Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan City 33305, Taiwan.
Sensors (Basel). 2017 Mar 29;17(4):711. doi: 10.3390/s17040711.
Use of information and communication technology such as smart phone, smart watch, smart glass and portable health monitoring devices for healthcare services has made Mobile Health (mHealth) an emerging research area. Coronary Heart Disease (CHD) is considered as a leading cause of death world wide and an increasing number of people die prematurely due to CHD. Under such circumstances, there is a growing demand for a reliable cardiac monitoring system to catch the intermittent abnormalities and detect critical cardiac behaviors which lead to sudden death. Use of mobile devices to collect Electrocardiography (ECG), Seismocardiography (SCG) data and efficient analysis of those data can monitor a patient's cardiac activities for early warning. This paper presents a novel cardiac data acquisition method and combined analysis of Electrocardiography (ECG) and multi channel Seismocardiography (SCG) data. An early warning system is implemented to monitor the cardiac activities of a person and accuracy assessment of the early warning system is conducted for the ECG data only. The assessment shows 88% accuracy and effectiveness of our proposed analysis, which implies the viability and applicability of the proposed early warning system.
使用智能手机、智能手表、智能眼镜和便携式健康监测设备等信息和通信技术为医疗保健服务提供了移动健康(mHealth)这一新兴研究领域。冠心病(CHD)被认为是全球范围内主要的死亡原因,越来越多的人因 CHD 而过早死亡。在这种情况下,人们对可靠的心脏监测系统的需求越来越大,以便捕捉间歇性异常并检测导致猝死的关键心脏行为。使用移动设备来收集心电图(ECG)、心震图(SCG)数据,并对这些数据进行有效的分析,可以监测患者的心脏活动以发出预警。本文提出了一种新颖的心电数据采集方法,并结合了心电图(ECG)和多通道心震图(SCG)数据的综合分析。实现了一个预警系统来监测一个人的心脏活动,并仅对 ECG 数据进行预警系统的准确性评估。评估结果显示,我们提出的分析方法的准确率为 88%,有效性为 88%,这表明了所提出的预警系统的可行性和适用性。