01123nam a22002057a 4500952013300000999001700133040003600150082001600186100003200202245014900234260003500383300003900418500017600457500004100633500003900674502005500713546001200768650013000780942000700910  00104071aRIUbRIUd2025-08-06eRiphah International Universityl0o610.28 SHEp102927r2025-08-06 00:00:00t1w2025-08-06yTH  c57790d57790  cRiphah International University  a610.28bSHE  aMuhammad Sher Zaman (40810)  aAdvancing cardiovascular healthcareban intelligent approach to arrhythmia detection from ECG signals using machine and deep learinig algorithms  aIslamabadb(unpublished)c2024  a65 p.b: ill. Col. c; 30 cm.e+CD  aSubmitted 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.  aIncludes bibliographical references.  aThesis supervisor: Dr. Faraz Akram  aThesis (MS)--Riphah International University, 2024  aEnglish  aBiomedical EngineeringvPremature ventricular contractionsvAbnormal impluse vAtrial fibrillation vMorphologicalvBMEvFEAS  cTH