利用可穿戴设备数据进行综合征监测:一种发烧检测方法
Patrick Kasl1, Lauryn Keeler Bruce2, Wendy Hartogensis3
1Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, San Diego, CA 92093-0021, USA.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
可穿戴设备可以检测出发烧,用于公共卫生监测. 这项研究表明,Oura Ring数据可以识别发烧日,帮助实时检测疾病爆发.
科学领域:
- 数字流行病学数字流行病学
- 可穿戴技术是可穿戴的技术.
- 公共卫生监督是对公共卫生的监督.
背景情况:
- 可穿戴设备提供了持续的生理监测,显示了检测传染病的潜力,特别是那些带有发烧的传染病.
- 以前的研究表明可穿戴设备可以识别发烧发作,但它们对更广泛的综合征监测的实用性需要评估.
研究的目的:
- 评估可穿戴设备数据在一般综合征监测中的有效性.
- 开发和评估一个模型,用Oura Rings的生理数据来检测自我报告的发烧.
主要方法:
- 利用了来自63,153名佩戴奥拉戒指的参与者的数据,结合每日问卷答复.
- 建立了一个数据集,根据自我报告和温度将天分为发烧 (阳性类) 或无发烧 (负性类) 的分类.
- 训练了一种基于树的分类器,使用皮肤温度,心率和发烧日前后的夜晚的睡眠数据.
主要成果:
- 该模型实现了0.85的接收器操作特征曲线下的面积 (AUROC) 和0.25的平均精度 (AP).
- 在50%的灵敏度下,校准模型表现出0.8%的低错误阳性率.
- 来自16794名参与者的数据贡献了有效的地面真相日,包括724个发烧日和342,430个无发烧日.
结论:
- 在公共卫生层面上,利用可穿戴设备数据进行活体发烧监测是可行的.
- 实施这样的模型可以提高实时检测疾病的流行率和在疫情期间的传播.
- 可穿戴技术对推进公共卫生监测能力具有重大前景.
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