A data-driven approach to detect upper limb functional use during daily life in breast cancer survivors using wrist-worn sensors

Abstract To gain insights into the impact of upper limb (UL) dysfunctions after breast cancer treatment, this study aimed to develop a temporal convolutional neural network (TCN) to detect functional daily UL use in breast cancer survivors using data from a wrist-worn accelerometer. A pre-existing d...

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書誌詳細

出版年:	Scientific Reports
主要な著者:	Jill Emmerzaal, Benjamin Filtjens, Nieke Vets, Bart Vanrumste, Ann Smeets, An De Groef, Liesbet De Baets
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-08-01
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-67497-6