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LifeShirt® Acquisition System to Monitor ECG from Ambulatory Swine and the Implementation of an Arrhythmia Detection Algorithm

机译:LifeShirt®采集系统用于监测非卧床猪的心电图和心律失常检测算法的实现

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摘要

A wearable cardiopulmonary monitoring system, a LifeShirt®, was used to acquire continuous electrocardiograms (ECGs) from ambulatory swine. The animals received intracoronary injections of autologous mesenchymal stem cells, and the LifeShirt® was used for long-duration ECG monitoring in pre-defined periods post cell infusion. The system used here was developed for measurements from non-human primates and canines; however, we demonstrated that it could be used to non-invasively measure ECGs from swine without creating undue stress or restricting movement. A MATLAB-based analysis algorithm was developed to automatically detect premature ventricular contractions (PVCs) that arose 8–10 hours after cell delivery with spontaneous resolution 2–3 days post-infusion. Template based cross-correlation was used to detect the PVCs and identify regions of consecutive ventricular rhythm. The final algorithm was highly specific and sensitive when tested on records from the MIT-BIH arrhythmia database. The algorithm was subsequently used to automatically identify and quantify PVCs from over 200 hours of ECG data obtained from nine ambulatory swine.
机译:一种可穿戴的心肺监护系统LifeShirt ®用于从活动性猪身上获取连续心电图(ECG)。这些动物接受了自体间充质干细胞的冠状动脉内注射,并且LifeShirt ®在细胞输注后的预定时间内用于长期ECG监测。这里使用的系统是为测量非人类灵长类动物和犬类而开发的。但是,我们证明了它可以用于无创地测量猪的ECG,而不会产生过度的压力或限制运动。开发了一种基于MATLAB的分析算法,可自动检测在细胞递送后8–10小时出现的室性早搏(PVC),并在输注后2–3天自动解决。基于模板的互相关用于检测PVC,并确定连续的心室节律区域。当对MIT-BIH心律失常数据库中的记录进行测试时,最终算法具有高度的特异性和敏感性。该算法随后被用来从200多个小时的9种门诊猪ECG数据中自动识别和定量PVC。

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