Comput. Biol. Med. - Real-time electrocardiogram P-QRS-T detection-delineation algorithm based on quality-supported analysis of characteristic templates.

Tópicos

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Resumo

The main objective of this study is to introduce a simple, low-latency, and accurate algorithm for real-time detection of P-QRS-T waves in the electrocardiogram (ECG) signal. In the proposed method, real-time signal preprocessing, which includes high frequency noise filtering and baseline wander reduction, is performed by applying discrete wavelet transform (DWT). A method based on signal first-order derivative and adaptive threshold adjustment is employed for real-time detection of the QRS complex. Moreover, detection and delineation of P- and T-waves are achieved by correlation analysis conducted between signal and their templates. Besides, signal quality is investigated online, and if the quality of the analysis window is unacceptable, then the algorithm will guess (estimate) the locations of P- and T-waves. The operating characteristics of the proposed algorithm are evaluated by its implementation to an artificially generated ECG signal whose quality is adjustable from the best (Quality, 100%) to the worst (Quality, =40%) cases based on the random-walk noise theory. The algorithm was applied to the MIT-BIH arrhythmia database, QT database, and Physionet/CinC challenge 2011competition database. The obtained results, which were based on the QT database, showed sensitivity and positive predictivity of Se=99.63% and P+=99.83%, Se=99.83% and P+=99.98%, and Se=99.74% and P+=99.89% for the detection of P-, QRS-, and T-waves, respectively, and the obtained results, which were based on the MIT-BIH arrhythmia database, showed Se=99.81% and P+=99.70% for the detection of the QRS complex. Moreover, it will be shown that the results of the proposed method are reliable for a minimum signal quality value of 70%. According to numerical assessments, 8-ms after the occurrence of R-wave, its location will be identified by the computer code of the proposed algorithm. This parameter is 198-ms and 177-ms for P- and T-waves, respectively.

Resumo Limpo

main object studi introduc simpl lowlat accur algorithm realtim detect pqrst wave electrocardiogram ecg signal propos method realtim signal preprocess includ high frequenc nois filter baselin wander reduct perform appli discret wavelet transform dwt method base signal firstord deriv adapt threshold adjust employ realtim detect qrs complex moreov detect delin p twave achiev correl analysi conduct signal templat besid signal qualiti investig onlin qualiti analysi window unaccept algorithm will guess estim locat p twave oper characterist propos algorithm evalu implement artifici generat ecg signal whose qualiti adjust best qualiti worst qualiti case base randomwalk nois theori algorithm appli mitbih arrhythmia databas qt databas physionetcinc challeng competit databas obtain result base qt databas show sensit posit predict se p se p se p detect p qrs twave respect obtain result base mitbih arrhythmia databas show se p detect qrs complex moreov will shown result propos method reliabl minimum signal qualiti valu accord numer assess ms occurr rwave locat will identifi comput code propos algorithm paramet ms ms p twave respect

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