Application of high-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning for Parkinson’s disease classification

Application of high-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning for Parkinson’s disease classification

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...

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Main Authors: Jingyu Quan, Hirotaka Uchitomi, Ryo Shigeyama, Chenguang Gao, Taiki Ogata, Akira Inaba, Satoshi Orimo, Hiroyuki Ito, Katsuyuki Machida, Masato Sone, Yoshihiro Miyake
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Acceleration Sensor
Mechanomyogram
Deep learning
Parkinson Disease
Classification
Online Access:https://doi.org/10.1038/s41598-024-74526-x
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https://doi.org/10.1038/s41598-024-74526-x

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