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Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Healthcare surveillance based on cloud computing utilizing mobile devices

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* Corresponding author · click or hover a name for details

pp. 1189–1196Vol. 26Issue 4June 2023DOI: 10.47974/JDMSC-1566 Crossmark XML
Received:
02 Mar 2022
Accepted:
05 May 2022
Published Online:
15 Jul 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1566
Pages:
1189–1196

Abstract

Cardiologists utilized electrocardiograms (ECGs) to observe cardiac disease in everyday life. A system for reading ECGs outside the hospital based on a Mobile Instrument (MobileInst) was developed to make it easier for specialists to observe their patients’ ECGs. A MobileInst receives an ECG signal and sends the signals to an ECG instrument based on the proposed system. By using MobileInst, ECG equipment alarms can be detected. A Cloud Alarm Service (SCA), which records ECG signaling and alert information, receives alarm information when MobileInst receives alarm signals. MobileInst displays the ECG signaling and alarm data when the messages are received by Alert Server. Using the suggested scheme, specialists can keep track of their patients’ ailments through ECG signaling sent to their MobileInst devices. Signals for this study were collected from the MIT-BIH PhysioBank database. In observing patients, the technique was found to be accurate in providing accurate results.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

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