在肺结核病患者的咳识别基于嵌入式ACC传感器的柔性贴片,用于远程监测
Jiawen Wang1, Chunyan Min2,3, Feng Yu1
1School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, China.
BMC medical informatics and decision making
|January 28, 2025
概括
这项研究开发了一种使用胸部贴片传感器的自动咳检测系统,用于监测肺结核病等呼吸道疾病. 该系统准确地识别健康人和患者的咳,帮助远程患者评估.
科学领域:
- 生物医学工程 生物医学工程
- 呼吸系统医学 呼吸系统医学
- 信号处理 信号处理
背景情况:
- 肺结核病和其他呼吸道疾病需要持续监测症状,如异常呼吸和咳.
- 当前的监控方法可能是侵入性的或缺乏连续的数据捕获.
研究的目的:
- 在临床环境中引入一种自动化,非侵入性的方法来检测咳事件.
- 为了评估柔性胸部贴片的有效性,配有三轴加速度传感器用于咳检测.
主要方法:
- 使用了带有加速度计 (ACC) 传感器的柔性胸部贴片,由25名健康成年人和25名肺结核病患者佩戴.
- 应用特征选择算法来识别前56%的特征用于咳分类.
- 采用多标准决策 (MCDM) 选择最佳分类器.
主要成果:
- 优化的分类器实现了高准确度 (87.1%的健康成年人,96.1%的患者) 和92%的整体准确度咳识别.
- 表现出卓越的性能指标,包括精度 (95%),回忆 (79.1%-97.4%),F1得分 (86.4%-96.2%) 和AUC (95.4%-98.7%).
结论:
- 自动咳识别系统对肺结核病患者和健康成年人都是有效的.
- 这项技术可以每天远程监测咳的发生情况,这可能有助于改善肺结核病患者的临床状态评估.
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