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 signals.A 64-channel Brain Vision EEG system was use