Wavelet transform analysis to assess oscillations in pial artery pulsation at the human cardiac frequency
PBN-AR
Instytucja
Wydział Elektroniki, Telekomunikacji i Informatyki (Politechnika Gdańska)
Informacje podstawowe
Główny język publikacji
ENG
Czasopismo
MICROVASCULAR RESEARCH
ISSN
0026-2862
EISSN
Wydawca
DOI
URL
Rok publikacji
2015
Numer zeszytu
Strony od-do
86-91
Numer tomu
99
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
CARDIAC FREQUENCY
NIRT
PIAL ARTERY
WAVELET ANALYSIS
WAVELET TRANSFORM
Streszczenia
Język
Treść
Pial artery adjustments to changes in blood pressure (BP)may last only seconds in humans. Using a novelmethod called near-infrared transillumination backscattering sounding (NIR-T/BSS) that allows for the non-invasive measurement of pial artery pulsation (cc-TQ) in humans, we aimed to assess the relationship between spontaneous oscillations in BP and cc-TQ at frequencies between 0.5 Hz and 5 Hz. We hypothesized that analysis of very short data segments would enable the estimation of changes in the cardiac contribution to the BP vs. cc-TQ relationship during very rapid pial artery adjustments to external stimuli. BP and pial artery oscillations during baseline (70 s and 10 s signals) and the response to maximal breath-hold apnea were studied in eighteen healthy subjects. The cc-TQ was measured using NIR-T/BSS; cerebral blood flow velocity, the pulsatility index and the resistive index were measured using Doppler ultrasound of the left internal carotid artery; heart rate and beat-to-beat systolic and diastolic blood pressure were recorded using a Finometer; end-tidal CO2 was measured using a medical gas analyzer. Wavelet transform analysis was used to assess the relationship between BP and cc-TQ oscillations. The recordings lasting 10 s and representing 10 cycles with a frequency of ~1 Hz provided sufficient accuracy with respect to wavelet coherence and wavelet phase coherence values and yielded similar results to those obtained from approximately 70 cycles (70 s). A slight but significant decrease in wavelet coherence between augmented BP and cc-TQ oscillations was observed by the end of apnea. Wavelet transform analysis can be used to assess the relationship between BP and cc-TQ oscillations at cardiac frequency using signals intervals as short as 10 s. Apnea slightly decreases the contribution of cardiac activity to BP and cc-TQ oscillations.
Inne
System-identifier
132413
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