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GPU-based parallel electrocardiogram signal analysis method, computer readable storage medium and device

机译:基于gpu的并行心电信号分析方法,计算机可读存储介质和装置

摘要

The present disclosure provides a GPU-based parallel electrocardiogram signal analysis method, comprising: performing a filtering process of electrocardiogram signals through a long interval artifact removal and a short interval artifact removal; performing a QRS detection of the filtering-processed electrocardiogram signals through an R-wave position extraction, a QRS complex start and end positions extraction and a QRS complex width extraction; performing an abnormal waveform classification of the QRS-detected electrocardiogram signals through template creation; wherein at least one of the long interval artifact removal, the short interval artifact removal, the R-wave position extraction, the QRS complex width extraction and the creation template is performed by a multiple threads at a GPU device side in parallel, any thread being read through its unique index number to process corresponding data. By executing one or more steps of the electrocardiogram signal analysis at GPU in parallel, the present disclosure increases the analysis speed of the electrocardiogram signals.
机译:本发明提供了一种基于GPU的并行心电信号分析方法,包括:通过长间隔伪影去除和短间隔伪影去除对心电信号进行滤波处理;通过R波位置提取,QRS复数开始和结束位置提取以及QRS复数宽度提取,对滤波后的心电信号进行QRS检测。通过模板创建对QRS检测到的心电图信号进行异常波形分类;其中,长间隔伪影去除,短间隔伪影去除,R波位置提取,QRS复数宽度提取和创建模板中的至少一个是由GPU设备侧的多个线程并行执行的,任何线程都是读取其唯一索引号以处理相应的数据。通过在GPU处并行执行心电信号分析的一个或多个步骤,本公开提高了心电信号的分析速度。

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