KJSET Volume. 3, Issue 1 (2024)

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Contributor(s)

Ogenyi Fabian Chukwudi, Arinaitwe Henry, Bagheni Zubairi & Mohammed Dahiru Buhari1
 

Keywords

Electrocardiogram (ECG) Signals Signal Processing Techniques Noise Removal Baseline Correction Feature Extraction Arrhythmia Detection and Heart Rate Variability (HRV) Analysis.
 

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A review of signal processing techniques for electrocardiogram (ECG) signals

Abstract: The accurate diagnosis of cardiovascular conditions relies heavily on Electrocardiogram (ECG) signals, yet persistent interference challenges, including baseline wander, powerline interference, and muscle artifacts, compromise clinical accuracy. This study comprehensively explores cutting-edge preprocessing techniques aimed at addressing multifaceted challenges in ECG signal processing. Investigating noise removal, baseline correction, feature extraction, arrhythmia detection, and heart rate variability (HRV) analysis, we synthesize insights from recent research to provide a thorough understanding of current state-of-the-art methodologies. Each facet plays a crucial role in enhancing the reliability of ECG signals for accurate cardiovascular diagnoses. In a landscape where clinical accuracy is paramount, this review critically assesses advancements in signal processing techniques, shedding light on innovative strategies and potential breakthroughs.
 
 
 

KIU Journal of Science, Engineering and Technology (KJSET) -- ISSN: 2958-0641, 2025 | All Articles