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Using Wearable Sensors and Machine Learning to Assess Upper Limb Function in Huntington's Disease

Research Square(2024)10.21203/rs.3.rs-4355136/v1Source: DataRank Database

Using Wearable Sensors and Machine Learning to Assess Upper Limb Function in Huntington's Disease is a research paper published in Research Square (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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Enrichment:Funding (4 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)

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Authors (11)

İlkay Yıldız Potter ORCID,Ram Kinker Mishra ORCID,Jose Casado ORCID,Nima Dana,Andrew Geronimo ORCID

Live enrichment

PubMed:38883736 OpenAlex:https://openalex.org/W4399294533

National Institutes of Health

Grant: 5R44NS103648-02

Wearable Sensors for Quantitative Assessment of Motor Impairment in Huntington's Disease

National Institutes of Health

Grant: 1R44HD084035-01A1

Wrist-worn Sensors for Tele-Rehabilitation of the Hemiparetic Upper-Extremity

NICHD NIH HHS

Grant: R44 HD084035

NINDS NIH HHS

Grant: R44 NS103648

greenLicense: cc-by

repositoryhttps://doi.org/10.21203/rs.3.rs-4355136/v1

publisherhttps://www.researchsquare.com/article/rs-4355136/v1

publisherhttps://www.researchsquare.com/article/rs-4355136/v1.html

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38883736

Fields of Study

Genetic Neurodegenerative DiseasesNeurological disorders and treatmentsBotulinum Toxin and Related Neurological Disorders03 medical and health sciences0305 other medical science

Keywords

Huntington's diseaseWearable computerFunction (biology)Physical medicine and rehabilitationComputer scienceDiseasePsychologyArtificial intelligenceMedicineBiologyEmbedded systemRArticleHuntington’s diseaseaccelerometerdigital health biomarkersupper limb functionwearable sensors