Advancing cardiovascular healthcare
Muhammad Sher Zaman (40810)
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intelligent approach to arrhythmia detection from ECG signals using machine and deep learinig algorithms - Islamabad (unpublished) 2024 - 65 p. : ill.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
English
Biomedical Engineering--Premature ventricular contractions--Abnormal impluse --Atrial fibrillation --Morphological--BME--FEAS
610.28 / SHE
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intelligent approach to arrhythmia detection from ECG signals using machine and deep learinig algorithms - Islamabad (unpublished) 2024 - 65 p. : ill.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
English
Biomedical Engineering--Premature ventricular contractions--Abnormal impluse --Atrial fibrillation --Morphological--BME--FEAS
610.28 / SHE