Analysis of Smartphone Recordings in Time Frequency and Cepstral Domains to Classify Parkinson’s Disease

摘要

Parkinson’s disease (PD) is the second most common neurodegenerative disorder; it affects more than 10 million people worldwide. Detecting PD usually requires a professional assessment by an expert, and investigation of the voice as a biomarker of the disease could be effective in speeding up the diagnostic process.