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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults

Scientific Reports(2024)10.1038/s41598-024-71491-3Source: DataRank Database

Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0. It has been cited 17 times.

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Enrichment:Funding (10 grants)OA: goldTopics (28)IDs (PubMed)

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Authors (16)

Felix Kluge ORCID,Luca Palmerini ORCID,Anisoara Paraschiv-Ionescu ORCID,Clemens Becker ORCID,Andrea Cereatti ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: R01AG017917

National Institutes of Health

Grant: R01AG056352

National Institutes of Health

Grant: R01AG79133

National Institutes of Health

Grant: R01AT012228

Innovative Medicines Initiative

Grant: 820820

Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement

National Institutes of Health

Grant: 5R01AG017917-20

Epidemiologic Study of Neural Reserve and Neurobiology of Aging

National Institutes of Health

Grant: 5R01AG078256-03

Using instrumented everyday gait to predict falls in older adults using the WHS cohort

National Institutes of Health

Grant: 1R01AT012228-01

Chiropractic Care for Episodic Migraine

National Institutes of Health

Grant: 5R01AG056352-05

Impaired Gait in Older Adults: Pathologies of Alzheimer's disease and Related Disorders

National Institutes of Health

Grant: 5R01AG079133-02

Thinking about walking: Can digital phenotyping of mobility improve the prediction of Alzheimer's dementia and inform on the pathologies and proteins contributing to this association?

goldLicense: cc-by

publisherhttps://www.nature.com/articles/s41598-024-71491-3.pdf

publisherhttps://www.nature.com/articles/s41598-024-71491-3

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11379690/pdf/41598_2024_Article_71491.pdf

repositoryhttps://hdl.handle.net/11585/1031377

repositoryhttps://doaj.org/article/ea00dc8a187347d59f65fd0dffa32337

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Self-supervised learningMaleSciencePublished VersionOlder AdultsArticleMachine LearningWearable Electronic DevicesAccelerometryActivities of Daily LivingHumansAccelerometer; Gait; Machine learning; Older adults; Self-supervised learningGaitAgedAged, 80 and overddc:610QRWristMiddle AgedAccelerometerMedicineFemaleSupervised Machine LearningScholarlyArticleAlgorithms