Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Heart rate variability for automatic assessment of congestive heart failure severity

Tools
- Tools
+ Tools

Melillo, Paolo, Pacifici, E., Orrico, Ada, Iadanza, E. and Pecchia, Leandro (2013) Heart rate variability for automatic assessment of congestive heart failure severity. In: Roa Romero, Laura M., (ed.) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 : MEDICON 2013, 25-28 September 2013, Seville, Spain. IFMBE Proceedings, Volume 41 . Springer, pp. 1342-1345. ISBN 9783319008455

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1007/978-3-319-00846-2_332

Request Changes to record.

Abstract

The aim of this paper is to describe an automatic classifier to assess the severity of congestive heart failure (CHF) patients. Disease severity is defined according to the New York Heart Association classification (NYHA). The proposed classified aims to distinguish very mild CHF (NYHA I) from mild (NYHA II) and severe CHF patients (NYHA III), using long-term nonlinear Heart Rate Variability (HRV) measures. 24h Holter ECG recording from 2 public databases was performed, including 44 patients suffering from CHF.
One non-linear HRV feature was effective in distinguishing very-mild CHF from mild CHF, by achieving a sensibility and specificity rate of 7% and 100% respectively. Moreover, we combine the results obtained by LDA in a classification tree (previously described) in order to obtain an automatic classifier for CHF severity assessment.

Item Type: Book Item
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Heart beat -- Measurement, Heart beat -- Physiological aspects, Congestive heart failure, Linear models (Statistics)
Series Name: IFMBE Proceedings
Publisher: Springer
ISBN: 9783319008455
ISSN: 1680-0737
Book Title: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 : MEDICON 2013, 25-28 September 2013, Seville, Spain
Editor: Roa Romero, Laura M.
Official Date: 2013
Dates:
DateEvent
2013Published
Volume: Volume 41
Page Range: pp. 1342-1345
DOI: 10.1007/978-3-319-00846-2_332
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC), National Operational Programme for Research and Competitiveness
Grant number: EP/F063822/1) ; PON04a3_00139; 2007-2013

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us