Robust, Noise Immune Hidden Atrial Electrical Activity Signal Detection
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Cardiac arrhythmia diagnosis can be determined by using ECG analysis method. In determining the diseases of heart Features like the regularity and atrial activity must be considered. Heart function determining AEA-waves are hidden in other waves by using quick separation procedure separating of AEA-waves from ECG signals is difficult. By using “semiautomatic” method the AEA-waves can be detected by using linear combination of 12-lead ECG signals. For detection of hidden AEA-waves we are using Maximum energy ratio and a synthetic AEA signal variation which are processed by semiautomatic method. By advancing Semiautomatic method, by using the gradient ascent method the ratio-based cost function is created and maximized. The linear combiner method is the later variation when applied on a synthetic signal, combined with surface ECG leads.
Authors and Affiliations
Syed Mohammad Imran Ali, Syed Noorullah, P. Bharath Kumar, C. Raghavendra Reddy
Keywords
Related Articles
- EP ID EP23609
- DOI http://doi.org/10.22214/ijraset.2017.3149
- Views 348
- Downloads 8
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