References
- R. Lozano, M. Naghavi, K. Foreman, S. Lim, K. Shibuya, V. Aboyans, J. Abraham, T. Adair, R. Aggarwal, S. Y. Ahn, et al., "Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010", The Lancet, Vol. 380, No. 9859, pp. 2095-2128, 2013. https://doi.org/10.1016/S0140-6736(12)61728-0
- M. Mitra and R. K Samanta, "Cardiac Arrhythmia Classification Using Neural Networks with Selected Features: first international conference on Computational Intelligence: Modeling Techniques and Applications (CIMTA)", pp. 76-84, 2013.
- T. Habte, T. Saleh, H. Mohammad, B, & Ismail, M., "Ultra Low Power ECG Processing System for IoT Devices: Analog Circuits and Signal Processing", pp. 1-14, 2019.
- T. E. Taha, A. E. Sayed, and S. Rafat, "A survey on Classification of ECG Signal Study", Vol. 6, No. 5, pp. 11-16, 2016.
- C. V. Maggio, A., Bonomini, M., Laciar, E., and Arini, P., "Quantification of Ventricular Repolarization Dispersion Using Digital Processing of the Surface ECG" , 2012.
- M. Aqil,A. Jbari, and A. Bourouhou, "ECG signal denoising by Discrete Wavelet Transform", Vol. 13, No. 09, pp. 51-68, 2017. https://doi.org/10.3991/ijoe.v13i09.7159
- https://blog.octo.com/en/time-series-features-extraction-usingfourier-and-wavelet-transforms-on-ecg-data/, (retrieved on Nov. 23, 2019).
- Bultheel Bull. Belg. B. Yu, M. Vetterli, "Chapter 4. Data Processing and Analysis, Math Wavelet Transform" IEEE Pub., pp. 35-42, 1995.
- M. Sanaullah, "A review of higher order statistics and spectra in communication systems", Vol. 13, No. 4, pp. 31-50, 2013.
- https://towardsdatascience.com/a-one-stop-shop-for-principal-component-analysis-5582fb7e0a9c(retrieved on Apr 18, 2017).
- E. D. Ubeyli, "Combining recurrent neural networks with eigenvector methods for classification of ECG beats. Digital Signal Processing", Vol. 19, Issue 2, pp. 320-329, 2009. https://doi.org/10.1016/j.dsp.2008.09.002
- J. Park, K. Lee, K. Kang, "Arrhythmia detection from heartbeat using the k-nearest neighbor classifier." IEEE International Conference on Bioinformatics and Biomedicine, pp 15-22 (2013).
- S. Kiranyaz, T. Ince, M. Gabbouj, "Real-time patient-specific ECG classification by 1-D convolutional neural networks", IEEE Transactions on Biomedical Engineering, Vol. 63, No. 3, pp.664-675, 2016. https://doi.org/10.1109/TBME.2015.2468589
- T. J. Jun, H. M. Nguyen, D. Kang, D. Kim, D. Kim, and Y.H. Kim, "ECG arrhythmia classification using a 2-D convolutional neural network", 18 Apr 2018.
- S. Savalia and V. Emamian, "Cardiac Classification by Multi-Layer Perceptron and Convolutional Neural Networks", Vol. 5, No. 35, pp. 1-12, 2018. https://doi.org/10.3934/bioeng.2018.1.1
- A. Das, P. Pradhapan, W. Groenendaal, P. Adiraju, R. T. Rajan, F. Catthoor, S. Schaafsma, J.L, Krichmar, N.Dutt, and C. Van Hoot, "Unsupervised heart-rate estimation in wearable with liquid states and a probabilistic readout", Neural Networks. Vol.99, pp.134-147, 2018. https://doi.org/10.1016/j.neunet.2017.12.015
- A. Amirshahi and M. Hashemi, "Ultra Low-Power and Real-time ECG classification Based on STDP and R-STDP Neural networks for Wearable Devices", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), Vol. 13, Issue. 6, pp. 1483-1493, 2019. https://doi.org/10.1109/tbcas.2019.2948920
- K. Guo, J. Yu, Y. Wang, and H. Yang, "A survey of FPGA Based Neural Network Accelerator", ACM Transactions on Reconfigurable Technology and Systems, Vol. 9, No. 4, Article 11, Dec 2017.
- C. V. Nguyen, T. Le Quang, T. N. Vu, H. Le Thi, K. N. Van, T. H. Trong, K. Ishibashi, "A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation.", Informatics in Medicine Unlocked, Vol.16, pp. 1-9, 2019.