DocumentCode :
2405050
Title :
Correntropy-based analysis of respiratory patterns in patients with chronic heart failure
Author :
Garde, Ainara ; Sörnmo, Leif ; Jané, Raimon ; Giraldo, Beatriz F.
Author_Institution :
Dept. of ESAII, Univ. Politec. de Catalunya (UPC), Barcelona, Spain
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4687
Lastpage :
4690
Abstract :
A correntropy-based technique is proposed for the analysis and characterization of respiratory flow signals in chronic heart failure (CHF) patients with both periodic and nonperiodic breathing (PB and nPB), and healthy subjects. Correntropy is a novel similarity measure which provides information on temporal structure and statistical distribution simultaneously. Its properties lend itself to the definition of the correntropy spectral density (CSD). An interesting result from CSD-based spectral analysis is that both the respiratory frequency and modulation frequency can be detected at their original positions in the spectrum without prior demodulation of the flow signal. The respiratory pattern is characterized by a number of spectral parameters extracted from the respiratory and modulation frequency bands. The results show that the power of the modulation frequency band offers excellent performance when classifying CHF patients versus healthy subjects, with an accuracy of 95.3%, and nPB patients versus healthy subjects with 90.7%. The ratio between the power in the modulation and respiration frequency bands provides the best results classifying CHF patients into PB and nPB, with an accuracy of 88.9%.
Keywords :
cardiology; demodulation; entropy; feature extraction; medical disorders; medical signal processing; pneumodynamics; statistical distributions; chronic heart failure; correntropy spectral density; correntropy-based analysis; modulation frequency; respiratory flow signal characterization; respiratory patterns; signal demodulation; spectral parameter extraction; statistical distribution; temporal structure; Adult; Aged; Chronic Disease; Female; Heart Failure; Humans; Male; Middle Aged; Models, Biological; Monitoring, Physiologic; Reproducibility of Results; Respiratory Rate; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334219
Filename :
5334219
Link To Document :
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