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Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters., , and . Neural Comput. Appl., 32 (20): 15869-15884 (2020)Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries., , , , , , , , and . Expert Syst. J. Knowl. Eng., (2022)Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach., , , , , , , , , and 2 other author(s). Pattern Recognit. Lett., (2020)Automated detection of shockable ECG signals: A review., , , , , , , , , and 5 other author(s). Inf. Sci., (2021)Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review., , , , , , and . Inf. Sci., (2018)A deep convolutional neural network model to classify heartbeats., , , , , , and . Comput. Biol. Medicine, (2017)Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM., , , , and . Comput. Biol. Medicine, (2020)A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank., , and . Comput. Biol. Medicine, (2018)Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database., , , , , , , , , and . Biomed. Signal Process. Control., 79 (Part): 104055 (2023)Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images., , , , , , , , , and 4 other author(s). Comput. Methods Programs Biomed., (2022)