A new method for the simultaneous automatic measurement of the RR and QT intervals in ambulatory ECG recordings

Ferretti, Gino Fabrizio; ̈re, Liane MozÃÂ; Zayat, M.; Mazzara, D.; Rimatori, C; Pupita, Giuseppe; Mannello, B.; Russo, P. Dello

doi:10.1109/cic.1992.269419

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Para melhorar a exatidão e precisão da detecção do ponto Te, nos últimos vinte anos vários métodos e algoritmos têm sido propostos baseados em intersecção de linhas [12], limiar na primeira derivada da onda T [5], cálculo de: distancias [13], ângulos [14] e áreas [15]; correlação com um padrão [16], uso de: modelos matemáticos [17] e a transformada wavelet [18], dentre outros. De todos eles, os mais reportados nos últimos cinco anos são os algoritmos baseados na transformada wavelet, os quais continuam usando os critérios de limiar nas diferentes escalas da wavelet, o qual aumenta sua sensibilidade ao ruído.…”

Section: Qt(1)unclassified

Two solutions for the processing of ambulatory electrocardiogram

Seisdedos¹,

Neto²,

León³

et al. 2015

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)

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The Electrocardiogram (ECG) ambulatory monitoring has three stages: acquisition, processing and analysis, in each one, the information on ECG signal itself or the time series extracted from it are affected by noises, interferences and artifacts. T he analysis of the duration and variability of heart intervals establishes rules for the selection of valid beats and to determine with accuracy the fiducially points, especially the T wave end. This paper describes two problems and their solutions involved in the processing stage. First, a method is described to identify the valid beats for heart rate variability analysis, and then another one is presented for the determination of T wave end point, based on the calculation of trapezes areas. The validation of both methods exhibits excellent performance indexes in comparison with other approaches.

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Section: Qt(1)unclassified

Two solutions for the processing of ambulatory electrocardiogram

Seisdedos¹,

Neto²,

León³

et al. 2015

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)

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show abstract

“…Various methods have been proposed for detection of Tend point based on: intersection of lines [ 5 ], threshold on the amplitude of T wave [ 6 ], threshold on the first derivative of ECG signal [ 7 ], computation of: distances [ 8 ], angles [ 9 ] and areas [ 10 ], correlation with a template [ 11 ], mathematical models of ECG [ 12 ], and wavelet transform [ 13 ], among others methods. All have some advantages and some drawbacks in relation to complexity, computational cost, waveforms morphological variations, noise sensitivity and Tend dependence on threshold.…”

Section: Introductionmentioning

confidence: 99%

New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions

et al. 2011

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BackgroundThe detection of T-wave end points on electrocardiogram (ECG) is a basic procedure for ECG processing and analysis. Several methods have been proposed and tested, featuring high accuracy and percentages of correct detection. Nevertheless, their performance in noisy conditions remains an open problem.MethodsA new approach and algorithm for T-wave end location based on the computation of Trapezium's areas is proposed and validated (in terms of accuracy and repeatability), using signals from the Physionet QT Database. The performance of the proposed algorithm in noisy conditions has been tested and compared with one of the most used approaches for estimating the T-wave end point: the method based on the threshold on the first derivative.ResultsThe results indicated that the proposed approach based on Trapezium's areas outperformed the baseline method with respect to accuracy and repeatability. Also, the proposed method is more robust to wideband noise.ConclusionsThe trapezium-based approach has a good performance in noisy conditions and does not rely on any empirical threshold. It is very adequate for use in scenarios where the levels of broadband noise are significant.

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“…En este sentido, en [Porta y col., 1998a] se concluye que el RTm obtenido mediante interpolación parabólica es más robusto frente a ruido blanco que el RTe obtenido por otros dos métodos diferentes. c.2) Final de la onda T (Te) Para estimar el final de la onda T se han usado, entre otros, los siguientes métodos: transición hacia una zona plana del al menos 40 ms en una ventana dependiente del RR [Algra, Brun y Zeelenberg, 1987], umbral dependiente de la amplitud del punto Tm sobre la señal original [Meij y col., 1994], umbral dependiente de la máxima o mínima pendiente sobre la señal derivada [Laguna y col., 1990], intersección de pendientes [Lepeschkin y Surawics, 1952;Ferreti y col., 1992], correlación con un patrón [Berger, 1997], métodos basados en ondículas [Li, Zheng y Tai, 1995] y métodos geométricos diversos, como por ejemplo, el cálculo de la longitud de curva [Gritzali, Frangakis y Papakonstantinou, 1989].…”

Section: Detección De Puntos Característicos Sobre La Onda Tunclassified

Análisis del ECG en monitorización ambulatoria para el diagnóstico cardíaco y la predicción de muerte cardíaca súbita

Vázquez Seisdedos

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La muerte cardíaca súbita (SCD) es uno de los desafíos más importantes de la cardiología moderna debido al elevado número de personas que fallecen repentinamente sin presentar síntomas previos. Una de las principales causas de la SCD es el infarto de miocardio(IM) pues se estima que el 75 % de las personas que fallecen súbitamente tienen un IM antiguo. El análisis del ECG superficial puede ayudar a prevenir la SCD porque la isquemia miocárdica, que suele preceder al IM, conlleva cambios en la amplitud, morfología y duración de los potenciales de acción de los miocitos cardíacos, y esto provoca inestabilidad eléctrica en dichas células. En esta tesis se analiza la variabilidad temporal de los intervalos RTm (pico de R a pico de T) y RTe (pico de R a final de T) en condiciones ambulatorias como posibles marcadores de dicha inestabilidad.

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A new method for the simultaneous automatic measurement of the RR and QT intervals in ambulatory ECG recordings

Cited by 9 publications

References 5 publications

Two solutions for the processing of ambulatory electrocardiogram

Two solutions for the processing of ambulatory electrocardiogram

New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions

Análisis del ECG en monitorización ambulatoria para el diagnóstico cardíaco y la predicción de muerte cardíaca súbita

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