Robust arrhythmia classifier using wavelet transform and support vector machine classification

• Main Authors: Chia, Nyoke Goon, Hau, Yuan Wen, Jamaludin, Mohd. Najeb
• Format: Conference or Workshop Item
• Published: 2017
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/97277/; http://dx.doi.org/10.1109/CSPA.2017.8064959
• Institution: Universiti Teknologi Malaysia

The Electrocardiogram (ECG) is the most widely used signal in clinical practice for the assessment of cardiac condition. This paper presents a robust arrhythmia classifier based on the combination of wavelet transform and timing features, as well as support vector machine classification technique. T...