An improved modeling of parkinson's tremor and investigation of some approaches to remove this symptom

Abstract

In this research, an improved model of Parkinsonian tremor is presented by using a mathematical and computational approach. In Parkinson's disease (PD), an abnormal signal is produced by basal ganglia (BG). This signal goes to the thalamus, then enters cortex and after interaction with peripheral system goes to muscle and finally appears as tremor. In the presented model, all of the mentioned process are simulated. Also, the skeletal muscle model as well as the central nervous system (basal ganglia, thalamus, cortex and supplementary motor area) and peripheral nervous system (spinal reflex) mechanisms are considered. In addition, two methods for tremor suppression are applied in this paper, 1) deep brain stimulation (DBS) which affects dopamine level in BG and 2) a mechanical method which is based on a negative feedback. The accuracy and efficiency of the presented simulation are demonstrated by comparison of the obtained results with those obtained by clinical tests.