Respiratory-related heart rate variation was examined during sleep and waking in cats with time series analysis techniques. Extent (magnitude) and coherence (degree of correlation between heart rate variation and respiratory activity) were calculated from cardiac and respiratory activity spectra. State-related differences in extent and coherence were found. Coherence appeared to be the most appropriate indicator of respiratory arrythmia differences between sleep and waking states. Overall coherence was greatest during quiet sleep, least during quiet wakefulness, and intermediate during rapid eye-movement sleep. Overall extent was also greatest during quiet sleep and least during rapid eye-movement sleep and quiet wakefulness.
ASJC Scopus subject areas
- Developmental Neuroscience