Next Article in Journal
A Textile Based Polypyrrole Chloride Sensor for Agricultural Use
Previous Article in Journal
Fabrication of Hybrid Microfluidic System on Transparent Substrates for Electrochemical Applications
Article Menu
Issue 4 (Eurosensors 2017) cover image

Article Versions

Export Article

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

Embedded Wearable Integrating Real-Time Processing of Electromyography Signals

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome (I), Rome, Italy
STMicroelectronics, Agrate (I), Italy
Department of Neurology and Psychiatry, Sapienza University of Rome (I), Rome, Italy
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
(This article belongs to the Proceedings of Eurosensors 2017)
Download PDF [742 KB, uploaded 6 September 2017]


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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top