Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques

Highlights•We use eighteen feature extraction techniques and four machine learning methods for detection of Parkinson‘s disease.•The results show that the Phonation task is the most suitable for use.•The results confirm that it is possible to develop mobile applications for detecting Parkinson’s dis...

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Veröffentlicht in:	Pattern recognition letters 2019-07, Vol.125, p.55-62
Hauptverfasser:	Almeida, Jefferson S., Rebouças Filho, Pedro P., Carneiro, Tiago, Wei, Wei, Damaševičius, Robertas, Maskeliūnas, Rytis, de Albuquerque, Victor Hugo C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer Science Computer Vision and Pattern Recognition Diagnosis Feature extraction Machine learning Parkinson’s disease Phonological features Speech processing
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