信号(编程语言)
小波
频率分析
烧蚀
时频分析
计算机科学
频域
信号处理
可视化
振幅
生物医学工程
转化(遗传学)
材料科学
低频
频率响应
鉴定(生物学)
小波变换
傅里叶分析
导管消融
声学
电压
重点(电信)
失真(音乐)
高频超声
电子工程
模式识别(心理学)
作者
O K Kamel,Mohamed Abdelazem,Sherien Samy Awad,M. K. Sharief,Ahmed Ammar
标识
DOI:10.3389/fcvm.2026.1787169
摘要
Differentiating near-field (NF) from far-field (FF) electrograms (EGMs) is essential for accurate mapping and ablation of cardiac arrhythmias. With the advent of high density mapping systems, this distinction has traditionally relied on bipolar voltage analysis and activation mapping, while the evaluation of signal frequency has remained largely underexplored. Recently, a novel algorithm called peak frequency (PF) has been introduced as a complementary tool to conventional mapping strategies. By applying Wavelet transformation (WT), PF enables objective quantification of signal frequency, accurate identification of FF electrograms, and visualization of high frequency components on electro-anatomical maps. This review examines the role of peak frequency in mapping and ablation, spanning from fundamental signal analysis to clinical applications.
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