Improving ECG Beats Delineation With an Evolutionary Optimization Process

Dumont, Guy A.; Hernández, Alfredo; Carrault, Guy

doi:10.1109/tbme.2008.2002157

Cited by 80 publications

(44 citation statements)

References 23 publications

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“…From the ECG recordings of each patient, RR-interval and R-peak amplitude series were identified by a noiserobust wavelet-based algorithm for QRS complex detection and subsequent R-peak location [11]. A cubic splines interpolation was then applied to these signals in order to obtain uniformly sampled data at a rate of 4 Hz.…”

Section: 2mentioning

confidence: 99%

Time-frequency Analysis of the Autonomic Response to Head-up Tilt Testing in Brugada Syndrome

Calvo¹,

Rolle²,

Romero³

et al. 2017

Computing in Cardiology Conference (CinC)

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Cardiac events in Brugada syndrome (BS) usually occur at rest and mainly at nighttime, commonly relating changes in autonomic modulation to arrhythmogenesis. A major challenge today is to differentiate symptomatic and asymptomatic patients in order to optimize their therapy. Since autonomic assessment can be improved by the application of standard maneuveurs, this study analyzes and compares the autonomic response to head-up tilt (HUT) testing on 20 symptomatic and 45 asymptomatic BS patients. Their standard 12-lead ECG recordings were collected during a HUT test composed of the following three phases: (1) supine rest for 10 minutes, (2) tilting with an inclination of 60• for 45 minutes and (3) supine rest for 10 minutes. Spectral non-stationary heart rate variability indicators were extracted by means of a Smoothed Pseudo Wigner Ville distribution approach that adapts frequency bands to respiratory information. Symptomatic patients showed an increased parasympathetic tone and a reduced sympathovagal balance with respect to asymptomatic patients during tilting, and particularly before the 15 th minute of the test. The results provide new insights into the autonomic function in BS, with a potential impact on the use of timereduced HUT testing for risk stratification.

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Section: 2mentioning

confidence: 99%

Time-frequency Analysis of the Autonomic Response to Head-up Tilt Testing in Brugada Syndrome

Calvo¹,

Rolle²,

Romero³

et al. 2017

Computing in Cardiology Conference (CinC)

View full text Add to dashboard Cite

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“…Data processing R-waves were detected off-line from the EGM using a custom algorithm, with parameters adapted to the sheep [10]. RR intervals were visually examined and arrhythmic events were removed.…”

Section: 3mentioning

confidence: 99%

Analysis of Endocardial Micro:Accelerometry during Valsalva Maneuvers

Gallet

Rolle

Bonnet

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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The endocardial acceleration (EA) signal is a particular kind of cardiac mechanogram, acquired through a microaccelerometer, embedded at the tip of a cardiac pacing lead, that can be chronically implanted inside a cardiac chamber. In this work, we analyze the evolution of the main EA-derived markers during severe cardio-respiratory modifications. Intracardiac electrograms (EGM), intraventricular pressure and EA data were acquired from 6 sheep during a set of Valsalva-like maneuvers. These data have been processed to segment the main EA components during each Valsalva phase, in a beat-to-beat basis. Results confirm the correlation between the energy of the EA1 component and the dP/dtmax. Significant modifications are observed in the main components of the EA signal during and just after the maneuver. These modifications may be useful for the characterization of respiratory events from the analysis of intracardiac EA signals.

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“…This included automatic QRS detection and subsequent visual inspection, baseline drift attenuation via cubic spline interpolation, 4-th order Butterworth low pass filtering at 45 Hz to remove muscular noise and wave delineation using an evolutionary optimization approach [3].…”

Section: Calculation Of Ecg Parametersmentioning

confidence: 99%

Assessment of the Dynamic Response of Cardiac Depolarization During Stress Test Recovery Evaluated in Patients with Brugada Syndrome

Romero

Béhar²,

Rolle

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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Brugada syndrome is a genetic disease that may cause sudden cardiac death in patients with structurally normal heart. This study aims to assess dynamic response of cardiac depolarization to physical exercise, and particularlly, during recovery phase. Several ECG depolarization features were studied including the R and S waves amplitude (Ra and Sa), the up-stroke and down-stroke of the R and S waves (S U , S D and S S ) and their respective angles (α R and α S ). Standard 12-lead ECG recordings were acquired during physical exercise test in 23 Brugada patients (11 symptomatic). By using a three-constant S-shaped function, we assessed the dynamics of the ECG markers by modeling their response during the recovery period. Brugada syndrome patients who were asymptomatic presented higher change values and faster change speed than symptomatic patients in several evaluated markers, especially in left precordial leads. On the other hand, symptomatic patients presented larger lag values as compared with asymptomatic patients. We concluded that dynamics of depolarization features, assessed during periods of increased parasympathetic tone, seems to be linked with the presence of symptoms in Brugada patients. IntroductionBrugada syndrome (BrS) is a genetic pathology, firstly described more than 20 years ago, and associated with a high risk of sudden cardiac death (SCD) in patients with an apparently normal structural heart. The coved type-1 ECG pattern (ST elevation ≥ 2mm, negative symmetric T wave) in ≥ 1 lead of the precordial leads V1-V3 is the main electrophysiological diagnostic marker in BrS [1].The major challenges today regarding the management of BrS patients are related to risk stratification and the definition of the best treatment approach. The implantation of a cardioverter defibrillator (ICD) is the only validated treatment, recommended for symptomatic patients who have experienced syncope, ventricular fibrillation or an aborted SCD. However, therapeutic strategies are more complex on asymptomatic patients, representing about 60% of BrS patients. The difficulty is thus to identify asymptomatic patients that may benefit from an ICD implantation.Depolarization disorders have been one of the two main hypotheses underlying the pathophysiology of BrS, associated with slowing conduction within the right ventricular outflow tract (RVOT) [2]. Moreover, the role of the autonomic modulation seems to have an important component in this pathology. In this study, we investigate the cardiac depolarization response to exercise in BrS. A set classical and more refined features extracted from the ECG within the depolarization phase are analyzed, in order to assess potential differences between symptomatic and asymptomatic BrS patients. Both the original ECG features and their heart rate corrected versions were analyzed for this purpose.

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Improving ECG Beats Delineation With an Evolutionary Optimization Process

Cited by 80 publications

References 23 publications

Time-frequency Analysis of the Autonomic Response to Head-up Tilt Testing in Brugada Syndrome

Time-frequency Analysis of the Autonomic Response to Head-up Tilt Testing in Brugada Syndrome

Analysis of Endocardial Micro:Accelerometry during Valsalva Maneuvers

Assessment of the Dynamic Response of Cardiac Depolarization During Stress Test Recovery Evaluated in Patients with Brugada Syndrome

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