Session Information
Date: Tuesday, June 6, 2017
Session Title: Technology
Session Time: 1:45pm-3:15pm
Location: Exhibit Hall C
Objective: To evaluate test-retest reliability and determine the optimal number of days of use for wearable sensors and a mobile software app to continuously and objectively assess Parkinson’s disease (PD) during activities of daily living.
Background: Consumer wearables linked with smartphone apps are becoming increasingly common to assess PD. Determining test-retest reliability and providing guidance for balancing patient burden and number of days of use required to obtain clinically significant results is essential for validation.
Methods: Thirteen adults (Age 53-74) with PD and at least two hours of OFF time and/or one hour of troublesome dyskinesia participated in a 5-month study. Participants were trained to don motion sensors on the wrist and ankle and use a smartphone app to start/stop data collection. Participants were instructed to use the system throughout the waking day for blocks of four consecutive days during the first week, third week, and each of months 2-5. At the end of each day of use, participants removed the sensors for wireless recharging and data upload to a server for processing into metrics quantifying tremor, dyskinesia, slowness, and gait throughout the day using previously validated algorithms. Intraclass correlation (ICC) and minimal detectable change (MDC) were calculated between weeks 1 and 3 when averaging 1, 2, 3, and 4 days of collected data.
Results: For each block a participant used the device for at least one day, compliance for 2, 3, and 4 days was 100%, 92%, and 84%, respectively. Average ICCs were 0.74, 0.80, 0.88, and 0.94 when including 1, 2, 3, and 4 days of data, respectively, while average MDCs were 22.4, 16.9, 13.2, and 10.1 (percent full scale).
Conclusions: Reliability and sensitivity improved with increasing number of days of use; however, so did patient burden. Three days of use may provide an optimal compromise to minimize patient burden without sacrificing reliability.
References: A version of this abstract was submitted to be presented at the American Academy of Neurology 2017 Annual Meeting.
To cite this abstract in AMA style:
D. Heldman, E. Urrea Mendoza, N. Mennucci, C. Zimmerman, J. Giuffrida, A. Hadley, Z. Mari, M. Burack, I. Itin, F. Revilla. Reliability of Continuous Parkinson’s Assessment Using Wearables [abstract]. Mov Disord. 2017; 32 (suppl 2). https://www.mdsabstracts.org/abstract/reliability-of-continuous-parkinsons-assessment-using-wearables/. Accessed July 10, 2025.« Back to 2017 International Congress
MDS Abstracts - https://www.mdsabstracts.org/abstract/reliability-of-continuous-parkinsons-assessment-using-wearables/