2014 EMBC - Zhang- new muscle contraction sensor_FINAL Verson.pdf (559.28 kB)

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

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conference contribution
posted on 22.05.2015 by Di Zhang, Y. Matsuoka, Weisheng Kong, U. Imtiaz, Luca Bartolomeo, Sarah Cosentino, Massimiliano 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.


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.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

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


6945 - 6948


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




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