基于原位焦耳热处理的自黏附柔性表面肌电电极阵列设计与制备
The design and fabrication of self-adhesive flexible surface EMG electrode array based on in-situ Joule heat treatment
胡洋 1陆骐峰 2黄建尊 3孙富钦 4夏翌彰 3曹云 5聂伟荣 5张珽6
作者信息
- 1. 南京理工大学机械工程学院,南京 210094;中国科学院苏州纳米技术与纳米仿生研究所,创新实验室,NANO-X纳米真空互联实验站,苏州 215123
- 2. 西交利物浦大学芯片学院,苏州 215123
- 3. 湘潭大学计算机学院·网络空间安全学院,湘潭 411105
- 4. 中国科学院苏州纳米技术与纳米仿生研究所,创新实验室,NANO-X纳米真空互联实验站,苏州 215123
- 5. 南京理工大学机械工程学院,南京 210094
- 6. 中国科学院苏州纳米技术与纳米仿生研究所,创新实验室,NANO-X纳米真空互联实验站,苏州 215123;中国科学技术大学,纳米技术与纳米仿生学院,合肥 230026
- 折叠
摘要
随着柔性电子的发展,表皮电子在人机交互中的作用越来越突出.然而,柔性器件的稳定性和可靠性仍然是其得到广泛应用的一个挑战.本文设计一种以聚乙烯醇(PVA)为衬底,金(Au)为电极层的表面肌电(sEMG)电极阵列,通过原位焦耳加热方法对有源区域PVA衬底进行精确热处理调控,提高其结晶度和模量,提升有源区域电极的稳定性.基于该方法制备的sEMG电极阵列实现了与皮肤的共形贴附,可稳定采集8 h以上的高信噪比(达到21.3 dB)的肌电信号,进一步开展了基于sEMG信号的手势识别应用研究,识别率可达99.27％.以上结果表明,本研究提出的sEMG电极阵列制备方法简单高效,可长时间稳定工作,有望在基于sEMG信号的人机交互领域中得到应用.
Abstract
With the development of flexible electronics,epidermal electronics have played an increasingly prominent role in human-computer interaction.However,the stability and reliability of flexible devices remain a challenge for their widespread applications.In this paper,a surface electromyography(sEMG)electrode array is designed with polyvinyl alcohol as the substrate and gold(Au)as the electrode layer.The active area is accurately treated by in-situ Joule heating to improve the crystallinity and modulus to enhance the electrode stability.The sEMG electrode array can conformally attach to the skin,and an sEMG signal with high signal-to-noise(～21.3 dB)can be recorded for over 8 hours.Further research on the application of gesture recognition based on the sEMG signal was conducted,and the recognition rate reached 99.27％.The above results show that the preparation method of the sEMG electrode array proposed in this study is simple and efficient,can work stably for a long time,and can be applied in the field of human-computer interaction based on sEMG signals.
关键词
表面肌电/电极阵列/焦耳加热/手势识别Key words
surface electromyography/electrode array/Joule heating/gesture recognition引用本文复制引用
基金项目
国家自然科学基金(62125112)
国家自然科学基金(62071463)
国家自然科学基金(62071462)
国家自然科学基金(22109173)
西交利物浦科研发展基金(RDF-21-01-027)
出版年
2024
NETL
NSTL
万方数据