Cite
A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.
MLA
Madan, Parul, et al. “A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.” Bioengineering (Basel), vol. 9, no. 4, Apr. 2022, p. 152. EBSCOhost, https://doi.org/10.3390/bioengineering9040152.
APA
Madan, P., Singh, V., Singh, D. P., Diwakar, M., Pant, B., & Kishor, A. (2022). A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification. Bioengineering (Basel), 9(4), 152. https://doi.org/10.3390/bioengineering9040152
Chicago
Madan, Parul, Vijay Singh, Devesh Pratap Singh, Manoj Diwakar, Bhaskar Pant, and Avadh Kishor. 2022. “A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.” Bioengineering (Basel) 9 (4): 152. doi:10.3390/bioengineering9040152.