Background: Electrocardiographic (ECG) fusion with intrinsic QRS could reduce the benefit of atrial synchronous biventricular pacing (AS-BiVP) in patients with hypertrophic obstructive cardiomyopathy (HOCM).
Objectives: The purpose of this study was to assess the benefit of AS-BiVP and the influence of ECG fusion for reduction of left ventricular outflow tract gradient (LVOTG) in these patients.
Methods: Twenty-one symptomatic HOCM patients with severe LVOTG were included. Twelve patients were evaluated retrospectively for the prevalence of fusion and its influence on outcomes after AS-BiVP. Eleven patients (2 of the first population were also evaluated retrospectively) were prospectively included to evaluate the benefit of performing atrioventricular node ablation (AVNA) to achieve full ventricular capture if fusion was present during AS-BiVP.
Results: Seven of the first 12 patients (58%) had ECG fusion. After 54 ± 24 months of AS-BiVP, the presence of fusion was associated with lower values for reduction of resting, dynamic LVOTG and New York Heart Association (NYHA) class. In the prospectively evaluated patients, after 12 months of follow-up, resting LVOTG decreased from 98 ± 39 to 39 ± 24 mm Hg (P = .008); dynamic LVOTG decreased from 112 ± 38 to 60 ± 24 mm Hg (P = .013); NYHA class decreased from 2.8 ± 0.4 to 1.7 ± 0.6 (P = .014); endurance time during constant work rate cycling exercise (80% of peak oxygen consumption) increased from 399 ± 148 to 691 ± 249 seconds (P = .046); quality of life improved from 46 ± 22 to 22 ± 20 points (P = .02); and brain natriuretic peptide levels decreased from 318 ± 238 to 152 ± 118 pg/mL (P = .09). Eight of the 11 prospectively evaluated patients (73%) needed AVNA, which further decreased LVOTG from 108 ± 40 mm Hg at baseline to 89 ± 29 mm Hg after BiVP to 54 ± 22 mm Hg after AVNA (P = .003).
Conclusion: As-BiVP that ensures no ECG fusion, by means of AVNA when needed, appears to be the optimal pacing mode in HOCM patients.
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http://dx.doi.org/10.1016/j.hrthm.2015.01.032 | DOI Listing |
Comput Methods Programs Biomed
December 2024
College of Biomedical Engineering, Sichuan University, Chengdu, 610065, Sichuan, China. Electronic address:
Background And Objective: Obstructive Sleep Apnea (OSA) is among the most sleep-related breathing disorders, capable of causing severe neurological and cardiovascular complications if left untreated. The conventional diagnosis of OSA relies on polysomnography, which involves multiple electrodes and expert supervision. A promising alternative is single-channel Electrocardiogram (ECG) based diagnosis due to its simplicity and relevance.
View Article and Find Full Text PDFFront Public Health
December 2024
Informatization Center, Changchun Sci-Tech University, Changchun, China.
Introduction: An increasing prevalence of psychological stress and emotional issues among higher education teachers necessitates innovative approaches to promote their wellbeing. Emotion recognition technology, integrated into educational human-computer interaction (HCI) systems, offers a promising solution. This study aimed to develop a robust emotion recognition system to enhance teacher-student interactions within educational HCI settings.
View Article and Find Full Text PDFJ Electrocardiol
November 2024
Division of Cardiovascular Medicine, The University of Iowa, Iowa City, IA, United States of America.
Comput Biol Med
January 2025
Laboratory of Electrical Engineering and Smart Systems, ENSET, Hassan II University of Casablanca, BP 159 Bd Hassan II, Mohammedia, 28800, Morocco. Electronic address:
This paper introduces a new advanced model for denoising and classification of ECG signals, focusing on the use of a hybrid filter and Bayesian optimization. The hybrid filter synergistically combines enhanced empirical mode decomposition (EEMD), Chebyshev Type II filters, Butterworth, Daubechies Wavelet, and Savitzky-Golay filters, leveraging their respective advantages for effective noise reduction while preserving the essential features of the ECG signal. We employ a multi-criteria Bayesian optimization process, using cross-correlation and mean squared error (MSE) as key metrics, to refine the filter parameters to further improve the signal quality.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.
: Obstructive sleep apnea is a sleep disorder that is linked to many health complications and can even be lethal in its severe form. Overnight polysomnography is the gold standard for diagnosing apnea, which is expensive, time-consuming, and requires manual analysis by a sleep expert. Artificial intelligence (AI)-embedded wearable device as a portable and less intrusive monitoring system is a highly desired alternative to polysomnography.
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