Internet of things based real-time coronavirus 2019 disease patient health monitoring system
The coronavirus disease (COVID-19) outbreak has led to many infected worldwide and has become a global crisis. COVID-19 manifests in the form of shortness of breath, coughing and fever. More people are getting infected and healthcare systems worldwide are overwhelmed as healthcare workers become exh...
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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science (IAES)
2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/34976/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/34976/1/ABSTRACT.pdf |
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| author | Abraham Ninian Ejin Yew, Hoe Tung Mazlina Mamat Wong, Hock Tze @ Farrah Wong Ali Chekima Chung Seng Kheau @ Untung Ngen Fui |
| author_facet | Abraham Ninian Ejin Yew, Hoe Tung Mazlina Mamat Wong, Hock Tze @ Farrah Wong Ali Chekima Chung Seng Kheau @ Untung Ngen Fui |
| author_sort | Abraham Ninian Ejin |
| collection | UMS |
| description | The coronavirus disease (COVID-19) outbreak has led to many infected worldwide and has become a global crisis. COVID-19 manifests in the form of shortness of breath, coughing and fever. More people are getting infected and healthcare systems worldwide are overwhelmed as healthcare workers become exhausted and infected. Thus, remote monitoring for COVID-19 patients is required. An internet of things (IoT) based real-time health monitoring system for COVID-19 patients was proposed. It features monitoring of five physiological parameters, namely electrocardiogram (ECG), heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2) and body temperature. These vitals are processed by the main controller and transmitted to the cloud for storage. Healthcare professionals can read real-time patient vitals on the web-based dashboard which is equipped with an alert service. The proposed system was able to transmit and display all parameters in real-time accurately without any packet loss or transmission errors. The accuracy of body temperature readings, RR, SpO2 and HR, is up to 99.7%, 100%, 97.97% and 98.34%, respectively. Alerts were successfully sent when the parameters reached unsafe levels. With the proposed system, healthcare professionals can remotely monitor COVID-19 patients with greater ease, lessen their exposure to the pathogen, and improve patient monitoring. |
| first_indexed | 2024-03-06T03:22:28Z |
| format | Article |
| id | ums.eprints-34976 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:22:28Z |
| publishDate | 2022 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| record_format | dspace |
| spelling | ums.eprints-349762022-11-30T00:16:31Z https://eprints.ums.edu.my/id/eprint/34976/ Internet of things based real-time coronavirus 2019 disease patient health monitoring system Abraham Ninian Ejin Yew, Hoe Tung Mazlina Mamat Wong, Hock Tze @ Farrah Wong Ali Chekima Chung Seng Kheau @ Untung Ngen Fui QA71-90 Instruments and machines The coronavirus disease (COVID-19) outbreak has led to many infected worldwide and has become a global crisis. COVID-19 manifests in the form of shortness of breath, coughing and fever. More people are getting infected and healthcare systems worldwide are overwhelmed as healthcare workers become exhausted and infected. Thus, remote monitoring for COVID-19 patients is required. An internet of things (IoT) based real-time health monitoring system for COVID-19 patients was proposed. It features monitoring of five physiological parameters, namely electrocardiogram (ECG), heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2) and body temperature. These vitals are processed by the main controller and transmitted to the cloud for storage. Healthcare professionals can read real-time patient vitals on the web-based dashboard which is equipped with an alert service. The proposed system was able to transmit and display all parameters in real-time accurately without any packet loss or transmission errors. The accuracy of body temperature readings, RR, SpO2 and HR, is up to 99.7%, 100%, 97.97% and 98.34%, respectively. Alerts were successfully sent when the parameters reached unsafe levels. With the proposed system, healthcare professionals can remotely monitor COVID-19 patients with greater ease, lessen their exposure to the pathogen, and improve patient monitoring. Institute of Advanced Engineering and Science (IAES) 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34976/2/FULL%20TEXT.pdf text en https://eprints.ums.edu.my/id/eprint/34976/1/ABSTRACT.pdf Abraham Ninian Ejin and Yew, Hoe Tung and Mazlina Mamat and Wong, Hock Tze @ Farrah Wong and Ali Chekima and Chung Seng Kheau @ Untung Ngen Fui (2022) Internet of things based real-time coronavirus 2019 disease patient health monitoring system. International Journal of Electrical and Computer Engineering (IJECE), 12 (6). pp. 6806-6819. ISSN 2088-8708 (P-ISSN) , 2722-2578 (E-ISSN) https://jtec.utem.edu.my/jtec/article/view/3817/2761 https://doi.org/10.11591/ijece.v12i6.pp6806-6819 https://doi.org/10.11591/ijece.v12i6.pp6806-6819 |
| spellingShingle | QA71-90 Instruments and machines Abraham Ninian Ejin Yew, Hoe Tung Mazlina Mamat Wong, Hock Tze @ Farrah Wong Ali Chekima Chung Seng Kheau @ Untung Ngen Fui Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title | Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title_full | Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title_fullStr | Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title_full_unstemmed | Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title_short | Internet of things based real-time coronavirus 2019 disease patient health monitoring system |
| title_sort | internet of things based real time coronavirus 2019 disease patient health monitoring system |
| topic | QA71-90 Instruments and machines |
| url | https://eprints.ums.edu.my/id/eprint/34976/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/34976/1/ABSTRACT.pdf |
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