Title

Deep learning vs feature engineering in the assessment of voice signals for diagnosis in Parkinson’s disease

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2021

Volume

69

Issue

3

Affiliation

Majda-Zdancewicz, Ewelina : Faculty of Electronics, Military University of Technology, ul. Gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland ; Potulska-Chromik, Anna : Department of Neurology, Medical University of Warsaw, ul. Banacha 1a, 02-097 Warsaw, Poland ; Jakubowski, Jacek : Faculty of Electronics, Military University of Technology, ul. Gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland ; Nojszewska, Monika : Department of Neurology, Medical University of Warsaw, ul. Banacha 1a, 02-097 Warsaw, Poland ; Kostera-Pruszczyk, Anna : Department of Neurology, Medical University of Warsaw, ul. Banacha 1a, 02-097 Warsaw, Poland

Authors

Majda-Zdancewicz, Ewelina ; Potulska-Chromik, Anna ; Jakubowski, Jacek ; Nojszewska, Monika ; Kostera-Pruszczyk, Anna

Keywords

voice processing ; Parkinson’s disease ; non-linear analysis ; convolutional networks

Divisions of PAS

Nauki Techniczne

Coverage

e137347

Bibliography

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Date

22.03.2021

Type

Article

Identifier

DOI: 10.24425/bpasts.2021.137347

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; Early Access; e137347