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Development of new muscle contraction sensor to replace sEMG for using in muscles analysis fields

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conference contribution
posted on 2015-05-22, 14:49 authored by Di Zhang, Y. Matsuoka, Weisheng Kong, U. Imtiaz, Luca Bartolomeo, Sarah Cosentino, Massimiliano ZeccaMassimiliano Zecca, Salvatore Sessa, Hiroyuki Ishii, Atsuo Takanishi
Nowadays, the technologies for detecting, processing and interpreting bioelectrical signals have improved tremendously. In particular, surface electromyography (sEMG) has gained momentum in a wide range of applications in various fields. However, sEMG sensing has several shortcomings, the most important being: measurements are heavily sensible to individual differences, sensors are difficult to position and very expensive. In this paper, the authors will present an innovative muscle contraction sensing device (MC sensor), aiming to replace sEMG sensing in the field of muscle movement analysis. Compared with sEMG, this sensor is easier to position, setup and use, less dependent from individual differences, and less expensive. Preliminary experiments, described in this paper, confirm that MC sensing is suitable for muscle contraction analysis, and compare the results of sEMG and MC sensor for the measurement of forearm muscle contraction.

Funding

This research has been supported by the JSPS Scientific Research-C grant [24500616], the JSPS Grant-in-Aid for Young Scientists (Wakate B) [25750259], the Global COE Program "Global Robot Academia", MEXT, Japan, and the Consolidated Research Institute for Advanced Science and Medical Care, Waseda University (ASMeW). It was also partially supported by a grant by STMicroelectronics, which also provided the core sensors and the microcontroller.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Pages

6945 - 6948

Citation

ZHANG, D. ... et al, 2014. Development of new muscle contraction sensor to replace sEMG for using in muscles analysis fields. IN: Proceedings of the 36th Annual International Conference on Engineering in Medicine and Biology Society (EMBC), 26th-30th August 2014, Chicago, pp. 6945 - 6948

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publication date

2014

Notes

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

1557-170X

Language

  • en

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