Surface electromyogram(sEMG)serves as a means to discern human movement intentions,achieved by applying epidermal electrodes to specific body regions.However,it is difficult to obtain high-fidelity sEMG recordings in ...Surface electromyogram(sEMG)serves as a means to discern human movement intentions,achieved by applying epidermal electrodes to specific body regions.However,it is difficult to obtain high-fidelity sEMG recordings in areas with intricate curved surfaces,such as the body,because regular sEMG electrodes have stiff structures.In this study,we developed myoelectrically sensitive hydrogels via 3D printing and integrated them into a stretchable,flexible,and high-density sEMG electrodes array.This electrode array offered a series of excellent human-machine interface(HMI)features,including conformal adherence to the skin,high electron-to-ion conductivity(and thus lower contact impedance),and sustained stability over extended periods.These attributes render our electrodes more conducive than commercial electrodes for long-term wearing and high-fidelity sEMG recording at complicated skin interfaces.Systematic in vivo studies were used to investigate its efficacy to control a prosthetic hand by decoding sEMG signals from the human hand via a multiple-channel readout circuit and a sophisticated artificial intelligence algorithm.Our findings demonstrate that the 3D printed gel myoelectric sensing system enables real-time and highly precise control of a prosthetic hand.展开更多
Surface electromyography(sEMG)is widely used in monitoring human health.Nonetheless,it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx,because regul...Surface electromyography(sEMG)is widely used in monitoring human health.Nonetheless,it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx,because regular sEMG electrodes have stiff structures.In this study,we developed a stretchable,high-density sEMG electrode array via layerby-layer printing and lamination.The electrode offered a series of excellent human‒machine interface features,including conformal adhesion to the skin,high electron-to-ion conductivity(and thus lower contact impedance),prolonged environmental adaptability to resist water evaporation,and epidermal biocompatibility.This made the electrode more appropriate than commercial electrodes for long-term wearable,high-fidelity sEMG recording devices at complicated skin interfaces.Systematic in vivo studies were used to investigate its ability to classify swallowing activities,which was accomplished with high accuracy by decoding the sEMG signals from the chin via integration with an ear-mounted wearable system and machine learning algorithms.The results demonstrated the clinical feasibility of the system for noninvasive and comfortable recognition of swallowing motions for comfortable dysphagia rehabilitation.展开更多
基金supported by the National Natural Science Foundation of China(grant numbers 42177440 and 52075177)the National Key Research and Development Program of China(Grant No.2021YFB3301400).
文摘Surface electromyogram(sEMG)serves as a means to discern human movement intentions,achieved by applying epidermal electrodes to specific body regions.However,it is difficult to obtain high-fidelity sEMG recordings in areas with intricate curved surfaces,such as the body,because regular sEMG electrodes have stiff structures.In this study,we developed myoelectrically sensitive hydrogels via 3D printing and integrated them into a stretchable,flexible,and high-density sEMG electrodes array.This electrode array offered a series of excellent human-machine interface(HMI)features,including conformal adherence to the skin,high electron-to-ion conductivity(and thus lower contact impedance),and sustained stability over extended periods.These attributes render our electrodes more conducive than commercial electrodes for long-term wearing and high-fidelity sEMG recording at complicated skin interfaces.Systematic in vivo studies were used to investigate its efficacy to control a prosthetic hand by decoding sEMG signals from the human hand via a multiple-channel readout circuit and a sophisticated artificial intelligence algorithm.Our findings demonstrate that the 3D printed gel myoelectric sensing system enables real-time and highly precise control of a prosthetic hand.
基金supported by the National Natural Science Foundation of China(grant numbers 42177440 and 51903079)National Natural Science Foundation of China(grant no.52075177)+1 种基金National Key Research and Development Program of China(grant no.2021YFB3301400)Research Foundation of Guangdong Province(grant no.2019A050505001).
文摘Surface electromyography(sEMG)is widely used in monitoring human health.Nonetheless,it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx,because regular sEMG electrodes have stiff structures.In this study,we developed a stretchable,high-density sEMG electrode array via layerby-layer printing and lamination.The electrode offered a series of excellent human‒machine interface features,including conformal adhesion to the skin,high electron-to-ion conductivity(and thus lower contact impedance),prolonged environmental adaptability to resist water evaporation,and epidermal biocompatibility.This made the electrode more appropriate than commercial electrodes for long-term wearable,high-fidelity sEMG recording devices at complicated skin interfaces.Systematic in vivo studies were used to investigate its ability to classify swallowing activities,which was accomplished with high accuracy by decoding the sEMG signals from the chin via integration with an ear-mounted wearable system and machine learning algorithms.The results demonstrated the clinical feasibility of the system for noninvasive and comfortable recognition of swallowing motions for comfortable dysphagia rehabilitation.
