A Novel Approach for Upper Limb Functionality Assessment Based on Deep Learning and Multimodal Sensing Data

Upper limb rehabilitation is an effective methodology to restore and improve the functionality of patients after multiple medical events, such as strokes, arthroscopic surgery, and breast cancer surgery. High-quality rehabilitation training can promote the independent living of patients, thus enhanc...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.77138-77148
Hauptverfasser:	Miao, Sheng, Dang, Yukun, Zhu, Qixiu, Li, Sudong, Shorfuzzaman, Mohammad, Lv, Haibin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Accuracy Algorithms Angular velocity Deep learning healthcare LSTM neural network Machine learning Medical imaging Medical services Model accuracy Modelling multi-modal sensing data Multimodal sensors Neural networks Rehabilitation Sensor systems Sensors Stroke (medical condition) Surgery Training Upper limb functionality
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