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2020年至2022年间,新型睡眠跟踪和睡眠测试技术出版物的发展趋势
Steven Holfinger1, Sharon Schutte-Rodin2, Dulip Ratnasoma3
1The Ohio State University, Columbus, Ohio.
概括
关于睡眠技术的发表研究落后于它们的快速发展. 研究往往缺乏多样化的群体和严格的设计,强调需要改进对新型睡眠跟踪和测试设备的评估.
科学领域:
- 睡眠的药物 睡眠的药物
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 新的睡眠跟踪和测试技术正在迅速发展.
- 人工智能 (AI) 越来越多地用于睡眠数据的获取和处理.
- 研究趋势和这些技术的开发和评估中的差距需要注意.
研究的目的:
- 为睡眠药物供应商提供有关新型睡眠技术的公布研究的最新信息.
- 审查新的睡眠跟踪和测试设备的性能和应用.
- 确定睡眠技术 (包括人工智能应用) 的开发和评估中的研究趋势和差距.
主要方法:
- 在Medline和Embase数据库中搜索了2020-2022年间发表的研究.
- 包括专注于人类睡眠和使用查/诊断睡眠技术的研究.
- 使用牛津证据医学中心的证据水平标准评估研究质量.
主要成果:
- 在3,849篇文章中,包括了96篇,主要是成年人的性能验证研究.
- 睡眠追踪器研究通常是美国的,非行业资助,并使用非FDA批准的技术.
- 睡眠呼吸暂停测试技术更频繁地由行业资助和FDA批准;所有使用的人工智能/算法.
- 很少有研究采用随机设计或解决参与者偏见 (年龄,种族,并发症).
结论:
- 基于证据的出版物并没有跟上睡眠技术的普及步伐.
- 技术的变化需要仔细审查用于睡眠研究的软件.
- 未来的研究应该优先考虑多样化的群体,行业独立性和严格的研究设计.
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