High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson’s disease classification

Autor:	Jingyu Quan, Hirotaka Uchitomi, Ryo Shigeyama, Chenguang Gao, Taiki Ogata, Akira Inaba, Satoshi Orimo, Yoshihiro Miyake
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Acceleration Sensor Mechanomyogram Deep learning Parkinson Disease Classification Medicine Science
Zdroj:	Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Druh dokumentu:	article
ISSN:	2045-2322
DOI:	10.1038/s41598-024-74526-x
Popis:	Abstract High-sensitivity acceleration sensors have been independently developed by our research group to detect vibrations that are > 10 dB smaller than those detected by conventional commercial sensors. This study is the first to measure high-frequency micro-vibrations in muscle fibers, termed micro-mechanomyogram (MMG) in patients with Parkinson’s disease (PwPD) using a high-sensitivity acceleration sensor. We specifically measured the extensor pollicis brevis muscle at the base of the thumb in PwPD and healthy controls (HC) and detected not only low-frequency MMG (
Databáze:	Directory of Open Access Journals
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