Published February 15, 2009
| Version v1
Journal article
Sequence distance via parsing complexity: Heartbeat signals
Creators
- 1. Department of Mathematics, University of Bologna (Italy)
Description
We compare and discuss the use of different symbolic codings of electrocardiogram (ECG) signals in order to distinguish healthy patients from hospitalized ones. To this aim, we recall a parsing-based similarity distance and compare the performances of several methods of classification of data.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2007.03.005Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2007.03.005;
- PII
- S0960-0779(07)00283-4;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 39
- Journal Issue
- 3
- Journal Page Range
- p. 991-999
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41008630
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CLASSIFICATION; COMPARATIVE EVALUATIONS; DISTANCE; ELECTROCARDIOGRAMS; PATIENTS; PERFORMANCE; SIGNALS
- Descriptors DEC
- DIAGRAMS; EVALUATION; INFORMATION
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.