Koulouris A, Papakonstantinou G, Tsanakas P
Digital Systems & Computers Laboratory, Computer Science Division, Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece.
Comput Biomed Res. 2000 Aug;33(4):227-44. doi: 10.1006/cbmr.2000.1544.
Multichannel algorithms have been developed for more accurate analysis of electrocardiograms (ECGs). Their benefit is the ability to use the information contained in all simultaneously acquired channels. In this paper we present a multichannel version of a nonsyntactic algorithm, based on length transformation. The proposed algorithm uses a decentralized schema for combining the results derived from each individual lead, instead of a global/centralized one (a spatial vector approach). Its performance was evaluated using the CSE database and real ECGs acquired by a 12-lead cardiograph. The results are also compared with previous-single-channel and multichannel-versions of the algorithm, showing a better performance. Since a multichannel algorithm is always a time-consuming task, it is rarely used in real-time monitoring systems. Motivated by this observation, we designed a parallel implementation of the proposed algorithm and tested its ability to be used in such systems.
已经开发出多通道算法用于更准确地分析心电图（ECG）。其优势在于能够利用所有同时采集通道中包含的信息。在本文中，我们提出了一种基于长度变换的非句法算法的多通道版本。所提出的算法使用分散式架构来组合从每个单独导联得出的结果，而不是全局/集中式架构（空间向量方法）。使用CSE数据库和由12导联心电图仪采集的实际心电图对其性能进行了评估。结果还与该算法以前的单通道和多通道版本进行了比较，显示出更好的性能。由于多通道算法始终是一项耗时的任务，因此很少用于实时监测系统。基于这一观察结果，我们设计了所提出算法的并行实现，并测试了其在这类系统中使用的能力。
