An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation

An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation
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DOI:
10.1109/titb.2010.2047401
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发表时间:
2010-05-01
影响因子:
--
通讯作者:
Ko, Li-Wei
Ko, Li-Wei
中科院分区:
其他
文献类型:
--
作者:
Lin, Chin-Teng;Chang, Kuan-Cheng;Ko, Li-Wei

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这项研究提出了一种新颖的无线、动态、实时和自动报警的智能远程心电系统,以改善心血管疾病的医疗保健。心血管疾病是世界上最普遍和最昂贵的健康问题之一。该系统由一个内置自动报警专家系统的轻便节电无线心电图仪组成。该设备连接到一个移动的、无处不在的实时显示平台。采集到的心电信号通过蓝牙即时传输到上网本或手机等移动设备上,然后由专家系统进行处理。一旦检测到异常的心电,就向远程数据库服务器发送警报信号,该远程数据库服务器可由互联网浏览器访问。目前版本的专家系统可以实时识别五种类型的异常心律,包括窦性心动过速、窦性心动过缓、宽QRS波群、房颤(AF)和心搏停止,这对被监测对象和追踪心律紊乱的医护人员都非常重要。当出现问题时,拟议的系统还会激活紧急医疗警报系统。临床试验表明,该系统对10例正常人和20例房颤患者的诊断准确率约为94%,具有较高的敏感性、特异性和阳性预测率。我们相信,在未来,一个名片式的心电设备,配上一部手机,可以使普遍的心脏保护服务成为可能。
This study presents a novel wireless, ambulatory, real-time, and autoalarm intelligent telecardiology system to improve healthcare for cardiovascular disease, which is one of the most prevalent and costly health problems in the world. This system consists of a lightweight and power-saving wireless ECG device equipped with a built-in automatic warning expert system. This device is connected to a mobile and ubiquitous real-time display platform. The acquired ECG signals are instantaneously transmitted to mobile devices, such as netbooks or mobile phones through Bluetooth, and then, processed by the expert system. An alert signal is sent to the remote database server, which can be accessed by an Internet browser, once an abnormal ECG is detected. The current version of the expert system can identify five types of abnormal cardiac rhythms in real-time, including sinus tachycardia, sinus bradycardia, wide QRS complex, atrial fibrillation (AF), and cardiac asystole, which is very important for both the subjects who are being monitored and the healthcare personnel tracking cardiac-rhythm disorders. The proposed system also activates an emergency medical alarm system when problems occur. Clinical testing reveals that the proposed system is approximately 94% accurate, with high sensitivity, specificity, and positive prediction rates for ten normal subjects and 20 AF patients. We believe that in the future a business-card-like ECG device, accompanied with a mobile phone, can make universal cardiac protection service possible.