Automated Selection of Sit-to-Stand Inertial Signals Using Similarity Metrics

The 30-second sit-to-stand test (30s-CST) is widely used for assessing lower limb functionality, yet its conventional evaluation, focused solely on repetition counting, limits its diagnostic potential. This study aimed to develop a computational algorithm for the automated identification and segment...

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主要な著者:	Jessica Cristina Santos De Assis, Szymon Kulis, Amelia Pasqual Marques, Jan Gajewski, Eduardo Candido Veloso Ferreira, Gustavo Marques Rocha, Andre Dos Santos Cabral, Givago Da Silva Souza, Bianca Callegari
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Access
主題:	Sit-to-stand test inertial signals smartphone-based assessment lower limb functionality algorithm development motion analysis
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11358893/
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