Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals

• Main Authors: Elhaj, Fatin A., Salim, Naomie, Harris, Arief R., Swee, Tan Tian, Ahmed, Taquia
• Format: Article
• Published: 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/68875/; https://doi.org/10.1016/j.cmpb.2015.12.024
• Institution: Universiti Teknologi Malaysia

Arrhythmia is a cardiac condition caused by abnormal electrical activity of the heart, and an electrocardiogram (ECG) is the non-invasive method used to detect arrhythmias or heart abnormalities. Due to the presence of noise, the non-stationary nature of the ECG signal (i.e. the changing morphology...