Heartbeat Classification Using Feature Selection Driven by Database Generalization Criteria
By Mariano Llamedo, Juan Pablo Martínez. IEEE Transactions on Biomedical Engineering, 2011
404 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/1bc418612d3ef545d23461a23a71db2cd19d6982
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
- B. V. Vijaya Kumar
- Xiaoqing Luo
- Jun Dong
- Kup-Sze Thomas Choi
- Can Ye
- Zhancheng Zhang
- Xiaojun Wu
- Miguel Tavares Coimbra
In Cognitive Neuroscience
- B. V. Vijaya Kumar
- Xiaoqing Luo
- Jun Dong
- Kup-Sze Thomas Choi
- Can Ye
- Zhancheng Zhang
- Xiaojun Wu
- Miguel Tavares Coimbra
In Pulmonary and Respiratory Medicine
- B. V. Vijaya Kumar
- Xiaoqing Luo
- Jun Dong
- Kup-Sze Thomas Choi
- Can Ye
- Zhancheng Zhang
- Xiaojun Wu
- Miguel Tavares Coimbra
Citations in the corpus
- Heartbeat classification using disease-specific feature selection (2014, methodology): “Although vectorcardiogram (VCG) based features [7,18] can provide comprehensive information about heart conditions, reconstruction of VCG requires more leads and thus the applicability of these features is rather limited.”
- Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals (2012, methodology): “As discussed in Section II-B, the same database division is adopted as in the literature [8], [15], [17], i.”