Log in to save to my catalogue

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 app...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2020_08_19_256982

Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel approach applicable to multimodal devices

About this item

Full title

Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel approach applicable to multimodal devices

Publisher

Cold Spring Harbor Laboratory

Journal title

bioRxiv, 2020-08

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor Laboratory

Subjects

Subjects and topics

More information

Scope and Contents

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...

Alternative Titles

Full title

Autocorrelation-based method to identify disordered rhythm in Parkinson’s disease tasks: a novel approach applicable to multimodal devices

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_biorxiv_primary_2020_08_19_256982

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2020_08_19_256982

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/2020.08.19.256982

How to access this item