IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i3p428-d134153.html
   My bibliography  Save this article

An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring

Author

Listed:
  • Cristina Soguero-Ruiz

    (Department of Signal Theory and Communications and Telematics Systems and Computing, Rey Juan Carlos University, 28942 Madrid, Spain)

  • Inmaculada Mora-Jiménez

    (Department of Signal Theory and Communications and Telematics Systems and Computing, Rey Juan Carlos University, 28942 Madrid, Spain)

  • Javier Ramos-López

    (Department of Signal Theory and Communications and Telematics Systems and Computing, Rey Juan Carlos University, 28942 Madrid, Spain)

  • Teresa Quintanilla Fernández

    (Department of Signal Theory and Communications, Carlos III University, 28912 Madrid, Spain)

  • Antonio García-García

    (Niño Jesús Hospital, 28009 Madrid, Spain)

  • Daniel Díez-Mazuela

    (Doce de Octubre Hospital, 28041 Madrid, Spain)

  • Arcadi García-Alberola

    (Unit of Arrhythmias, University Hospital Virgen de la Arrixaca, 30120 Murcia, Spain)

  • José Luis Rojo-Álvarez

    (Department of Signal Theory and Communications and Telematics Systems and Computing, Rey Juan Carlos University, 28942 Madrid, Spain
    Center for Computational Simulation, Universidad Politécnica de Madrid, Boadilla, 28223 Madrid, Spain)

Abstract

Many indices have been proposed for cardiovascular risk stratification from electrocardiogram signal processing, still with limited use in clinical practice. We created a system integrating the clinical definition of cardiac risk subdomains from ECGs and the use of diverse signal processing techniques. Three subdomains were defined from the joint analysis of the technical and clinical viewpoints. One subdomain was devoted to demographic and clinical data. The other two subdomains were intended to obtain widely defined risk indices from ECG monitoring: a simple-domain (heart rate turbulence (HRT)), and a complex-domain (heart rate variability (HRV)). Data provided by the three subdomains allowed for the generation of alerts with different intensity and nature, as well as for the grouping and scrutinization of patients according to the established processing and risk-thresholding criteria. The implemented system was tested by connecting data from real-world in-hospital electronic health records and ECG monitoring by considering standards for syntactic (HL7 messages) and semantic interoperability (archetypes based on CEN/ISO EN13606 and SNOMED-CT). The system was able to provide risk indices and to generate alerts in the health records to support decision-making. Overall, the system allows for the agile interaction of research and clinical practice in the Holter-ECG-based cardiac risk domain.

Suggested Citation

  • Cristina Soguero-Ruiz & Inmaculada Mora-Jiménez & Javier Ramos-López & Teresa Quintanilla Fernández & Antonio García-García & Daniel Díez-Mazuela & Arcadi García-Alberola & José Luis Rojo-Álvarez, 2018. "An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring," IJERPH, MDPI, vol. 15(3), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:428-:d:134153
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/3/428/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/3/428/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Po-Hsun Cheng & Feipei Lai & Jin-Shin Lai, 2009. "A Service-Oriented Healthcare Message Alerting Architecture in an Asia Medical Center: A Case Study," IJERPH, MDPI, vol. 6(6), pages 1-12, June.
    2. Iván Corredor & Eduardo Metola & Ana M. Bernardos & Paula Tarrío & José R. Casar, 2014. "A Lightweight Web of Things Open Platform to Facilitate Context Data Management and Personalized Healthcare Services Creation," IJERPH, MDPI, vol. 11(5), pages 1-38, April.
    3. Shastri L. Nimmagadda & Heinz V. Dreher, 2014. "On Robust Methodologies for Managing Public Health Care Systems," IJERPH, MDPI, vol. 11(1), pages 1-35, January.
    4. Chuan-Jun Su & Chang-Yu Chiang, 2013. "IAServ: An Intelligent Home Care Web Services Platform in a Cloud for Aging-in-Place," IJERPH, MDPI, vol. 10(11), pages 1-25, November.
    5. Nii Antiaye Addy & Arash Shaban-Nejad & David L. Buckeridge & Laurette Dubé, 2015. "An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada," IJERPH, MDPI, vol. 12(2), pages 1-20, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tuochen Li & Siran Wang, 2021. "How to Improve the Public Trust of the Intelligent Aging Community: An Empirical Study Based on the ACSI Model," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    2. Yu-Feng Lin & Hsin-Han Shie & Yi-Ching Yang & Vincent S. Tseng, 2014. "Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations," IJERPH, MDPI, vol. 11(4), pages 1-18, April.
    3. Mohammad S. Jalali & Hazhir Rahmandad & Sally Lawrence Bullock & Alice Ammerman, 2017. "Dynamics of Implementation and Maintenance of Organizational Health Interventions," IJERPH, MDPI, vol. 14(8), pages 1-24, August.
    4. Katrien Luijkx & Sebastiaan Peek & Eveline Wouters, 2015. "“Grandma, You Should Do It—It’s Cool” Older Adults and the Role of Family Members in Their Acceptance of Technology," IJERPH, MDPI, vol. 12(12), pages 1-16, December.
    5. Luciana Cardoso & Fernando Marins & Filipe Portela & Manuel Santos & António Abelha & José Machado, 2014. "The Next Generation of Interoperability Agents in Healthcare," IJERPH, MDPI, vol. 11(5), pages 1-23, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:428-:d:134153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.