Advancing cardiovascular healthcare an intelligent approach to arrhythmia detection from ECG signals using machine and deep learinig algorithms
- Islamabad (unpublished) 2024
- 65 p. : ill. Col. ; 30 cm. +CD
Submitted in the partial fulfillment of the requirements for the degree of Master of Sciences in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references. Thesis supervisor: Dr. Faraz Akram
Thesis (MS)--Riphah International University, 2024