Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel app...
Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel approach applicable to multimodal devices
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Cold Spring Harbor Laboratory
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English
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Cold Spring Harbor Laboratory
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Contents
We aim to propose a novel method of evaluating the degree of rhythmic irregularity during repetitive tasks in Parkinson’s disease (PD) by using autocorrelation to extract serial perturbation in the periodicity of body part movements as recorded by objective devices.
We used publicly distributed sequential joint movement data recorded during a le...
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Full title
Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel approach applicable to multimodal devices
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TN_cdi_biorxiv_primary_2020_08_19_256982
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2020_08_19_256982
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E-ISSN
2692-8205
DOI
10.1101/2020.08.19.256982