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In-ear photoplethysmography for mobile cardiorespiratory monitoring and alarming

机译:入耳式光电容积描记器,用于移动式心肺监护和报警

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In this work, we report on human trials with the MedIT in-ear photoplethysmography (PPG) measurement system. The system is evaluated with healthy subjects and people suffering from heart insufficiency, respectively. Physiological heart activity can be measured with a minimal error of 1.2 heartbeats per minute and a regression coefficient of 0.9975 compared with standard ECG. Respiration related information was extracted by combining PPG amplitude analysis and car-diorespirational coupling (cardiorespiratory sinus arrhythmia). The moments of inspiration and expiration were estimated with a Naive Bayes' classifier with high sensitivity and specificity of 81,4% and 86%, respectively. For automatic cardiological alarming, a feature space is defined that clearly demonstrates the separability of normal heart rhythm and heart insufficiency. The results demonstrate a promising perspective for a mobile and long-term cardiorespiratory monitoring and alarming with an unobtrusive and inexspensive PPG measurement technique that is fully compatible to modern communication devices.
机译:在这项工作中,我们报告了使用MedIT入耳式光电体积描记器(PPG)测量系统进行的人体试验。该系统分别由健康受试者和患有心脏功能不全的人进行评估。与标准ECG相比,可以测量生理性心脏活动,且每分钟的最小误差为1.2心跳,回归系数为0.9975。通过将PPG幅度分析和心肺呼吸耦合(心肺窦性心律不齐)相结合来提取与呼吸有关的信息。使用朴素贝叶斯分类器评估吸气和呼气的时刻,该分类器具有高灵敏度和特异度,分别为81.4%和86%。对于自动心脏病警报,定义了一个特征空间,该特征空间清楚地表明了正常心律和心脏功能不全的可分离性。结果表明,通过与现代通信设备完全兼容的无干扰且功能强大的PPG测量技术,可进行移动式长期心肺监护和报警,具有广阔的前景。

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