Parkinson disease prediction using machine learning-based features from speech signal

Parkinson's disease (PD) is a prevalent neurodegenerative disorder that has prompted the development of telediagnosis and remote monitoring systems. Dysphonia, a common symptom in the early stages of PD, affects approximately 90% of patients. Therefore, testing for persistent pronunciation or d...

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Vydané v:	Service oriented computing and applications Ročník 18; číslo 1; s. 101 - 107
Hlavní autori:	Yuan, Linlin, Liu, Yao, Feng, Hsuan-Ming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.03.2024 Springer Nature B.V
Predmet:	Acoustics Algorithms Archives & records Computer Appl. in Administrative Data Processing Computer Science Computer Systems Organization and Communication Networks Datasets Disease Dopamine e-Commerce/e-business Feature extraction IT in Business Machine learning Management of Computing and Information Systems Neural networks Pandemics Parkinson's disease Patients Remote monitoring Software Engineering/Programming and Operating Systems Special Issue Paper Speech Telemedicine Tremor (Muscular contraction) Wavelet transforms Parkinson disease Speech signal Machine learning
ISSN:	1863-2386, 1863-2394
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