Classifying Unstable and Stable Walking Patterns Using Electroencephalography Signals and Machine Learning Algorithms

Analyzing unstable gait patterns from Electroencephalography (EEG) signals is vital to develop real-time brain-computer interface (BCI) systems to prevent falls and associated injuries. This study investigates the feasibility of classification algorithms to detect walking instability utilizing EEG s...

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Detalles Bibliográficos
Autores principales: Soangra, Rahul, Smith, Jo Armour, Rajagopal, Sivakumar, Yedavalli, Sai Viswanth Reddy, Anirudh, Erandumveetil Ramadas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346345/
https://www.ncbi.nlm.nih.gov/pubmed/37447852
http://dx.doi.org/10.3390/s23136005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346345/
https://www.ncbi.nlm.nih.gov/pubmed/37447852
http://dx.doi.org/10.3390/s23136005

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