DocumentCode :
3206186
Title :
Entropy-based complexity of the cardiovascular control in Parkinson disease: Comparison between binning and k-nearest-neighbor approaches
Author :
Porta, Alberto ; Bari, Vlasta ; Bassani, T. ; Marchi, Andrea ; Tassin, Stefano ; Canesi, Margherita ; Barbic, Franca ; Furlan, Rogerio
Author_Institution :
Dept. of Biomed. Sci. for Health, Univ. of Milan, Milan, Italy
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
5045
Lastpage :
5048
Abstract :
Entropy-based approaches are frequently used to quantify complexity of short-term cardiovascular control from spontaneous beat-to-beat variability of heart period (HP) and systolic arterial pressure (SAP). Among these tools the ones optimizing a critical parameter such as the pattern length are receiving more and more attention. This study compares two entropy-based techniques for the quantification of complexity making use of completely different strategies to optimize the pattern length. Comparison was carried out over HP and SAP variability series recorded from 12 Parkinson´s disease (PD) patients without orthostatic hypotension or symptoms of orthostatic intolerance and 12 age-matched healthy control (HC) subjects. Regardless of the method, complexity of cardiovascular control increased in PD group, thus suggesting the early impairment of cardiovascular function.
Keywords :
blood vessels; cardiovascular system; diseases; entropy; medical control systems; HP variability series; K-nearest-neighbor approaches; PD group; Parkinson´s disease patients; SAP variability series; age-matched healthy control subjects; binning; cardiovascular control; cardiovascular function; critical parameter; entropy-based complexity; entropy-based techniques; orthostatic intolerance; spontaneous beat-beat variability; systolic arterial pressure; Complexity theory; Electronic mail; Entropy; Heart; Indexes; Predictive models; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610682
Filename :
6610682
Link To Document :
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