Emission Modelling for Supervised ECG Segmentation using Finite Differences (2009)
B. Frénay, G. De Lannoy, M. Verleysen
Abstract — The segmentation of ECG signals into P waves, QRS complexes, T waves and baselines is an important practical problem for physicians diagnosing cardiac diseases. The duration of the...
Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models (2009)
G. De Lannoy, B. Frenay, M. Verleysen, J. Delbeke
Abstract — Clinical monitoring and pharmaceutical phaseone studies require feature extraction from the ECG signal in order to evaluate the state of a patient’s heart. Automatic annotation of the...
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...
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...
Filtering Heart Related Activity from Vagus Nerve Recordings in Rats (2009)
G. De Lannoy, J. Marin, M. Verleysen, J. Delbeke
Vagus nerve stimulation has become a recognized form of treatment for several conditions such as refractory epilepsy and depression. However, its exact mechanism of interference with these...
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...