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A wearable real-time telemonitoring electrocardiogram device compared with traditional Holter monitoring 被引量:3

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摘要 Arrhythmias are very common in the healthy populations as well as patients with cardiovascular diseases.Among them,atrial fibrillation(AF)and malignant ventricular arrhythmias are usually associated with some clinical events.Early diagnosis of arrhythmias,particularly AF and ventricular arrhythmias,is very important for the treatment and prognosis of patients.Holter is a gold standard commonly recommended for noninvasive detection of paroxysmal arrhythmia.However,it has some shortcomings such as fixed detection timings,delayed report and inability of remote real-time detection.To deal with such problems,we designed and applied a new wearable 72-hour triple-lead H3-electrocardiogram(ECG)device with a remote cloud-based ECG platform and an expertsupporting system.In this study,31 patients were recruited and 24-hour synchronous ECG data by H3-ECG and Holter were recorded.In the H3-ECG group,ECG signals were transmitted using remote real-time modes,and confirmed reports were made by doctors in the remote expert-supporting system,while the traditional modes and detection systems were used in the Holter group.The results showed no significant differences between the two groups in 24-hour total heart rate(HR),averaged HR,maximum HR,minimum HR,premature atrial complexes(PACs)and premature ventricular complexes(PVCs)(P>0.05).The sensitivity and specificity of capture and remote automatic cardiac events detection of PACs,PVCs,and AF by H3-ECG were 93%and 99%,98%and 99%,94%and 98%,respectively.Therefore,the long-term limb triple-lead H3-ECG device can be utilized for domiciliary ECG self-monitoring and remote management of patients with common arrhythmia under medical supervision.
出处 《The Journal of Biomedical Research》 CAS CSCD 2021年第3期238-246,共9页 生物医学研究杂志(英文版)
基金 This research was funded by the Key Research and Development Plan of Jiangsu Province under grant BE2017735.Q.S.conceived the study and wrote the manuscript.Q.S.,C.C.,H.G. X.W.collected,analyzed,and interpreted the data.H.G.and X.W.contributed substantially to the development of ECG signal conversion Matlab software and remote automatic detection algorithm.J.L.,M.C.and C.L.revised the manuscript,evaluated and supervised the study.
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