Abstract

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.

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