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Contactless sensors for Surface Electromyography

Authors: Lena Gourmelon; Geert Langereis;

Contactless sensors for Surface Electromyography

Abstract

Muscle activity can be monitored by measuring the surface electromyography (SEMG) signal at the surface of the body. The SEMG signal is a combination of several activation signals sent through the muscle fibers triggering the contraction of the muscle. SEMG enables to access those signals non-invasively. Usually, metal plate electrodes in combination with electrolytic gel are placed in direct contact with the skin to measure SEMG. For prolonged monitoring of the muscle activity, this type of electrodes is not comfortable and can cause skin irritation. In this paper, we demonstrate capacitive electrodes capable of sensing the SEMG signal. These contactless electrodes do not require direct contact with the skin and thus they can be suitable for prolonged monitoring of the muscle activity.

Related Organizations
Keywords

Equipment Failure Analysis, Electromyography, Transducers, Humans, Monitoring, Ambulatory, Equipment Design, Electric Capacitance, Electrodes, Clothing

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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