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-network control-engineering brain pid-control parkinsons-disease local-field-potential hodgkin-huxley-model electromyography motoneuron deep-brain-stimulation multivariable-control force-model nervous-system tremor-control beta-oscillations-deep-brain-stimulation
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Updated
Jul 9, 2024 - Python