Wavelet analysis of cerebral oxygenation signal measured by near infrared spectroscopy in subjects with cerebral infarction

• Published in: Microvascular research Vol. 80; no. 1; pp. 142 - 147
• Main Authors: Li, Zengyong, Wang, Yonghui, Li, Yue, Wang, Yan, Li, Jianping, Zhang, Liangliang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2010
• Subjects: Aged; Cerebral infarction; Cerebral Infarction - blood; Cerebral Infarction - physiopathology; Cerebral oxygenation; Female; Frontal Lobe - blood supply; Frontal Lobe - metabolism; Frontal Lobe - physiopathology; Hemoglobins - metabolism; Humans; Male; Middle Aged; Near infrared spectroscopy; Oxygen - blood; Oxyhemoglobins - metabolism; Spectroscopy, Near-Infrared - methods; Wavelet transform; Near infrared spectroscopy; Cerebral infarction; Cerebral oxygenation; Wavelet transform
• ISSN: 0026-2862; 1095-9319; 1095-9319
• DOI: 10.1016/j.mvr.2010.02.004

The objective of this study is to assess the cerebral oxygenation oscillations in subjects with cerebral infarction (CI) based on the wavelet transform of near infrared spectroscopy (NIRS) signals. A total of twenty subjects were recruited from a local hospital to participate in this study. The subjects lay in the supine position and cerebral oxygenation signal was monitored for 20 min from the frontal lobe using NIRS. With spectral analysis based on wavelet transform, five frequency intervals were identified (I, 0.005–0.02 Hz, II, 0.02–0.06 Hz, III, 0.06-0.15 Hz, IV, 0.15–0.40 Hz and V, 0.40–2.0 Hz). The amplitude of the [HbO2] in frequency interval I (0.005–0.02 Hz), II (0.02–0.06 Hz), III (0.06–0.15 Hz) and V(0.15–2 Hz) for the subjects with CI were found to be significantly lower by 36%, 45%, 50% and 69% compared to that for the normal subjects (p<0.05). The amplitude of the [Hb] in frequency interval I (0.005–0.02 Hz), II (0.02–0.06 Hz) and V(0.15–2 Hz) for the subjects with CI were found to be significantly lower by 40%, 36% and 69% compared to that for the normal subjects (p<0.05). The reduction of spontaneous oscillations in subjects with CI may suggest an increased stiffness in arterial vessels. This indicates the possibility of applying spontaneous oscillations to assessing atherosclerosis in high risk subjects for CI based on the wavelet transform of NIRS signals.