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Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper
| Title: | Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper |
| Authors: | Shirata, Kento Browse this author | | Inden, Yuki Browse this author | | Kasai, Seiya Browse this author →KAKEN DB | | Oya, Takahide Browse this author | | Hagiwara, Yosuke Browse this author | | Kaeriyama, Shunichi Browse this author | | Nakamura, Hideyuki Browse this author |
| Issue Date: | Apr-2016 |
| Publisher: | IOP Publishing |
| Journal Title: | Japanese Journal of Applied Physics(JJAP) |
| Volume: | 55 |
| Issue: | 4S |
| Start Page: | 04EM07 |
| Publisher DOI: | 10.7567/JJAP.55.04EM07 |
| Abstract: | We investigated the robust detection of surface electromyogram (EMG) signals based on the stochastic resonance (SR) phenomenon, in which the response to weak signals is optimized by adding noise, combined with multiple surface electrodes. Flexible carbon nanotube composite paper (CNT-cp) was applied to the surface electrode, which showed good performance that is comparable to that of conventional Ag/AgCl electrodes. The SR-based EMG signal system integrating an 8-Schmitt-trigger network and the multiple-CNT-cp-electrode array successfully detected weak EMG signals even when the subject's body is in the motion, which was difficult to achieve using the conventional technique. The feasibility of the SR-based EMG detection technique was confirmed by demonstrating its applicability to robot hand control. |
| Rights: | © 2016 The Japan Society of Applied Physics |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/66629 |
| Appears in Collections: | 量子集積エレクトロニクス研究センター (Research Center for Integrated Quantum Electronics) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 葛西 誠也
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