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A study on wearable electrocardiograph

机译:穿戴式心电图仪的研究

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摘要

The emergence of wearable devices based on advances in MEMS and low-energy technologies makes low-cost sustained physiological monitoring possible and brings health care into a new territory. But until now, most wearable devices for physiological monitoring do not have FDA approval and the measured data may have some level of noise. In this work, to understand the feasibility of applying wearable electrocardiograph for heart activity monitoring during jogging, we propose a jogging monitoring system based on wearable devices and provide some experimental results. First, the proposed jogging monitoring system is sketched. Next, the traditional ECG tests and the fundamental ECG morphology are introduced. And then, a QRS detection algorithm is introduced and implemented to process ECG data. Last, we collect ECG data by a wearable device in jogging, and some MLII lead ECG records from the MIT-BIH database are selected for comparison. The accuracy of the implemented QRS detection algorithm against both data sets is provided.
机译:基于MEMS和低能耗技术的进步的可穿戴设备的出现使低成本的持续生理监测成为可能,并将医疗保健带入了新的领域。但是直到现在,大多数用于生理监测的可穿戴设备尚未获得FDA的批准,并且测量数据可能会产生一定程度的噪声。在这项工作中,为了了解在慢跑过程中将可穿戴式心电图仪用于心脏活动监测的可行性,我们提出了一种基于可穿戴设备的慢跑监测系统,并提供了一些实验结果。首先,勾画出所提议的慢跑监控系统。接下来,介绍传统的ECG测试和基本的ECG形态。然后,引入并实现了QRS检测算法来处理ECG数据。最后,我们通过可穿戴设备在慢跑中收集ECG数据,并从MIT-BIH数据库中选择了MLII主ECG记录进行比较。提供了针对两个数据集的已实施QRS检测算法的准确性。

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