Design of Internet of Things (IoT) and Android Based Low Cost Health Monitoring Embedded System Wearable Sensor for Measuring SpO2, Heart Rate and Body Temperature Simultaneously

被引:0
作者
Mian Mujtaba Ali
Shyqyri Haxha
Munna M. Alam
Chike Nwibor
Mohamed Sakel
机构
[1] Royal Holloway,Department of Electronic Engineering School of Engineering, Physical and Mathematical Sciences
[2] University of London,undefined
[3] East Kent University National Health Service FT Hospitals,undefined
来源
Wireless Personal Communications | 2020年 / 111卷
关键词
Wireless sensor; Pulse oximeter; Heart; Spectrophotometry; Internet of things (IoT);
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, an implementation of affordable medical technology health monitoring sensor system is developed and demonstrated to measure blood saturation levels (SpO2), heart rate and body temperature simultaneously. The embedded system is based on Arduino platform due to reliability and plug and play capability. The proposed pulse oximetry sensor uses spectrophotometry to calculate the ratio of oxygenated hemoglobin to deoxygenated hemoglobin which then is used to calculate the percentage of oxygenated blood levels. The accuracy of pulse oximeter is enhanced using light emitting diodes driver circuits, sample and hold circuits thus that a variable baseline can be established for different skin tones including the finger width where the measurements are undertaken. The embedded sensor system is designed to monitor SpO2, heart rate and body temperature and display the obtained results on an LCD. The measured vitals are also transmitted via Bluetooth module to Android mobile, and using Wi-Fi module to the internet, forming internet of things platform for the designed embedded system of sensors. The low cost embedded sensor system reported in this study can be used to monitor key health parameters of patients in hospitals or at home. The proposed affordable medical technology sensor system can be used as wearable wireless sensor which can be used as a plug and play sensor with Arduino to monitor human key health parameters. The measured health parameters are compared with commercially available ChoiceMMed pulse oximeter and a maximum deviation of 2% is observed which demonstrates that the proposed sensor device is highly accurate.
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页码:2449 / 2463
页数:14
相关论文
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