An Automatic Non-Invasive Method for Parkinson's disease Classification

Approximately 60,000 Americans are diagnosed with Parkinson's disease (PD) each year in US and there is an estimate of seven to ten million people worldwide that are living with Parkinson's disease (statistics of Parkinson's disease foundation, [1]). Parkinson's is a neurodegenerative disease which is characterized by incapability of nerve cells to produce enough neurotransmitter in brain known as “dopamine”, affecting the gait pattern of an individual. The use of functional neuroimaging for diagnosis of neurodegenerative diseases including Parkinson's has been quite popular [2,3] however still there is a need of an alternate diagnosis method which can offer quick, easy, and low cost meas urement.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research