Key result
A review of existing QRS-detection methods using the MIT-BIH arrhythmia database revealed that 71% of the methods used an incorrect number of beats due to the inclusion of non-beat annotations.
Why the study?
There is no standard number of beats used across research evaluating the MIT-BIH arrhythmia database, leading to disparate beat numbers based on differing interpretations of annotation files.
Standardizing the number of beats in the MIT-BIH arrhythmia database to 109,494 using a dedicated filtering function corrects the widespread error (71% of methods) of including non-beat annotations in QRS-detection algorithm evaluations.
Answers are grounded in this paper and cite their sources.
QRS-detection evaluations on MIT-BIH require re-assessment; leaves open reliable performance comparisons and standardized protocols.
The ECG signal processing methods are tested and evaluated based on many databases. The most ECG database used for many researchers is the MIT-BIH arrhythmia database. The QRS-detection algorithms are essential for ECG analyses to detect the beats for the ECG signal. There is no standard number of beats for this database that are used from numerous researches. Different beat numbers are calculated for the researchers depending on the difference in understanding the annotation file. In this paper, the beat numbers for existing methods are studied and compared to find the correct beat number that should be used. We propose a simple function to standardize the beats number for any ECG PhysioNet database to improve the waveform database toolbox (WFDB) for the MATLAB program. This function is based on the annotation's description from the databases and can be added to the Toolbox. The function is removed the non-beats annotation without any errors. The results show a high percentage of 71% from the reviewed methods used an incorrect number of beats for this database.
No takes yet. Share an insight, caveat, or question.
Khalaf et al. (2021) conducted a review in Arrhythmia (n=47). Heartbeats filter function vs. Existing QRS-detection methods was evaluated on Proportion of reviewed methods using an incorrect number of beats. A review of existing QRS-detection methods using the MIT-BIH arrhythmia database revealed that 71% of the methods used an incorrect number of beats due to the inclusion of non-beat annotations.
Synapse has enriched 10 related papers. Consider them for comparative context: