Abstract
AbstractWith the alarming rise in deaths due to cardiovascular diseases (CVD), the present medical research scenario emphasizes techniques and methods to detect CVDs. As the world health organization adduced, technological proceeds in cardiac function assessment have become the nucleus and heart of all leading research studies on CVDs. Electrocardiogram (ECG) analysis is the most functional and convenient tool used to test the range of heart-related irregularities. Most of the approaches present in the literature on ECG signal analysis consider noise removal, rhythm-based analysis, and heartbeat detection to improve the performance of a cardiac pacemaker. Advancements in ECG segment detection and beat classification have a limited evaluation and still require clinical approvals. This chapter discusses approaches and techniques to implement an on-chip ECG detector for a cardiac pacemaker system. Moreover, different challenges regarding the ECG signal morphology analysis deriving from the medical literature are extensively reviewed.KeywordsCardiovascular diseasesElectrocardiogramCardiac pacemakerECG signalQRS-complexECG databases
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