References
[1]. Akilandeswari, K., & Sathya, R. (2014). Feature
extraction of ECG signals for early detection of heart
arrhythmia. International Journal of Advanced Research in
Computer and Communication Engineering, 3(12), 8711-
8713.
[2]. Alfaouri, M., & Daqrouq, K. (2008). ECG signal
denoising by wavelet transform thresholding. American
Journal of Applied Sciences, 5(3), 276-281.
[3]. Das, A., Behera, S., & Panda, T. K. (2013). Identification
of Tachycardia and Bradycardia Heart Disorders using
Wavelet Transform based QRS Detection. International
Journal of Image Processing and Vision Sciences, 2(1), 84-
89.
[4]. Dewangan, N. K., & Shukla, S. P. (2015). A survey on
ECG signal feature extraction and analysis techniques.
International Journal of Innovative Research in Electrical,
Electronics, Instrumentation and Control Engineering, 3(6).
[5]. Emanet, N. (2009, September). ECG beat
classification by using discrete wavelet transform and
Random Forest algorithm. In Soft Computing, Computing
with Words and Perceptions in System Analysis, Decision
and Control, 2009. ICSCCW 2009. Fifth International
Conference on (pp. 1-4). IEEE.
[6]. Gajendra, E., & Kumar, J. (2015). A Novel Approach of
ECG Classification for Diagnosis of Heart Diseases: Review.
International Journal of Advanced Research in Computer
Engineering & Technology (IJARCET), 4(11), 4096-4100.
[7]. Gandham, S., & Bhuma, A. (2017). Feature Extraction
and analysis of ECG signals for detection of heart
arrhythmias. International Journal of Modern Electronics
and Communication Engineering (IJMECE), 5(3).
[8]. Mahmoodabadi, S. Z., Ahmadian, A., & Abolhasani,
M. D. (2005, September). ECG feature extraction using
Daubechies wavelets. In Proceedings of the Fifth IASTED
International Conference on Visualization, Imaging and
Image Processing (pp. 343-348).
[9]. Manikandan, M. S., & Soman, K. P. (2012). A novel
method for detecting R-peaks in electrocardiogram (ECG)
signal. Biomedical Signal Processing and Control, 7(2),
118-128.
[10]. Mannurmath, J. C., & Raveendra, M. (2014). MATLAB
Based ECG Signal Classification. International Journal of
Science, Engineering and Technology Research (IJSETR),
3(7), 1946-1950.
[11]. MIT-BIH Arrhythmia database. In Physionet.org.
Retrieved from http://www.physionet.org/physiobank
/database/mitdb
[12]. MIT-BIH Supraventricular Arrhythmia database. In
Physionet.org. Retrieved from http://www.physionet.org/
physiobank/database/svdb
[13]. Mohamed, M. A., & Deriche, M. A. (2014). An
approach for ECG feature extraction using daubechies 4
(DB4) wavelet. International Journal of Computer
Applications, 96(12), 36-41.
[14]. Mukhopadhyay, S., Biswas, S., Roy, A. B., & Dey, N.
(2012). Wavelet based QRS complex detection of ECG
signal. arXiv preprint arXiv:1209.1563.
[15]. Patel, A. M., Gakare, P. K., & Cheeran, A. N. (2012).
Real time ECG feature extraction and arrhythmia detection
on a mobile platform. Int. J. Comput. Appl, 44(23), 40-45.
[16]. Peterkova, A, & Stremy, M. (2015). The raw ECG signal
processing and the detection of QRS complex. 2015 IEEE
European Modeling Symposium, (pp. 80-85). IEEE.
[17]. Rahman, M., & Nasor, M. (2012). An Algorithm for
Detection of Arrhythmia. International Journal of Biological
Engineering, 2(5), 44-47.
[18]. Sahay, S., Wadhwani, A. K., & Wadhwani, S. (2015). A
Survey Approach on ECG Feature Extraction Techniques.
International Journal of Computer Applications, 120(11),
1-4.
[19]. Saritha, C., Sukanya, V., & Murthy, Y. N. (2008). ECG
signal analysis using wavelet transforms. Bulg. J. Phys, 35(1),
68-77.
[20]. Sörnmo, L., & Laguna, P. (2006). Electrocardiogram
(ECG) signal processing. Wiley Encyclopedia of
Biomedical Engineering.
[21]. Umer, M., Bhatti, B. A., Tariq, M. H., Zia-ul-Hassan, M.,
Khan, M. Y., & Zaidi, T. (2014). Electrocardiogram Feature
Extraction and Pattern Recognition Using a Novel
Windowing Algorithm. Advances in Bioscience and
Biotechnology, 5(11), 886.