Research On The Wearable Oxygen And Blood Pressure Monitoring System Based On Ecg And Infrared Pulse

The rapid development of science and technology has driven the progress of the entire society.People are increasingly concerned about their own health while pursuing a rich material life.Due to air pollution and bad living habits,people with chronic diseases have become younger.In order to meet the needs of people who want to monitor health at anytime and anywhere,wearable devices come into being.Blood oxygen and blood pressure are important parameters reflecting the physiological function of human body.They are of great value to physical health(cardiovascular,cerebrovascular and circulatory system)and mental health(emotion and stress).This paper proposes a wearable blood oxygen and blood pressure monitoring system based on ECG and infrared pulse,which can collect,store,and transmi.In order to improve the wearable of the monitoring system,instead of the traditional placement of ECG electrodes such as on the chest or wrist,the hardware of the system is designed,and then integrate them into a single arm band.It is worn on the left upper arm when data collecting.The ECG signal amplitude when electrodes on the left arm was only about 10% of that when electrodes on the chest.In order to recognize the heartbeat effectively from the weak upper arm ECG signal,a machine learning frame is applied,the heart rate and pulse wave propagation time are calculated based on the characteristic points of the identified ECG and pulse signals.By comparing with the reference heart rate,it is shown that this non-standard single-lead configuration method can effectively replace the traditional configuration method,and the portability and comfort of the proposed method are also greatly improved compared with the traditional method.For the blood oxygen module,the calibration experiment and the linear regression analysis of the measured data were carried out,and the empirical equation of blood oxygen saturation was obtained.In addition,in order to improve the accuracy and generalization ability of the blood pressure estimation model,the blood pressure estimation model with heart rate variable is adopted and compared with the traditional blood pressure estimation models.Through error analysis and Bland-Altman visualization analysis to demonstrate that the blood pressure estimation model with HR has higher accuracy and generalization ability.