A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques

Authors

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India

School of Electronics Engineering, VIT-AP University, Inavolu, Amaravati, India

School of Electronics Engineering, VIT-AP University, Inavolu, Amaravati, India

School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, India

Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India

Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, Kraków, Poland

Department of Computer Science, Cracow University of Technology, Kraków, Poland

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland