فهرست نشریات علمی دسترسی آزاد ایران

Authors: Department of electrical and biomedical engineering, semnan zad university, Semnan, Iran. Extended Abstract Background and Objectives: Electrocardiography (ECG/ EKG) is a foundational diagnostic tool in modern cardiology, capable of capturing the heart's electrical activity with millisecond precision. However, comprehensive resources that span from cellular electrophysiology to advanced signal processing and clinical applications remain limited. This study aims to systematically bridge that gap. naV, mated tation, sition ee- I ECG, ographic Methods: A multidisciplinary approach was employed, beginning with a review of the biophysical principles underlying cardiac action potentials and the mechanisms of signal detection via surface electrodes. The engineering of fifth-generation ECG systems was analyzed, including the development of low-noise preamplifiers, adaptive filtering, and Al-driven arrhythmia detection algorithms. Additionally, an algorithmic framework was introduced for interpreting 12-lead ECs based on clinical meta-analyses. ding nail i.daraie 138 com Results: The interpretation algorithm accurately identified QRS complex characteristics, electrical axis, and acute myocardial ischemia, achieving a sensitivity of 98.77% across datasets cited in recent 2024 meta-analyses.