Identification of Parkinson’s Disease using Audio Signal

Abstract

Parkinson’s disease (PD) could be a slowly progressive neurodegenerative disorder that affects lots of People. In addition to the debilitating symptoms of PD itself, patients also experience a number of comorbidities, such as anxiety, depression, increased rates of infection, cardiac and gastrointestinal diseases, and injuries from falls. As a result, individuals with PD have higher medical needs, often miss work, retire early, and require the assistance of a caregiver. As such, the direct and indirect economic burden of PD is likely to be significant.

As a part of its initiative to identify risk of parkinson’s disease using speech abnormalities. This project depends on the features extraction the failure and success condition of the speech database which is to be collected from UCI.  To identify risk of parkinson’s disease using speech abnormalities.