ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

By Roshan Joy Martis, Usha R. Acharya, Choo Min Lim. Biomedical Signal Processing and Control, 2013

709 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/bc7c024628873acab2fe5725d6d8f5af7338da3d

How researchers see this paper

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

In Cardiology and Cardiovascular Medicine

1. Naomie Binti Salim
2. Arief R. Harris
3. Tan Tian Swee
4. Taqwa Ahmed
5. Fatin A. Elhaj

In Cognitive Neuroscience

1. Naomie Binti Salim
2. Arief R. Harris
3. Tan Tian Swee
4. Taqwa Ahmed
5. Fatin A. Elhaj

In Signal Processing

1. Naomie Binti Salim

Citations in the corpus

• Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals (2016, methodology): “Segmentation After detection of the QRS complex, 99 samples were chosen from the left side of the QRS mid-point and 100 samples after QRS mid-point and the QRS midpoint itself as a segment or beat of 200 samples(Martis et al., 2013c).”