多域12导联心电信号相关分析

Q4 Engineering
Antonia Juskova, Ondrej Kovac, Jozef Kromka, Jan Saliga
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引用次数: 0

摘要

本文致力于12导联心电图信号的相关分析,这对于了解多导联心功能至关重要。通过QRS检测实现精确的同步,方便了信号在时间和离散正交变换(DOT)域的比较。然而,噪声、肌肉干扰和其他信号失真对QRS检测的准确性提出了挑战。基于多导联心电图的统计参数,提出了一种改进的Pan-Tomkin检测器来调整QRS检测的方法。这确保了所有引线的QRS检测数量一致,从而实现同步的相关性分析。对Lobachewsky大学心电数据库进行了相关性分析,分别在离散余弦变换和离散小波变换的时间域和稀疏域进行了评价。该研究旨在揭示多个领域中的先导关系及其稀疏性,从而为压缩技术的使用铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 12-Lead ECG signal correlation analysis in multiple domains
This paper is devoted to correlation analysis of 12-lead electrocardiogram (ECG) signals, crucial for understanding cardiac function from multiple leads. Accurate synchronization via QRS detection facilitates the comparison of signals in time and discrete orthogonal transformation (DOT) domains. However, noise, muscle interference, and other signal distortions challenge QRS detection accuracy. We propose an enhanced method for Pan-Tomkin's detector, based on the statistical parameters of multi-lead ECG, to adjust QRS detections. This ensures a uniform number of QRS detections across all leads, resulting in synchronized correlation analysis. Correlation analysis, conducted on the Lobachewsky University ECG database, is evaluated in the time and sparse domains of discrete cosine transform and discrete wavelet transform. The study aims to reveal lead relationships in multiple domains, and their sparsity which can pave the way for usage of compression techniques.
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来源期刊
Measurement Sensors
Measurement Sensors Engineering-Industrial and Manufacturing Engineering
CiteScore
3.10
自引率
0.00%
发文量
184
审稿时长
56 days
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