Implementation of a Deep Learning Algorithm Based on Vertical Ground Reaction Force Time–Frequency Features for the Detection and Severity Classification of Parkinson’s Disease

Conventional approaches to diagnosing Parkinson’s disease (PD) and rating its severity level are based on medical specialists’ clinical assessment of symptoms, which are subjective and can be inaccurate. These techniques are not very reliable, particularly in the early stages of the disease. A novel...

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Bibliografski detalji
Glavni autori:	Febryan Setiawan, Che-Wei Lin
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-07-01
Serija:	Sensors
Teme:	deep learning gait analysis Parkinson’s disease severity stages time–frequency spectrogram vertical ground reaction force (vGRF) signal
Online pristup:	https://www.mdpi.com/1424-8220/21/15/5207
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Implementation of a Deep Learning Algorithm Based on Vertical Ground Reaction Force Time–Frequency Features for the Detection and Severity Classification of Parkinson’s Disease

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