Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units

This paper develops Deep Neural Network (DNN) models that can recognize stroke gaits. Stroke patients usually suffer from partial disability and develop abnormal gaits that can vary widely and need targeted treatments. Evaluation of gait patterns is crucial for clinical experts to make decisions abo...

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Bibliographic Details
Published in:Sensors (Basel)
Main Authors: Wang, Fu-Cheng, Chen, Szu-Fu, Lin, Chin-Hsien, Shih, Chih-Jen, Lin, Ang-Chieh, Yuan, Wei, Li, You-Chi, Kuo, Tien-Yun
Format: Artigo
Language:Inglês
Published: MDPI 2021
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7962128/
https://ncbi.nlm.nih.gov/pubmed/33800061
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051864
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