Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion

Global aging leads to a surge in neurological diseases. Quantitative gait analysis for the early detection of neurological diseases can effectively reduce the impact of the diseases. Recently, extensive research has focused on gait-abnormality-recognition algorithms using a single type of portable s...

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Detalles Bibliográficos
Autores principales: Li, Jing, Liang, Weisheng, Yin, Xiyan, Li, Jun, Guan, Weizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675737/
https://www.ncbi.nlm.nih.gov/pubmed/38005489
http://dx.doi.org/10.3390/s23229101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675737/
https://www.ncbi.nlm.nih.gov/pubmed/38005489
http://dx.doi.org/10.3390/s23229101

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