A. De Decker

A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs ⋆ (2009)

G. De Lannoy, A. De Decker, M. Verleysen

Abstract. The wavelet transform is a widely used pre-filtering step for subsequent R spike detection by thresholding of the coefficients. The time-frequency decomposition is indeed a powerful tool to...

A SUPERVISED LEARNING APPROACH BASED ON THE CONTINUOUS WAVELET TRANSFORM FOR R SPIKE DETECTION IN ECG (2009)

G. De Lannoy, A. De Decker, M. Verleysen

Continuous wavelet transform, automatic ECG annotation, R spike detection, supervised learning. One of the most important tasks in automatic annotation of the ECG is the detection of the R spike. The...

A SUPERVISED LEARNING APPROACH BASED ON THE CONTINUOUS WAVELET TRANSFORM FOR R SPIKE DETECTION IN ECG (2009)

G. De Lannoy, A. De Decker, M. Verleysen

Abstract: One of the most important tasks in automatic annotation of the ECG is the detection of the R spike. The wavelet transform is a widely used tool for R spike detection. The time-frequency...

Functional SOM for variable-length signal windows (2009)

A. De Decker, G. De Lannoy, M. Verleysen

Abstract — Functional data are often sampled at high frequency which leads to high-dimensional vectors. The curse of dimensionality makes this type of signal difficult to handle with standard data...