Use this url to cite publication: https://hdl.handle.net/20.500.12512/95460
Identification of clusters in a trial group of persons based on their cardiac intervals and magnetic field data
Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
| Author | Affiliation |
|---|---|
Timofejeva, Inga | |
Title
Identification of clusters in a trial group of persons based on their cardiac intervals and magnetic field data
I. Timofejeva, R. Joffe, A. Vainoras, M. Ragulskis
Publisher (trusted)
Vilnius University Institute of Mathematics and Informatics
Date Issued
| Date |
|---|
2016-12-01 |
Extent
p. 59-59.
Is part of
8th International Workshop Data analysis methods for software systems – DAMSS : Druskininkai, Lithuania, December 1-3, 2016 / Lithuanian Computer Society. Vilnius University Institute of Mathematics and Informatics. Lithuanian Academy of Sciences ; [sudarytoja Jolita Bernatavičienė]. Vilnius : Vilnius University Institute of Mathematics and Informatics, 2016. ISBN 9789986680611.
Version
Originalus / Original
Series/Report no.
Plenary session.
Description
ISBN: 978-9986-680-61-1. We will recommend the authors of talks to submit their papers for publication in the special issue of "Baltic Journal of Modern Computing" www.bjmc.lu.lv.
Field of Science
Abstract (en)
Data on heart interbeat intervals for a group of 20 persons wearing cardiac monitors for two weeks are fused together with data generated by a local magnetic field magnetometer. The algorithm for the identification of slow dynamics for every person is constructed in order to provide meaningful interrelationships between the persons and the magnetic field. Near-optimal chaotic attractor embedding techniques are used to identify specific patterns in interpersonal dynamics. The revealed clusters are validated by data from psychological questionnaires.
Type of document
type::text::conference output::conference proceedings::conference paper
ISBN (of the container)
9789986680611
Other Identifier(s)
(LSMU ALMA)990000917090107106
Coverage Spatial
Lietuva / Lithuania (LT)
Language
Anglų / English (en)