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IoT Health Monitoring Device of Oxygen Saturation (SpO2) and Heart Rate Level

机译:IoT健康监测装置的氧饱和度(SPO2)和心率水平

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People are normally suffering from body sickness such as heart disease, high blood pressure and diabetes when getting older. Thus, the health of elderly should be monitored to prepare for any emergency cases. This research presents a realtime monitoring system for elderly that is able to measure heart rate and Peripheral Capillary Oxygen Saturation Level (SpO2). The monitoring system is constructed using MAX30100 as front-end sensor and Node MCU (ESP8266) is used as microcontroller to collect and transfer the data to Cloud. Five healthy subjects have been chosen properly and their SpO2 and heart rate level are collected. All data undergone a few processes for validation such as segmentation and filtering. For SpO2, the data are computed to IR/RED variables. Then, the IR/RED are processed to get SpO2 ratio using empirically derived calibration curves in order to produce normal and abnormal results. For heart rate, a correlation test is conducted between the experimental reading with the reference reading. For the monitoring system, both SpO2 and heart rate data are combined to obtain the final classification of normal and abnormal. The result of the correlation test shows strong correlation value (rs=0.993). The percentage error is calculated between the developed system with a commercial oximeter which is resulted with less 3% and 1.03 % for SpO2 and heart rate, respectively. Based on the validation results, the monitoring system of SpO2 and heart rate is ready to be used. Also, the IoT system allows many authenticated users to monitor the patient condition.
机译:人们通常患上心脏病,高血压和糖尿病等患者患病。因此,应监测老年人的健康,以准备任何紧急情况。本研究为老年人提供了一种能够测量心率和外周毛细管饱和水平(SPO2)的实时监测系统。监控系统使用MAX30100构造,因为前端传感器和节点MCU(ESP8266)用作微控制器以收集和将数据传输到云。已正确选择五个健康受试者,并收集它们的SPO2和心率水平。所有数据都经过几个验证的进程,例如分段和过滤。对于SPO2,将数据计算为IR / RED变量。然后,处理IR /红色以使用经验导出的校准曲线获得SPO2比率,以产生正常和异常的结果。对于心率,在具有参考读数的实验读数之间进行相关试验。对于监测系统,组合SPO2和心率数据以获得正常和异常的最终分类。相关试验的结果显示出强相关值(Rs = 0.993)。在具有商业血氧计的开发系统之间计算百分比误差,其分别为SPO2和心率的3%和1.03%。基于验证结果,可以使用SPO2和心率的监测系统。此外,IOT系统允许许多经过身份验证的用户监视患者条件。

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