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Novel smart clothing with dry electrode biosensor for real-time automatic diagnosis of cardiovascular diseases

机译:具有干电极生物传感器的新型智能服装,用于实时自动诊断心血管疾病

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The incidence of heart disease increases with age. The typical method of monitoring arrhythmia is to use a body patch type sensor with a wet electrode. Even though this sensor is easy to use, it has several disadvantages such as problems caused by wet electrodes in tissues when they are monitored for long periods. Thus, a monitoring sensor integrated into clothes with a dry electrode is proposed. In this study, we developed a smart outdoor shirt equipped with a dry electrode electrocardiogram (ECG) sensor for a cardiac arrhythmia computer-aided diagnosis system. The sensor can be inserted in a console close to the chest, charged, used to communicate wirelessly, and can be connected to a smartphone application. According to experiments, the ECG signals measured by the smart shirt indicated that 97.5 ± 1% of the signals could be measured in an immobile state and at least 85.2 ± 2% of the signals could be measured during movement. In addition, we propose a computer-aided diagnosis system for detecting cardiac arrhythmia. It was determined through experiments that the system can detect arrhythmia with an accuracy of 98.2 ± 2%.
机译:心脏病的发生率随着年龄的增长而增加。监测心律失常的典型方法是使用具有湿电极的体贴片型传感器。即使该传感器易于使用,它也具有几个缺点,例如由长时间监测组织中的湿电极引起的问题。因此,提出了将监测传感器集成到具有干电极的衣服中。在这项研究中,我们开发了一种配备有干电极心电图(ECG)传感器的智能户外衬衫,用于心脏心律失常计算机辅助诊断系统。传感器可以插入靠近胸部的控制台中,充电,用于无线通信,可以连接到智能手机应用程序。根据实验,智能衬衫测量的ECG信号表明,可以在固定状态下测量97.5±1%的信号,并且在运动期间可以测量至少85.2±2%的信号。此外,我们提出了一种用于检测心律失常的计算机辅助诊断系统。通过实验确定,系统可以检测精度为98.2±2%的心律失常。

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