ECG beat classifier designed by combined neural network model

By Inan Güler, Elif Derya Übeyli. Pattern Recognition, 2005

381 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/12ca1c2b0b809f16c9c435e950de9870e005cf4f

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. M. Zhou
2. Taiyong Li
3. Eduardo José da S. Luz
4. Guillermo Cámara Chávez
5. David Menotti
6. William Robson Schwartz

In Cognitive Neuroscience

1. M. Zhou
2. Taiyong Li
3. Eduardo José da S. Luz
4. Guillermo Cámara Chávez
5. David Menotti
6. William Robson Schwartz

In Signal Processing

1. M. Zhou
2. Eduardo José da S. Luz
3. Guillermo Cámara Chávez
4. David Menotti
5. William Robson Schwartz

Citations in the corpus

• ECG-based heartbeat classification for arrhythmia detection: A survey (2016, methodology): “Güler and Übeyli [44] used combined neural networks in order to obtain a more generic method from a more sophisticated form of cross-validation.”
• ECG Classification Using Wavelet Packet Entropy and Random Forests (2016, background): “Some other researchers investigated the performance of fuzzy NN [28] and combined NN [29] on ECG classification [2].”