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Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency

Authors :
Sangjoon J. Kim
Veronica A. Swanson
George H. Collier
Amanda R. Rabinowitz
Daniel K. Zondervan
David J. Reinkensmeyer
Source :
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3251-3260 (2024)
Publication Year :
2024
Publisher :
IEEE, 2024.

Abstract

Home-based exercises are an important component of stroke rehabilitation but are seldom fully completed. Past studies of exercise perseverance in the general public have suggested the importance of early exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) because they encourage habit formation. To test whether these observations apply after a stroke, we leveraged data from 2,583 users of a sensor-based system (FitMi) developed to motivate movement exercises at home. We grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. We found that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 days/week or more had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.

Details

Language :
English
ISSN :
15344320, 15580210, and 44437595
Volume :
32
Database :
Directory of Open Access Journals
Journal :
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.2d320ac444375952b59a0042624bd
Document Type :
article
Full Text :
https://doi.org/10.1109/TNSRE.2024.3428915