数字增强视觉反的可用性测试用于受伤的舞者和运动员的远程运动康复:混合方法可行性研究
Theano Vikatou1, Caroline Jubb1, Manuela Angioi2
1Sports and Exercise Medicine, William Harvey Research Institute, Queen Mary University of London, London, UK; Physiotherapy Department, Barts Health NHS Trust, London, UK.
概括
这项研究开发了一种新的数字工具,以改善远程康复,提高运动精度和错误检测. 该工具显示了显著的可用性改进,使其适合更广泛地集成到康复软件中.
科学领域:
- 数字健康数字健康
- 康复技术 康复技术 康复技术
- 人类运动科学科学 人类运动科学
背景情况:
- 数字工具为可访问的康复提供了潜力,但经常面临软件可用性和实施方面的挑战,影响运动忠实性和患者的结果.
- 由于技术限制,现有的远程康复解决方案可能无法充分支持精确运动学习.
研究的目的:
- 开发一种新的数字工具,旨在提高远程康复的可靠性.
- 评估这个数字工具在支持远程引导康复方面的可用性和有效性.
主要方法:
- 在远程康复支持中采用了一种代融合混合方法方法.
- 开发了一种新的数字工具,在练习期间将最佳技术轮叠加到用户的身体上.
- 用户可用性使用系统可用性量表 (SUS) 和定性访谈进行评估;运动准确性,错误检测和信心被测量.
主要成果:
- 数字工具显示了显著的可用性改进,在代改进后,SUS分数从67增加到86.
- 定性分析确定了关键主题,包括可访问性,可接受性,易用性和满意度.
- 在反后的运动精度 (科恩d=0.9) 和错误检测 (d=0.61) 中观察到有意义的改善.
结论:
- 开发的数字工具有望改善远程康复,运动学习和运动质量.
- 解决的可用性问题表明,该工具适合于更广泛的发布和集成到现有的康复平台.
- 这项技术有可能提高远程患者护理和治疗结果.
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