Smart combination of ECG and PPG signals: an innovative approach towards an electronic device for vital signs monitoring

Chiara Botrugno, E. Leogrande, Francesco Dell’Olio, Teresa Natale
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Abstract

Continuous vital signs monitoring is an important aid for preventing, diagnosing and timely treating different pathologies, especially in the field of cardiovascular and respiratory diseases. The aim of this work is to present a multiparameter tool for vital signs monitoring, starting from photoplethysmographic (PPG) and electrocardiographic (ECG) signal extraction and processing. In particular, a multi-wavelength photoplethysmographic sensor is used for the prediction of heart rate and the degree of blood hemoglobin oxygenation; with a simultaneous mining of the PPG signal with the ECG signal, it is also possible to determine the value of systolic pressure, by calculating the Pulse Transit Time (PTT), that is, the time interval between the R wave of the ECG signal and the subsequent systolic peak of the PPG signal. Such algorithms have been validated using reference instruments (sphygmomanometer and pulse oximeter): the performance is promising, with an average relative error of less than 5%. Results suggest that this innovative approach to vital signs monitoring can lead to the development of an electronic device that is simple to use, low cost and non-invasive.
ECG和PPG信号的智能组合:生命体征监测电子设备的创新方法
生命体征的持续监测是预防、诊断和及时治疗各种疾病,特别是心血管和呼吸系统疾病的重要辅助手段。这项工作的目的是提出一个多参数的生命体征监测工具,从光容积脉搏波(PPG)和心电图(ECG)信号的提取和处理开始。特别地,多波长光体积脉搏传感器用于预测心率和血液血红蛋白氧合程度;同时挖掘PPG信号与心电信号,还可以通过计算脉冲传递时间(PTT)来确定收缩压的值,即心电信号的R波与随后的PPG信号的收缩压峰值之间的时间间隔。这些算法已经用参考仪器(血压计和脉搏血氧计)进行了验证:性能是有希望的,平均相对误差小于5%。结果表明,这种创新的生命体征监测方法可以导致一种使用简单、成本低、无创的电子设备的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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