Smart ECG Holter Monitoring System Using Smartphone

L. N. Mahdy, Kadry Ali Ezzat, Qing Tan
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引用次数: 10

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.
使用智能手机的智能心电动态监测系统
预防心血管疾病需要连续监测跨时钟心电信号和活动状态。传统的心电动态心电图有许多电极连接在胸部,重量很大,患者携带非常困难,因此心电图监测通常需要患者长时间住院。本文介绍了一种基于Android手机应用程序开发的小型心电动态心电图仪,用于实时检测心律失常。通过心电的三电极传感器直接获取心电信号,然后通过蓝牙模块传输到Android智能手机。心电信号预处理算法在Arduino设备上实现。Android手机应用对患者心电数据进行分析分类,检测异常体征。测试和训练数据来源于El-Monofia大学的303例,正常162例,异常141例,分为冠状动脉病变57例,老年性前壁心肌梗死36例,窦性心动过速48例。实验结果表明,该系统在心律失常诊断的准确性和识别各种活动中最常见的异常方面得到了提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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