Principal component analysis and fuzzy clustering of SA HRV during the Orthostatic challenge

Author

Peterek, Tomas ; Krohova, Jana ; Smondrk, Maros ; Penhaker, Marek

Author_Institution

Dept. of Cybern. & Biomed. Eng., VSB - Tech. Univ. of Ostrava, Ostrava, Czech Republic

fYear

2012

fDate

3-4 July 2012

Firstpage

596

Lastpage

599

Abstract

The Orthostatic challenge (OSCH) is the most useful test for the determination of a human´s autonomic dysregulation. It is used in many branches of medicine, for example in Neurology, Cardiology and Diabetology. The main aim of this paper is to describe the changes of the autonomic nervous system (ANS) during the orthostatic challenge. These changes are subsequently quantified and classified to clusters. The distinction of the ANS behavior could bring better understanding of this difficult system.

Keywords

fuzzy set theory; gait analysis; neurophysiology; pattern classification; pattern clustering; principal component analysis; ANS behavior; OSCH; SA HRV; autonomic nervous system; cardiology; cluster classification; diabetology; fuzzy clustering; heart rate variability; human autonomic dysregulation; neurology; orthostatic challenge; principal component analysis; Continuous wavelet transforms; Hafnium; Heart rate variability; Principal component analysis; Resonant frequency; Time frequency analysis; Fuzzy-C means; Orthostatic challenge; PCA; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications and Signal Processing (TSP), 2012 35th International Conference on

Conference_Location

Prague

Print_ISBN

978-1-4673-1117-5

Type

conf

DOI

10.1109/TSP.2012.6256366

Filename

6256366