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Proceedings 2017, 1(4), 600; doi:10.3390/proceedings1040600

Embedded Wearable Integrating Real-Time Processing of Electromyography Signals

1
Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome (I), Rome, Italy
2
STMicroelectronics, Agrate (I), Italy
3
Department of Neurology and Psychiatry, Sapienza University of Rome (I), Rome, Italy
4
IRCSS-NEUROMED, Pozzilli, IS (I), Italy
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
*
Author to whom correspondence should be addressed.
Published: 9 August 2017
Download PDF [742 KB, uploaded 6 September 2017]

Abstract

We realized a non-invasive wearable device able to record muscle activity using patch electrodes positioned on the skin over the muscle. It is an integrated system-on-board developed for the detection of several physical and physiologic human parameters which includes specific circuits for detecting the surface electromyography signal and algorithms for the real-time data processing optimized to low computational load. In real time, the proposed system dissipates only 26 mW and guarantees 20 h battery autonomy. The system exhibits performance comparable with those achieved with state-of-art wired equipment used in the hospitals, but with the advantage of being an embedded wearable wireless device.
Keywords: wearable for healthcare; embedded system; surface electromyography wearable for healthcare; embedded system; surface electromyography
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gentile, P.; Pessione, M.; Suppa, A.; Zampogna, A.; Irrera, F. Embedded Wearable Integrating Real-Time Processing of Electromyography Signals. Proceedings 2017, 1, 600.

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