穿戴机器人检查清单:一种偏见风险工具,用于评估可穿戴技术研究的有效性和可靠性
Bryson Carrier1,2, Jennifer A Bunn3, Chris Eschbach4
1Department of Kinesiology, University of Nevada, Las Vegas, Las Vegas Nevada, United States of America.
PloS one
|February 9, 2026
概括
研究人员开发了WEAR-BOT (可穿戴技术偏差和客观性风险工具),以标准化可穿戴技术验证和可靠性研究中的偏差评估. 这种新的工具提高了可穿戴设备研究的方法严谨性和效率.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 可穿戴技术研究研究 穿戴技术研究
背景情况:
- 可穿戴技术研究需要标准化的方法来评估研究的有效性和可靠性.
- 现有的偏差风险工具通常不适合用于可穿戴设备验证和可靠性研究的特定方法.
研究的目的:
- 引入WEAR-BOT (偏见风险和客观性工具) 的可编程技术.
- 为评估可穿戴技术研究中的偏见提供全面和系统的方法.
- 在可穿戴设备研究中对有效性和可靠性的评估进行标准化.
主要方法:
- 开发涉及专家合作,代讨论,德尔菲式问卷和试点测试.
- 该WEAR-BOT包括有效性和可靠性研究的详细检查清单.
- 检查清单涵盖研究设计,方法和统计分析,平衡严谨与可用性.
主要成果:
- WEAR-BOT是第一个专门用于可穿戴技术验证和可靠性研究中偏差风险评估的工具.
- 该工具是实用的,用户友好的,并内置在微软Excel与直观的宏.
- 它提高了研究方法和统计分析的效率和标准化.
结论:
- WEAR-BOT显著推动了可穿戴技术领域研究的标准化.
- 它为提高有效性和可靠性研究的质量和一致性提供了一个实际的解决方案.
- 该工具促进了对可穿戴设备的更严格和客观的评估.
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