Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper

• Shirata, Kento

• Inden, Yuki

• Kasai, Seiya

• Oya, Takahide

• Hagiwara, Yosuke

• Kaeriyama, Shunichi

• Nakamura, Hideyuki

抄録

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.

収録刊行物

• Japanese Journal of Applied Physics(JJAP)

  Japanese Journal of Applied Physics(JJAP) 55 (4), 04-, 2016-04

  IOP Publishing

詳細情報

• CRID: 1050845763954149760
• NII論文ID: 120006324928
• ISSN: 13474065
• ISSN: 00214922
• HANDLE: 2115/66629
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles