Key result
The high speed QRS detection method (Hamilton and Tompkins) achieved 100% sensitivity and positive predictivity with zero data error rate and an average time error of 9.13ms, demonstrating better performance than differentiation-based methods.
Why the study?
Fast and efficient QRS detection algorithms are an essential prerequisite for analyzing heart-related disease.
The Hamilton and Tompkins high-speed QRS detection algorithm provides highly accurate and robust QRS detection compared to simple differentiation methods, making it suitable for heart rate monitoring.
Supports Hamilton-Tompkins for accurate QRS detection in monitoring; extends technical benchmarks but leaves open prospective clinical validation.
Fast and efficient QRS detection algorithm is a essential prerequisite for analyzing disease related to heart. A study and analysis of first differentiation based QRS detection method, first and second differentiation based QRS detection method and High speed QRS detection method (Hamilton and Tompkins) was done. Algorithms based on differentiation method of QRS detection are efficient as far as computation is concerned. This method can be used for real time analysis of large dataset. On a standard dataset first differentiation method has highest detection accuracy but also the largest time error (Average time error is 12.05ms). For the first and second differentiation based QRS detection method sensitivity and positive predictivity are 96.4 and 97.7, data error rate is 4.64 and Average Time error is 7.26ms.For the third method sensitivity and positive predictivity is 100 percent and data error rate is zero. Average time error is 9.13ms and is having better performance as compared to differentiation based methods.
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Imteyaz Ahmad (2020) studied Heart rate monitoring / QRS detection. High speed QRS detection method (Hamilton and Tompkins) vs. First differentiation and first/second differentiation methods was evaluated on Sensitivity, positive predictivity, data error rate, and average time error. The high speed QRS detection method (Hamilton and Tompkins) achieved 100% sensitivity and positive predictivity with zero data error rate and an average time error of 9.13ms, demonstrating better performance than differentiation-based methods.
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