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强大的车载心跳检测使用多式联接信号融合
Joana M Warnecke1,2, Joan Lasenby3, Thomas M Deserno4
1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, 38106, Brunswick, Germany. joana.warnecke@plri.de.
Scientific reports
|November 27, 2023
概括
使用心电图 (ECG) 和光心电图 (PPG) 传感器的车载持续健康监测可以检测心脏不规则. 这项研究发现,大约一半的驾驶时间可用于此类生命体征监测.
科学领域:
- 生物医学工程 生物医学工程
- 心血管监测 心血管监测
- 汽车健康技术 汽车健康技术
背景情况:
- 在驾驶过程中早期发现疾病对于安全至关重要.
- 心跳不规则表明潜在的心血管问题,需要持续监测.
- 现有的方法缺乏整合的,非侵入性的解决方案,用于车载健康评估.
研究的目的:
- 开发和评估一个冗余的传感器系统,用于连续的车载心跳监测.
- 评估使用电心电图 (ECG) 和光电脉冲图 (PPG) 传感器集成到方向盘中的可行性.
- 用组合的传感器数据来确定适用于可靠的心跳检测的驾驶时间的比例.
主要方法:
- 开发了一个多余的系统,在方向盘上安装了ECG和PPG传感器,以及一个RGB摄像头.
- 使用SeetaFace连续检测面部地标和绿色通道分析来提取心跳.
- 结合早期,基于信号的晚期和基于传感器的晚期融合与混合卷积神经网络 (CNN) 和多数投票.
- 通过在城市,高速公路和乡村驾驶场景中使用身体电极的参考心电图来验证结果.
主要成果:
- 结合ECG和PPG的混合算法实现了51.75% (城市),58.62% (高速公路) 和55.96% (农村) 的可用监测时间.
- 该系统展示了在驾驶过程中持续进行心血管健康评估的潜力.
- 发现大约一半的驾驶时间适合可靠的心跳监测.
结论:
- 开发的车载传感器系统对早期检测心血管疾病充满希望.
- 通过集成的ECG和PPG传感器进行持续监测,可以在驾驶时间的很大一部分时间内实现.
- 未来的研究可以优化算法,进一步增加车辆运行期间可用的监控时间.
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