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利用大规模传感器数据测试家庭运动康复中预测坚持性的因素:最佳挑战与持续参与。

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement.

作者信息

Ramos Muñoz Edgar De Jesus, Swanson Veronica Ann, Johnson Christopher, Anderson Raeda K, Rabinowitz Amanda R, Zondervan Daniel K, Collier George H, Reinkensmeyer David J

机构信息

Department of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.

Department of Biomedical Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.

出版信息

Front Neurol. 2022 Jun 20;13:896298. doi: 10.3389/fneur.2022.896298. eCollection 2022.

Abstract

Persevering with home rehabilitation exercise is a struggle for millions of people in the US each year. A key factor that may influence motivation to engage with rehabilitation exercise is the challenge level of the assigned exercises, but this hypothesis is currently supported only by subjective, self-report. Here, we studied the relationship between challenge level and perseverance using long-term, self-determined exercise patterns of a large number of individuals ( = 2,581) engaging in home rehabilitation with a sensor-based exercise system without formal supervision. FitMi is comprised of two puck-like sensors and a library of 40 gamified exercises for the hands, arms, trunk, and legs that are designed for people recovering from a stroke. We found that individuals showed the greatest perseverance with the system over a 2-month period if they had (1) a moderate level of motor impairment and (2) high but not perfect success during the 1st week at completing the exercise game. Further, a steady usage pattern (vs. accelerating or decelerating use) was associated with more overall exercise, and declines in exercise amount over time were associated with exponentially declining session initiation probability rather than decreasing amounts of exercise once a session was initiated. These findings confirm that an optimized challenge level and regular initiation of exercise sessions predict achievement of a greater amount of overall rehabilitation exercise in a group of users of commercial home rehabilitation technology and suggest how home rehabilitation programs and exercise technologies can be optimized to promote perseverance.

摘要

每年,坚持家庭康复锻炼对美国数百万人来说都是一项难事。可能影响参与康复锻炼积极性的一个关键因素是所分配锻炼的挑战程度,但这一假设目前仅得到主观的自我报告的支持。在此,我们利用大量个体(n = 2581)在没有正式监督的情况下使用基于传感器的锻炼系统进行家庭康复的长期、自主锻炼模式,研究了挑战程度与坚持之间的关系。FitMi由两个圆盘状传感器和一个包含40种针对手部、手臂、躯干和腿部的游戏化锻炼的库组成,这些锻炼是为中风康复者设计的。我们发现,如果个体(1)有中度运动障碍,且(2)在第一周完成锻炼游戏时成功率高但并非完美,那么他们在两个月内对该系统的坚持程度最高。此外,稳定的使用模式(与加速或减速使用相比)与更多的总体锻炼相关,随着时间推移锻炼量的下降与锻炼开始概率呈指数下降相关,而不是与一次锻炼开始后的锻炼量减少相关。这些发现证实,优化的挑战程度和定期开始锻炼课程能够预测在一组使用商业家庭康复技术的用户中实现更大的总体康复锻炼量,并表明家庭康复计划和锻炼技术如何能够优化以促进坚持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9254/9252527/fdc779ba300d/fneur-13-896298-g0001.jpg

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