首页> 外文会议>International Conference on Smart Homes and Health Telematics(ICOST 2007); 20070621-23; Nara(JP) >Ventricular Tachycardia/Fibrillation Detection Algorithm for 24/7 Personal Wireless Heart Monitoring
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Ventricular Tachycardia/Fibrillation Detection Algorithm for 24/7 Personal Wireless Heart Monitoring

机译:用于24/7个人无线心脏监护的心动过速/心律失常检测算法

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This paper describes a Ventricular Tachycardia/Fibrillation (VT/VF) detection algorithm that is specifically designed for a 24/7 personal wireless heart monitoring system. This monitoring system uses Bluetooth enabled biosensors and smart phones to monitor continuously cardiac patients' vital signs. Our VT/VF algorithm is optimized for continuous real-time monitoring on smart phones with a high sensitivity and specificity. We studied and compared existing VT/VF algorithms and selected the one which suited best our requirements. However, we modified and improved the existing algorithm for the smart phone to achieve better performance results. We tested the algorithm on full-length signals from the physionet CU, MIT-db and MIT-vfdb databases [16] without any pre-selection of VT/VF or normal QRS-complex signals. We achieved 97% sensitivity, 98% accuracy and 98% specificity for our implementation which is excellent compared to existing algorithms.
机译:本文介绍了一种专门针对24/7个人无线心脏监护系统设计的室性心动过速/心律失常(VT / VF)检测算法。该监控系统使用支持蓝牙的生物传感器和智能手机连续监控心脏病患者的生命体征。我们的VT / VF算法经过优化,可对智能手机进行连续的实时监控,具有很高的灵敏度和特异性。我们研究并比较了现有的VT / VF算法,并选择了最适合我们要求的算法。但是,我们修改和改进了智能手机的现有算法,以实现更好的性能结果。我们在未预先选择VT / VF或正常QRS复杂信号的情况下,对来自physionet CU,MIT-db和MIT-vfdb数据库[16]的全长信号测试了该算法。对于我们的实现,我们实现了97%的灵敏度,98%的准确性和98%的特异性,这与现有算法相比非常出色。

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