DocumentCode :
3037541
Title :
Processing of ECG and Breathing Signals to Study the Correlation of Respiration Waveform Time Intervals with HF and LF Powers of Heart Rate Variability
Author :
Barrera, E. ; Fabian, M.A. ; Ruiz, H.V.
Author_Institution :
Univ. Michoacana de San Nicolas de Hidalgo, Hidalgo
fYear :
2008
fDate :
Sept. 30 2008-Oct. 3 2008
Firstpage :
592
Lastpage :
597
Abstract :
The aim of this paper is to present a designed software platform for the processing of electrocardiographic (ECG) and breathing signals in order to study the correlation of respiration waveform time intervals with high frequency (HF) and low frequency (LF) powers of heart rate variability (HRV). The software was tested with signals from 5 minutes recordings, including respiration paces of 12, 9, and 6 breaths per minute. Wavelet based software was used to locate the R waves of an ECG signal, in order to obtain a tachogram used to calculate parameters of HRV. Special software was developed to process breathing signals to identify defined points of the respiration waveforms and to calculate their time intervals to study the correlation of these time intervals with HF and LF powers of HRV. These powers are traditionally associated with parasympathetic and sympathetic activity, respectively. The paper presents a description of the developed signal processing software and the obtained test results.
Keywords :
biology computing; electrocardiography; pneumodynamics; program testing; signal processing; breathing signal processing; breathing signals; electrocardiographic signal processing; heart rate variability; high frequency powers; low frequency powers; parasympathetic activity; respiration waveform time intervals; signal processing software; software testing; tachogram; wavelet based software; Continuous wavelet transforms; Digital filters; Discrete wavelet transforms; Electrocardiography; Frequency; Hafnium; Heart rate variability; Low pass filters; Signal processing; Signal resolution; Biomedical Signal Processing; Electrocardiography and Breathing Signals; Heart Rate Variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-3320-9
Type :
conf
DOI :
10.1109/CERMA.2008.61
Filename :
4641137
Link To Document :
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