The use of the Hilbert transform in ECG signal analysis

By D. Benítez, P. Gaydecki, A. Zaidi, A. Fitzpatrick. Comput. Biol. Medicine, 2001

521 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

QRS complexes detection for ECG signal: The Difference Operation Method (2008, background): “As we know, to achieve their goals, all the above methods [3–13] require some complicated mathematical calculation.”
Analysis of First-Derivative Based QRS Detection Algorithms (2008, methodology): “Specifically, the square-transformed signal is subjected to a moving 1024-point window and compared to a variable thresholding rule similar to that presented previously for the Hilbert transform-based algorithm [ 24 ].”
An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals (2012, methodology): “In contrast, algorithms with only a few parameters are in general restricted for use in specific applications such as the detection of R-peaks in electroencephalography (ECG) signals [1,7,8,10,12,14–17, 20–”