Conference item icon

Conference item

A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements

Abstract:

Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various data-driven techniques such as machine learning and statistical approaches. However, it is well-known that sEMGs are usually weak signals with a smaller amplitude and a lower signal-to-noise ratio, making it difficult to apply the traditional signal process...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1109/embc46164.2021.9631010

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Expand authors...
Publisher:
IEEE Publisher's website
Pages:
2238-2241
Host title:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Publication date:
2021-12-09
Acceptance date:
2021-07-16
Event title:
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Event location:
Virtual event
Event website:
https://embc.embs.org/2021/
Event start date:
2021-11-01T00:00:00Z
Event end date:
2021-11-05T00:00:00Z
DOI:
EISSN:
2694-0604
ISSN:
2375-7477
Pmid:
34891732
ISBN:
9781728111797
Language:
English
Keywords:
Pubs id:
1241537
Local pid:
pubs:1241537
Deposit date:
2022-09-14

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP