Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy is implemented in the model to control two biomarkers of Parkinsonian tremor and motor impairment symptoms.
neural-networkcontrol-engineeringbrainpid-controlparkinsons-diseaselocal-field-potentialhodgkin-huxley-modelelectromyographymotoneurondeep-brain-stimulationmultivariable-controlforce-modelnervous-systemtremor-controlbeta-oscillations-deep-brain-stimulation
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Updated
Jul 9, 2024 - Python