| ORIGINAL ARTICLE |
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| Year : 2017 | Volume
: 7
| Issue : 4 | Page : 193-202 |
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Mobile Cardiac Health-care Monitoring and Notification with Real Time Tachycardia and Bradycardia Arrhythmia Detection
Mina Golzar1, Faranak Fotouhi-Ghazvini1, Hossein Rabbani2, Fahimeh Sadat Zakeri3
1 Department of Computer Engineering and IT, University of Qom, Qom, Iran
2 Department of Biomedical Engineering, Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3 Department of Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
Correspondence Address:
Faranak Fotouhi-Ghazvini
Department of Computer Engineering and IT, University of Qom, Qom
Iran
 Source of Support: None, Conflict of Interest: None  | 5 |
DOI: 10.4103/jmss.JMSS_17_17
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Background: The increasing trend of heart disease has turned the attention of researchers toward the use of portable connected technologies. The necessity of continuous special care for cardiovascular patients is an inevitable fact. Methods: In this research, a new wireless electrocardiographic (ECG) signal-monitoring system based on smartphone is presented. This system has two main sections. The first section consists of a sensor which receives ECG signals via an amplifier, then filters and digitizes the signal, and prepares it to be transmitted. The signals are stored, processed, and then displayed in a mobile application. The application alarms in dangerous situations and sends the location of the cardiac patient to family or health-care staff. Results: The results obtained from the analysis of the electrocardiogram signals on 20 different people have been compared with the traditional ECG in hospital by a cardiologist. The signal is instantly transmitted by 200 sample per second to mobile phone. The raw data are processed, the anomaly is detected, and the signal is drawn on the interface in about 70 s. Therefore, the delay is not noticeable by the patient. With respect to rate of data transmission to hospital, different internet connections such as 2G, 3G, 4G, WiFi, WiMax, or Long-Term Evolution (LTE) could be used. Data transmission ranges from 9.6 kbps to 20 Mbps. Therefore, the physician could receive data with no delay. Conclusions: A performance accuracy of 91.62% is obtained from the wireless ECG system. It conforms to the hospital’s diagnostic standard system while providing a portable monitoring anywhere at anytime. |
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