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Classification of Parkinson's disease and essential tremor based on balance and gait characteristics...

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9395662d2e984fff9f0ffa2d94f609f0

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach

About this item

Full title

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach

Publisher

England: BioMed Central Ltd

Journal title

Journal of neuroengineering and rehabilitation, 2020-09, Vol.17 (1), p.125-125, Article 125

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Parkinson's disease (PD) and essential tremor (ET) are movement disorders that can have similar clinical characteristics including tremor and gait difficulty. These disorders can be misdiagnosed leading to delay in appropriate treatment. The aim of the study was to determine whether balance and gait variables obtained with wearable inertial motion...

Alternative Titles

Full title

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9395662d2e984fff9f0ffa2d94f609f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9395662d2e984fff9f0ffa2d94f609f0

Other Identifiers

ISSN

1743-0003

E-ISSN

1743-0003

DOI

10.1186/s12984-020-00756-5

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