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Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease

Ashima Khosla, Neelesh Kumar, Preeti Khera

2024Biomedical Signal Processing and Control10 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceGaitLatency (audio)Classifier (UML)AccelerometerRandom forestMachine learningReal-time computingSimulationPhysical medicine and rehabilitationMedicineTelecommunicationsOperating systemBalance, Gait, and Falls PreventionMuscle activation and electromyography studiesParkinson's Disease Mechanisms and Treatments
Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease | Litcius