexterous motion controlling of robot,the sensors that function like human neurons for motion perception are essential.In this work,a silica microfber probe-based optical neuron(MPON)for robot fnger motion ...To achieve dexterous motion controlling of robot,the sensors that function like human neurons for motion perception are essential.In this work,a silica microfber probe-based optical neuron(MPON)for robot fnger motion detection is proposed.The silica microfber probe was fabricated by snapping a biconical silica optical microfber that drawn from the standard optical fbre.Then it was embedded into thin polydimethylsiloxane(PDMS)to detect and recognize motions of robotic fnger.Specifcally,a PDMS-Tefon-Microfber-Tefon-PDMS composite structure was prepared to protect the waveguide structure of silica microfber probe and avoid the environmental pollution.With the help of this composite structure,the proposed MPON achieved the accurate measurement of bending angle with large range and fast response.The repeatability and stability of MPON were also investigated.Additionally,diferent fnger motions were successfully distinguished through observing the output power variation of MPON.The proposed MPON could serve as the perceptron of robot hand,which could be applied in dexterous gesture control even human machine interaction.展开更多
基金This work was supported by the National Science Fund of China for Excellent Young Scholars(No.61922033)the Science Found for Creative Research Groups of the Natural Science Foundation of Hubei(No.2018CFA004)the Innovation Fund of WNLO.
文摘Continuous pulse wave signals monitoring is the essential basis for clinical cardiovascular diagnosis and treatment.Recent researches show the majority of current electronic pulse sensors usually face challenges in electrical safety concern,poor durability and demanding precision in position alignment.Thus,a highly sensitive,inherently electrical safe,robust and alignment-free device is highly desired.Here,we present a wearable alignment-free microfber-based sensor chip(AFMSC)for precise vital signs monitoring and cardiovascular health assessment.The AFMSC comprises an optical micro/nano fber sensor(MNF)and a fexible soft liquid sac while the MNF sensor is used to perceive the physiological signals and the liquid sac is used to eliminate the misalignment.The real-time and accurate monitoring of the pulse signals was realized by tracking the optical power variation of transmitted light from MNF.Then,the cardiovascular vital signs extracted from radial artery pulse signals were used to evaluate cardiovascular health condition and the results were in accordance with human physiological characteristics.Moreover,the pulse signals from diferent arterial area,the respiration signals from chest and the radial pulse signals before and after exercise were detected and analyzed.The non-invasive,continuous and accurate monitoring of cardiovascular health based on the reported wearable and alignment-free device is promising in both ftness monitoring and medical diagnostics for cardiovascular disease prevention and diagnosis.
基金This work was supported by the National Natural Science Foundation of China(NSFC)(Grant Number:61922033 and 61775072)the Innovation Fund of Wuhan National Laboratory for Optoelectronics(WNLO).
文摘To achieve dexterous motion controlling of robot,the sensors that function like human neurons for motion perception are essential.In this work,a silica microfber probe-based optical neuron(MPON)for robot fnger motion detection is proposed.The silica microfber probe was fabricated by snapping a biconical silica optical microfber that drawn from the standard optical fbre.Then it was embedded into thin polydimethylsiloxane(PDMS)to detect and recognize motions of robotic fnger.Specifcally,a PDMS-Tefon-Microfber-Tefon-PDMS composite structure was prepared to protect the waveguide structure of silica microfber probe and avoid the environmental pollution.With the help of this composite structure,the proposed MPON achieved the accurate measurement of bending angle with large range and fast response.The repeatability and stability of MPON were also investigated.Additionally,diferent fnger motions were successfully distinguished through observing the output power variation of MPON.The proposed MPON could serve as the perceptron of robot hand,which could be applied in dexterous gesture control even human machine interaction.
