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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Bibliografische gegevens

Hoofdauteurs:	Febryan Setiawan, Che-Wei Lin
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2021-07-01
Reeks:	Sensors
Onderwerpen:	deep learning gait analysis Parkinson’s disease severity stages time–frequency spectrogram vertical ground reaction force (vGRF) signal
Online toegang:	https://www.mdpi.com/1424-8220/21/15/5207
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