基于智能服装的老年人心电图监测研究

Yu-Han Wang, C. Chung, Chung-Chi Lin, Chih-Ming Lin
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引用次数: 8

摘要

老龄化社会对医疗保健系统的要求越来越高。研究表明,心血管疾病是老年人最常见和最具威胁性的疾病。此外,最近越来越多的老人独居。因此,居家养老的整体解决方案引领潮流。在这项研究中,我们开发了智能衣服来记录3导联心电图(ECG)。我们的系统包括:(1)带有四个电极的导电纤维衣服,用于采集生理信号;(2)一个网关,用于将原始数据数字化、处理并上传到服务器;(3)服务服务器,用于分析数据并制作健康概况。该系统已应用于老年人社区评估绩效。实验结果表明,心电数据的平均准确率为86.82%。35名志愿者(65岁左右,男15名,女20名)认为智能服装比传统医疗器械舒适、易用。
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The Study of the Electrocardiography Monitoring for the Elderly Based on Smart Clothes
Aging society leads more demands on health care system. Study shows that cardiovascular diseases are the most common and threatening diseases to the elderly. Moreover, more and more elderly live alone recently. Therefore, a total solution for elderly homecare leads the way. In this study, we develop smart clothes to record 3 lead electrocardiography (ECG). Our system consists of (1) the conductive fiber clothes with four electrodes to acquire physiological signals, (2) a gateway to digitize, process and upload raw data to the server, and (3) the service server to analyze data and make a health profile. The system had been applied to the elderly community to evaluate performance. The experiment results show the average accuracy of ECG data is 86.82%. Thirty-five volunteers (age > 65, 15 male and 20 female) feel the smart clothes comfortable and easy to use than the traditional medical device.
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