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首页> 外文期刊>International Journal of Technology >Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno
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Development of the ‘Healthcor’ System as a Cardiac Disorders Symptoms Detector using an Expert System based on Arduino Uno

机译：使用基于Arduino Uno的专家系统开发“ Healthcor”系统，作为心脏疾病症状检测器

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In the modern era, our lifestyles are very fast-moving; this makes us highly susceptible to diseases, especially those associated with heart problems. In this research, we developed a portable early detection system for cardiac disorders. This system consists of passive electrodes, named SHIELD-EKG-EMG-PA; a shield which allows Arduino-like boards to capture electrocardiography (ECG) and electromyography (EMG) signals, named SHIELD-EKG-EMG, both devices produced by Olimex; a microcontroller, based on Arduino Uno; and an expert system which is implemented by a personal computer. This system detects time intervals of various segments in ECG signals which are captured by the devices; it then analyzes the signals in order to determine whether the patient has cardiac disorders. We call our detecting system the HEALTHCOR system. A database was established, containing various possible values of parameters in ECG signals. The types of diseases that can be detected are heart rhythm disorders including sinus bradycardia, sinus tachycardia, sinus arrhythmia, and cardiac symptoms associated with intervals and the wave height, such as myocardial infarction. From our tests, the accuracy of our system is 96%. The resultant diagnoses of four patients are all appropriate, and used a commercial 12-lead electrocardiograph.
机译：在现代时代，我们的生活方式日新月异。这使我们极易感染疾病，尤其是与心脏病有关的疾病。在这项研究中，我们开发了一种用于心脏病的便携式早期检测系统。该系统由名为SHIELD-EKG-EMG-PA的无源电极组成;一个屏蔽罩，允许类似Arduino的板卡捕获由Olimex生产的两种设备，称为SHIELD-EKG-EMG，用于捕获心电图（ECG）和肌电图（EMG）信号。基于Arduino Uno的微控制器;以及由个人计算机实现的专家系统。该系统检测设备捕获的ECG信号中各个段的时间间隔;然后分析信号以确定患者是否患有心脏疾病。我们将检测系统称为HEALTHCOR系统。建立了一个数据库，其中包含ECG信号中各种可能的参数值。可以检测到的疾病类型是心律失常，包括窦性心动过缓，窦性心动过速，窦性心律不齐以及与间隔和波高相关的心脏症状，例如心肌梗塞。根据我们的测试，我们系统的准确性为96％。对四名患者进行的最终诊断均合适，并使用了商用的12导联心电图仪。

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