Passive Monitoring at Home: A Pilot Study in Parkinson Disease.

Gait speed Parkinson disease Quality of life Sleep disorders

Journal

Digital biomarkers
ISSN: 2504-110X
Titre abrégé: Digit Biomark
Pays: Switzerland
ID NLM: 101707633

Informations de publication

Date de publication:
Historique:
received: 08 10 2018
accepted: 11 02 2019
entrez: 26 2 2020
pubmed: 26 2 2020
medline: 26 2 2020
Statut: epublish

Résumé

We conducted a pilot study using a passive radio-wave-based home monitor in individuals with Parkinson disease (PD) with a focus on gait, home activity, and time in bed. We enrolled 7 ambulatory individuals to have the device installed in the bedroom of their homes over 8 weeks and performed standard PD assessments at baseline. We evaluated the ability of the device to objectively measure gait and time in bed and to generate novel visualizations of home activity. We captured 353 days of monitoring. Mean gait speed (0.39-0.78 m/s), time in bed per day (4.4-12.1 h), and number (1.4-5.9) and duration (15.0-49.8 min) of nightly awakenings varied substantially across and within individuals. Derived gait speed correlated well with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale total (

Identifiants

pubmed: 32095766
doi: 10.1159/000498922
pii: dib-0003-0022
pmc: PMC7015389
doi:

Types de publication

Journal Article

Langues

eng

Pagination

22-30

Subventions

Organisme : NINDS NIH HHS
ID : P20 NS092529
Pays : United States
Organisme : NINDS NIH HHS
ID : P50 NS108676
Pays : United States

Informations de copyright

Copyright © 2019 by S. Karger AG, Basel.

Déclaration de conflit d'intérêts

Z.K., C.S., A.G., C.-Y.H., and R.H. report no disclosures related to this paper. C.G.T. has received honoraria for speaking at American Academy of Neurology courses; research support from the Michael J. Fox Foundation, American Academy of Neurology Institute, and the National Institute of Neurological Disorders and Stroke, National Institute of Health. B.F. has received research support from the Michael J. Fox Foundation. E.R.D. has received honoraria for speaking at American Academy of Neurology courses; received compensation for consulting activities from 23 and Me, Clintrex, GlaxoSmithKline, Grand Rounds, Lundbeck, MC10, MedAvante, Medico Legal services, the National Institute of Neurological Disorders and Stroke, Shire, Teva, and UCB; research support from AMC Health, Burroughs Wellcome Fund, Davis Phinney Foundation, Duke University, Glaxo­SmithKline, Great Lakes Neurotechnologies, Greater Rochester Health Foundation, Huntington Study Group, the Michael J. Fox Foundation, National Science Foundation, Patient-Centered Outcomes Research Institute, Prana Biotechnology, Raptor Pharmaceuticals, Roche, Safra Foundation, and the University of California Irvine; and stock options from Grand Rounds. D.K. has received research support from the Michael J. Fox Foundation, Novartis, and LEO Pharma.

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Auteurs

Zachary Kabelac (Z)

Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Christopher G Tarolli (CG)

Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.

Christopher Snyder (C)

Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.

Blake Feldman (B)

Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.

Alistair Glidden (A)

Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.

Chen-Yu Hsu (CY)

Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Rumen Hristov (R)

Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

E Ray Dorsey (ER)

Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.

Dina Katabi (D)

Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Classifications MeSH