Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

• Published in: IEEE transactions on biomedical engineering Vol. 59; no. 5; pp. 1264 - 1271
• Main Authors: Tsanas, Athanasios, Little, Max A., McSharry, Patrick E., Spielman, Jennifer, Ramig, Lorraine O.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2012; Institute of Electrical and Electronics Engineers
• Subjects: Aged; Aged, 80 and over; Applied sciences; Biological and medical sciences; Case-Control Studies; Classification algorithms; Decision support tool; Decision Trees; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases; Dysphonia - classification; Dysphonia - physiopathology; Entropy; Exact sciences and technology; feature selection (FS); Female; Frequency measurement; Humans; Information, signal and communications theory; Male; Medical sciences; Mel frequency cepstral coefficient; Middle Aged; Nervous system (semeiology, syndromes); Nervous system as a whole; Neurology; Noise; Noise measurement; Nonlinear Dynamics; nonlinear speech signal processing; Parkinson Disease - classification; Parkinson Disease - diagnosis; Parkinson Disease - physiopathology; Parkinson's disease (PD); random forests (RF); Signal processing; Signal Processing, Computer-Assisted; Speech; Speech processing; Support Vector Machine; support vector machines (SVM); Telecommunications and information theory; Nervous system diseases; Automatic classification; support vector machines (SVM); Decision support system; High precision; Parkinson's disease (PD); feature selection (FS); Parkinson disease; Support vector machine; Signal classification; Decision support tool; Cerebral disorder; random forests (RF); Algorithm performance; Central nervous system disease; Signal processing; Degenerative disease; nonlinear speech signal processing; Non linear processing; Speech processing; Extrapyramidal syndrome; Biomedical engineering

There has been considerable recent research into the connection between Parkinson's disease (PD) and speech impairment. Recently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to predict PD symptom severity using speech signals have been introduced. In this pap...