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Analysis of institutional authors

Jiménez-Serrano, SantiagoCorresponding AuthorMillet, JoséAuthorCastells, FranciscoAuthor

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December 15, 2024
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New ECG biomarkers and sex-stratified models for the detection of Arrhythmogenic Cardiomyopathy with left ventricular involvement

Publicated to: Biomedical Signal Processing and Control. 101 107224- - 2025-03-01 101(), DOI: 10.1016/j.bspc.2024.107224

Authors:

Jiménez-Serrano, S; Sanz-Sánchez, J; Gilabert, YV; Millet, J; Zorio, E; Castells, F
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Affiliations

Ctr Biomed Network Res Cardiovasc Dis, CIBERCV, Madrid, Spain - Author
Hosp Univ & Politecn La Fe Valencia, Cardiol Dept, Inherited Cardiac Dis Unit, Valencia, Spain - Author
Hosp Univ Politecn La Fe, Valencia, Spain - Author
Inst Invest Sanitaria La Fe Valencia, CAFAMUSME Res Grp, Valencia, Spain - Author
Univ Politecn Valencia, Ctr Mixto CSIC, Inst Instrumentac Imagen Mol I3M, Camino Vera S-N, Valencia 46022, Spain - Author
Univ Politecn Valencia, EP Analyt LAb, Inst ITACA, Camino Vera S-N, Valencia 46022, Spain - Author
Univ Valencia, Elect Engn Dept, IDAL, ETSE UV, Avinguda Univ S-N, Burjassot 46100, Valencia, Spain - Author
Univ Valencia, Fac Med & Dent, Dept Med, Valencia, Spain - Author
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Abstract

Arrhythmogenic Cardiomyopathy (ACM) is a rare cardiac genetic disease that can lead to severe cardiac structural and electrical abnormalities. Diagnosing ACM includes several ECG biomarkers without sex distinction, and it remains challenging, particularly in cases involving the left ventricle (LV) and biventricular (biV) forms. Our study aims to improve the yield of current criteria in patients with LV and biV ACM involvement by introducing innovative ECG-based biomarkers that ultimately feed different Logistic Regression models to identify the disease. Additionally, we aim to find differences in the performance of the biomarkers and the classification models through a sex-focused stratification. In this work, 87 individuals (age 43 +/- 18 years, 53 % female) underwent cardiological evaluations as part of family screening for ACM, resulting in 41 ACM cases and 46 healthy relatives. We extracted 87 parameters from each ECG, analyzed their statistical significance, and performed different feature selections to optimize each classification model, maximizing G-metric values. We identified 30 significant ECG biomarkers common to both sexes, 9 specific to women, and 15 specific to men. Classification results reached a maximum G value of 0.84 (sensitivity 0.85, specificity 0.83) for the whole cohort, 0.88 (sensitivity 0.87, specificity 0.89) for the male cohort, and 0.81 (sensitivity 0.83, specificity 0.79) for the female cohort. These findings suggest that specific disease ECG biomarkers and sex-stratified models may enhance ACM detection, particularly in males. After validation in larger cohorts, the proposed ECG biomarkers and machine learning approaches might improve diagnostic accuracy for ACM during family screening.
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Keywords

12-lead ecgArrhythmogenic cardiomyopathy diagnosticClassificationDiseasesEcgFeature selectionFeature-extractionGeneticsLogistic regressionMorphologyParametersPrincipal components analysisSex stratificatioSignalsSportTime-frequencyVectorcardiogram

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Biomedical Signal Processing and Control due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Signal Processing.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-03:

  • WoS: 2
  • Scopus: 4
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 12 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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    Leadership analysis of institutional authors

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (JIMÉNEZ SERRANO, SANTIAGO) and Last Author (Castells Ramón, Francisco Sales).

    the author responsible for correspondence tasks has been JIMÉNEZ SERRANO, SANTIAGO.

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