Smart ECG Holter monitoring system using smartphone

Lamia Nabil Mahdy, Kadry Ali Ezzat, Qing Tan

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

10 Citations (Scopus)

Abstract

The Prevention of cardiovascular disease requires continuous monitoring of cross-clock ECG signals along with the activity status. Traditional ECG Holter has numerous electrodes connected to the chest, which is heavy, so it is very difficult to carry by the patient, so ECG monitoring usually requires the patient to stay in the hospital for a long time. This paper presented a small ECG Holter device that was developed to detect arrhythmias in real-time based on Android mobile application. The ECG signals are obtained directly through ECG's three-electrode sensor then transmitted through a Bluetooth module to Android smartphone. Prepossessing ECG signal algorithm is implemented on Arduino Device. Android mobile application analysis and classify patient's ECG data to detect abnormal signs. Data used in testing and training was 303 cases acquired from El-Monofia University, 162 cases were normal, and 141 cases were abnormally divided into 57 cases were Coronary Artery Disease, 36 cases were Old Anterior Myocardial Infarction, and 48 cases were Sinus tachycardia. The experimental results show that the presented system's performance has been improved in the accuracy of diagnosis of arrhythmias and the identification of the most widely recognized anomalies in various activities.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018
Pages80-84
Number of pages5
ISBN (Electronic)9781538673584
DOIs
Publication statusPublished - 2 Jul. 2018
Event2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018 - Bali, Indonesia
Duration: 1 Nov. 20183 Nov. 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018

Conference

Conference2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018
Country/TerritoryIndonesia
CityBali
Period1/11/183/11/18

Keywords

  • ECG Signal Monitoring
  • K-Nearest Neighbors Classifier
  • QRS Complex

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