Pier Paolo Bassareo^1,2,3,*, Aurelio Secinaro⁴, Paolo Ciliberti⁵, Massimo Chessa^6,7, Marco Alfonso Perrone^5,8, Kevin Patrick Walsh^1,2,3, Colin Joseph Mcmahon^2,3

Congenital Heart Disease, Vol.18, No.6, pp. 595-610, 2023, DOI:10.32604/chd.2023.046229

Abstract Background: Congenital absence of pericardium (CAP), also known as pericardial agenesis, represents an uncommon cardiac abnormality and mostly incidental finding. It can be subdivided into complete and partial (left or right-sided) forms. Because of its infrequency, just case reports and a few case series have been released so far. This paper represents the largest systematic review in the field. Nine features (age at diagnosis, type, gender, clinical presentation, electrocardiography, imaging (ultrasounds, CT/MRI), concomitant cardiac defects, and outcome) were analysed. Methods: The electronic database PubMed was investigated from its establishment up to July 15^th, 2023. Just case reports and case series… More >

V. R. Vimal^1,*, P. Anandan², N. Kumaratharan³

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 31-43, 2022, DOI:10.32604/iasc.2022.017622

Abstract

Electrocardiogram (ECG) monitoring models are commonly employed for diagnosing heart diseases. Since ECG signals are normally acquired for a longer time duration with high resolution, there is a need to compress the ECG signals for transmission and storage. So, a novel compression technique is essential in transmitting the signals to the telemedicine center to monitor and analyse the data. In addition, the protection of ECG signals poses a challenging issue, which encryption techniques can resolve. The existing Encryption-Then-Compression (ETC) models for multimedia data fail to properly maintain the trade-off between compression performance and signal quality. In this view, this study… More >

Amjad Gawanmeh^1,3,∗, Usman Pervez², Osman Hasan^2,3

Computer Systems Science and Engineering, Vol.33, No.1, pp. 21-29, 2018, DOI:10.32604/csse.2018.33.021

Abstract Electrocardiography (ECG) is a heart signal wave that is recorded using medical sensors, which are normally attached to the human body by the heart. ECG waves have repetitive patterns that can be efficiently used in the diagnosis of heart problems as they carry several characteristics of heart operation. Traditionally, the analysis of ECG waves is done using informal techniques, like simulation, which is in-exhaustive and thus the analysis results may lead to ambiguities and life threatening scenarios in extreme cases. In order to overcome such problems, we propose to analyze ECG heart signals using probabilistic model checking, which is a… More >

Jim T. Vehmeijer¹, Zeliha Koyak¹, A. Suzanne Vink¹, Werner Budts^2,3, Louise Harris⁴, Candice K. Silversides⁴, Erwin N. Oechslin⁴, Aeilko H. Zwinderman⁵, Barbara J.M. Mulder^1,6, Joris R. de Groot¹

Congenital Heart Disease, Vol.14, No.6, pp. 952-957, 2019, DOI:10.1111/chd.12847

Abstract Objective: Adult congenital heart disease (ACHD) patients are at risk of sudden cardiac death (SCD). However, methods for risk stratification are not yet well‐ defined. The T_peak‐T_end (TpTe) interval, a measure of dispersion of ventricular repolari‐ zation, is a risk factor for SCD in non‐ACHD patients. We aim to evaluate whether TpTe can be used in risk stratification for SCD in ACHD patients.
Design: From an international multicenter cohort of 25 790 ACHD patients, we iden‐ tified all SCD cases. Cases were matched to controls by age, gender, congenital de‐ fect, and (surgical) intervention.
Outcome Measures: TpTe was measured on… More >