This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (743) Fitness Trackers and Smart Pedometers/Accelerometers (664) Portable and Mobile Technologies for Rehabilitation (198) Wearable Devices and Sensors (1132) mHealth for Data Collection and Research (1195) Stroke (243) mHealth for Rehabilitation (352) Innovations in Exercise Rehabilitation (283)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63064, first published .
Moving Standard Deviation of Trunk Acceleration as a Quantification Index for Physical Activities: Validation Study

Moving Standard Deviation of Trunk Acceleration as a Quantification Index for Physical Activities: Validation Study

Moving Standard Deviation of Trunk Acceleration as a Quantification Index for Physical Activities: Validation Study

Authors of this article:

Takuya Suzuki1 Author Orcid Image ;   Yuji Kono1 Author Orcid Image ;   Takayuki Ogasawara2 Author Orcid Image ;   Masahiko Mukaino3, 4 Author Orcid Image ;   Yasushi Aoshima1 Author Orcid Image ;   Shotaro Furuzawa1 Author Orcid Image ;   Yurie Fujita1 Author Orcid Image ;   Hirotaka Matsuura3 Author Orcid Image ;   Masumi Yamaguchi2 Author Orcid Image ;   Shingo Tsukada2 Author Orcid Image ;   Yohei Otaka3 Author Orcid Image
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Shota｜AIで論文要約 × 臨床アップデート???? Shota｜AIで論文要約 × 臨床アップデート???? @medi_ai_physio

脳卒中後の歩行機能評価に、AIによる画像解析技術を用いた新手法が登場。従来の歩行分析は高価な設備を必要としましたが、この研究ではDeep Researchを活用して、動画から歩行パラメータを正確に推定できるようです。 https://t.co/GDXHHxsvB6

10:10 PM · Oct 16, 2025

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