Title :
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
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;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4673-1117-5
DOI :
10.1109/TSP.2012.6256366
