A comparative approach to ECG feature extraction methods

• Main Authors: Vaneghi, F.M., Oladazimi, M., Shiman, F., Kordi, A., Safari, M.J., Ibrahim, F.
• Format: Conference or Workshop Item
• Language: English
• Published: 2012
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9269/1/A_comparative_approach_to_ECG_feature_extraction_methods.pdf; http://eprints.um.edu.my/9269/; http://www.scopus.com/inward/record.url?eid=2-s2.0-84859984319&partnerID=40&md5=82f9ec2d1916e0b8b12535a751edbee1 ieeexplore.ieee.org/xpls/absall.jsp?arnumber=6169708

This paper discusses six most frequent methods used to extract different features in Electrocardiograph (ECG) signals namely Autoregressive (AR), Wavelet Transform (WT), Eigenvector, Fast Fourier Transform (FFT), Linear Prediction (LP), and Independent Component Analysis (ICA). The study reveals tha...