Publisher
Springer Nature Singapore
Reference24 articles.
1. Srivastava R, Kumar B, Alenezi F, Alhudhaif A, Althubiti SA, Polat K (2022 Mar) Automatic arrhythmia detection based on the probabilistic neural network with FPGA implementation. Math Probl Eng 22:2022
2. Mathunjwa BM, Lin YT, Lin CH, Abbod MF, Sadrawi M, Shieh JS (2022) ECG recurrence plot-based arrhythmia classification using two-dimensional deep residual CNN features. Sensors 22(4):1660
3. Gupta V, Saxena NK, Kanungo A, Gupta A, Kumar P (2022) A review of different ECG classification/detection techniques for improved medical applications. Int J Syst Assur Eng Manag 4:1–5
4. Pandey SK, Janghel RR (2021) Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long short-term memory network classifier. Phys Eng Sci Med 44(1):1 73–82
5. Mohapatra SK, Mohanty MN (2021) ECG analysis: a brief review. Recent Adv Comput Sci Commun (Formerly: Recent Patents on Computer Science). 1;14(2):344–59