The AccYouRate Modified Pan-Tompkins (AMPT) algorithm improved computational efficiency by 5-20× and enhanced correctness relative to the standard Pan-Tompkins algorithm for real-time QRS detection.
Does the AMPT algorithm improve computational efficiency and correctness compared to the Pan-Tompkins algorithm for QRS detection?
The AMPT algorithm provides a computationally efficient and accurate method for real-time QRS detection suitable for mobile platforms.
Effect estimate: 5-20× improvement in computational efficiency
Recent advancements in smart, wearable technologies have allowed the detection of various medical conditions. In particular, continuous collection and real-time analysis of electrocardiogram data have enabled the early identification of pathologic cardiac rhythms. Various algorithms to assess cardiac rhythms have been developed, but these utilize excessive computational power. Therefore, adoption to mobile platforms requires more computationally efficient algorithms that do not sacrifice correctness. This study presents a modified QRS detection algorithm, the AccYouRate Modified Pan-Tompkins (AMPT), which is a simplified version of the well-established Pan-Tompkins algorithm. Using archived ECG data from a variety of publicly available datasets, relative to the Pan-Tompkins, the AMPT algorithm demonstrated improved computational efficiency by 5-20×, while also universally enhancing correctness, both of which favor translation to a mobile platform for continuous, real-time QRS detection.
Neri et al. (Thu,) conducted a other in Pathologic cardiac rhythms. AccYouRate Modified Pan-Tompkins (AMPT) algorithm vs. Pan-Tompkins algorithm was evaluated on Computational efficiency and correctness (5-20× improvement in computational efficiency). The AccYouRate Modified Pan-Tompkins (AMPT) algorithm improved computational efficiency by 5-20× and enhanced correctness relative to the standard Pan-Tompkins algorithm for real-time QRS detection.