Classification of Parkinson's disease from smartphone recording data using time-frequency analysis and convolutional neural network

CONCLUSIONS: We achieve a respectable classification performance using a generalized approach on a dataset with a large number of samples. The result emphasizes that an analysis based on one-second clip recorded on a smartphone could be a promising non-invasive and remotely available PD biomarker.PMID:36155539 | DOI:10.3233/THC-220386
Source: Technology and Health Care - Category: Medical Devices Authors: Source Type: research