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

被引:6
作者
Tham, O. Y. [1 ]
Markom, M. A. [1 ,2 ]
Abu Bakar, A. H. [1 ]
Tan, E. S. Mohd Muslim [1 ]
Markom, A. M. [3 ]
机构
[1] Univ Malaysia Perlis, Fac Elect Engn Technol, Perlis, Malaysia
[2] Univ Malaysia Perlis, Ctr Excellence, Adv Sensor Technol, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia
[3] Univ Teknol MARA Cawangan Johor, Johor Baharu 81750, Malaysia
来源
2020 1ST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, ADVANCED MECHANICAL AND ELECTRICAL ENGINEERING (ICITAMEE 2020) | 2020年
关键词
IoT device; SpO2; Heart rate; MAX30100; monitoring device;
D O I
10.1109/ICITAMEE50454.2020.9398455
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:128 / 133
页数:6
相关论文
共 15 条
  • [1] [Anonymous], 2020, INTRO NODEMCU
  • [2] [Anonymous], 2020, MAX30100 PULSE OXIME
  • [3] Bagha S., 2014, INT J COMPUT APPL, V36, P45
  • [4] Bangera V.G., 2017, International Journal of Recent Trends in Engineering and Research, V3, P431, DOI DOI 10.23883/IJRTER.2017.3246.UVYJC
  • [5] Comparison of SpO2 values from different fingers of the hands
    Basaranoglu, Gokcen
    Bakan, Mefkur
    Umutoglu, Tarik
    Zengin, Seniyye Ulgen
    Idin, Kadir
    Salihoglu, Ziya
    [J]. SPRINGERPLUS, 2015, 4
  • [6] David Chung Hu B., 2018, 2018 International Conference on Intelligent and Advanced System (ICIAS), P1, DOI DOI 10.1109/ICIAS.2018.8540567
  • [7] Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-based Processing: Opportunities and Challenges
    Hassanalieragh, Moeen
    Page, Alex
    Soyata, Tolga
    Sharma, Gaurav
    Aktas, Mehmet
    Mateos, Gonzalo
    Kantarci, Burak
    Andreescu, Silvana
    [J]. 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2015), 2015, : 285 - 292
  • [8] Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring
    Hossain, M. Shamim
    Muhammad, Ghulam
    [J]. COMPUTER NETWORKS, 2016, 101 : 192 - 202
  • [9] Ibrahim W. M. S. bin W., 2017, FACTORS LEADING MALA, DOI [10.4324/9781315693606, DOI 10.4324/9781315693606]
  • [10] Reflectance pulse oximetry: Practical issues and limitations
    Lee, Hooseok
    Ko, Hoon
    Lee, Jinseok
    [J]. ICT EXPRESS, 2016, 2 (04): : 195 - 198