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Passive Monitoring at Home: A Pilot Study in Parkinson Disease.
Kabelac, Zachary; Tarolli, Christopher G; Snyder, Christopher; Feldman, Blake; Glidden, Alistair; Hsu, Chen-Yu; Hristov, Rumen; Dorsey, E Ray; Katabi, Dina.
Afiliação
  • Kabelac Z; Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Tarolli CG; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
  • Snyder C; Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.
  • Feldman B; Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.
  • Glidden A; Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.
  • Hsu CY; Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.
  • Hristov R; Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Dorsey ER; Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Katabi D; Center for Health & Technology, University of Rochester Medical Center, Rochester, New York, USA.
Digit Biomark ; 3(1): 22-30, 2019.
Article em En | MEDLINE | ID: mdl-32095766
ABSTRACT
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 (r = -0.88, p = 0.009) and motor sub-score (r = -0.95, p = 0.001). Six of the seven participants agreed that their activity was typical and indicated a willingness to continue monitoring. This technology provided promising new insights into the home activities of those with PD and may be broadly applicable to other chronic conditions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Digit Biomark Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Digit Biomark Ano de publicação: 2019 Tipo de documento: Article