dc.contributor.author | Mohamad, Auday A.H. | |
dc.contributor.author | Jumaa, Noor Kareem | |
dc.contributor.author | Majeed, Sameer Hameed | |
dc.date.accessioned | 2018-12-30T14:20:44Z | |
dc.date.available | 2018-12-30T14:20:44Z | |
dc.date.issued | 2019-01-01 | |
dc.identifier.issn | 2210-142X | |
dc.identifier.uri | https://journal.uob.edu.bh:443/handle/123456789/3395 | |
dc.description.abstract | The Internet of Things (IoT) is a community of smart things that is a combination of sensors with network technology, cloud computing, and many data concepts. Presently, the IoT is applied in many fields, and one of the most critical issues is health monitoring systems since statistical analyses have shown that a human lose their life every minute across the globe. In Iraq, many lives are affected by heart attacks every day, because patients do not receive proper help at the right time. The electrocardiogram (ECG) signal is an important parameter for monitoring heart activity. This article focuses on the recruitment of IoT technology in the field of health applications and its main objective is to provide an ECG diagnostic system using Thingspeak IoT platform capability analysis and a reliable healthcare analytic system for patients that can be used by healthcare professionals for patient monitoring. The monitoring system is based on analysis and comparison of ECG signals using Principal Component Analysis (PCA).The proposed system collects and sends ECG signals from patients to the Thingspeak IoT platform for PCA. The system can classify the heart malady and gives people with unstable health a chance to be treated by healthcare professionals. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | University of Bahrain | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | ECG | en_US |
dc.subject | IoT | en_US |
dc.subject | Cloud Service | en_US |
dc.subject | Thingspeak | en_US |
dc.subject | Principal Component Analysis | en_US |
dc.title | Thingspeak Cloud Computing Platform Based ECG Diagnose System | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.12785/ijcds/080102 | |
dc.volume | 08 | en_US |
dc.issue | 01 | en_US |
dc.pagestart | 11 | en_US |
dc.pageend | 18 | en_US |
dc.contributor.authorcountry | Iraq | en_US |
dc.contributor.authoraffiliation | Computer Technology Eng. Dept., Al-Mansour University College, Baghdad, Iraq | en_US |
dc.source.title | International Journal of Computing and Digital Systems | en_US |
dc.abbreviatedsourcetitle | IJCDS | en_US |
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