Title :
Time frequency analysis of heart rate variability in rat sleep/wakefulness cycles
Author :
Tang, X. ; Dworkin, B. ; Dworkin, S. ; Resiman, S.
Author_Institution :
New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The Wigner distribution time frequency analysis algorithm was applied to heart rate variability (HRV) signals during sleep/wakefulness cycles in four 250-350g artificially ventilated neuromuscular blocked (NMB) rats. The HRV spectrum contains three major components, the very low frequency component (0 to 0.25 Hz); the low frequency component (0.25 Hz to 0.8 Hz), and the high frequency component (0.8 Hz to 2.3 Hz). The instantaneous power in the high frequency range of the HRV spectra was quantitatively assessed using the Wigner distribution time frequency algorithm. The time dependent high frequency power of the HRV was clearly higher and lower during the sleep and wakefulness, respectively, and in addition, also varies, with high time resolution, intermediately during the transitional time between the cycles
Keywords :
Wigner distribution; cardiovascular system; electrocardiography; medical signal processing; neurophysiology; sleep; spectral analysis; time-frequency analysis; 2D spectral analysis; ECG; Wigner distribution; artificially ventilated neuromuscular blocked; heart rate variability; high frequency component; instantaneous power; low frequency component; neural control of circulation; rat sleep/wakefulness cycles; time frequency analysis; transitional time between cycles; very low frequency component; Cardiology; Educational institutions; Frequency domain analysis; Heart rate variability; Neuromuscular; Rats; Signal analysis; Sleep; Spectral analysis; Time frequency analysis;
Conference_Titel :
Bioengineering Conference, 1999. Proceedings of the IEEE 25th Annual Northeast
Conference_Location :
West Hartford, CT
Print_ISBN :
0-7803-5486-9
DOI :
10.1109/NEBC.1999.755773
