Correntropy-based Analysis of Respiratory Patterns with Chronic Heart Failure
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Cita com:
hdl:2117/9809
Tipus de documentText en actes de congrés
Data publicació2009
Condicions d'accésAccés obert
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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%.
CitacióGarde, A. [et al.]. Correntropy-based Analysis of Respiratory Patterns with Chronic Heart Failure. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society". Minneapolis, Minnesota: 2009, p. 4687-4690.
ISBN978-1-4244-3296-7
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