Wavelet analysis of cerebral oxygenation signal measured by near infrared spectroscopy in subjects with cerebral infarction
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 subj...
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| Published in | Microvascular research Vol. 80; no. 1; pp. 142 - 147 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Inc
01.07.2010
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| Abstract | 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. |
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| AbstractList | 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 [HbO(2)] 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. 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. 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 [HbO(2)] 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.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 [HbO(2)] 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. |
| Author | Li, Yue Li, Jianping Li, Zengyong Wang, Yonghui Zhang, Liangliang Wang, Yan |
| Author_xml | – sequence: 1 givenname: Zengyong surname: Li fullname: Li, Zengyong email: zyongli@sdu.edu.cn organization: School of Mechanical Engineering, Shandong University, Jinan, 250061 P.R. China – sequence: 2 givenname: Yonghui surname: Wang fullname: Wang, Yonghui organization: Center of Rehabilitation, Qilu Hospital, Shandong University, Jinan, 250061 P.R. China – sequence: 3 givenname: Yue surname: Li fullname: Li, Yue organization: Department of Biomedical Engineering, School of Medicine Tsinghua University, Beijing, 100084 P.R. China – sequence: 4 givenname: Yan surname: Wang fullname: Wang, Yan organization: School of Mechanical Engineering, Shandong University, Jinan, 250061 P.R. China – sequence: 5 givenname: Jianping surname: Li fullname: Li, Jianping organization: School of Mechanical Engineering, Shandong University, Jinan, 250061 P.R. China – sequence: 6 givenname: Liangliang surname: Zhang fullname: Zhang, Liangliang organization: School of Mechanical Engineering, Shandong University, Jinan, 250061 P.R. China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20156461$$D View this record in MEDLINE/PubMed |
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| Keywords | Near infrared spectroscopy Cerebral infarction Cerebral oxygenation Wavelet transform |
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| SubjectTerms | 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 |
| Title | Wavelet analysis of cerebral oxygenation signal measured by near infrared spectroscopy in subjects with cerebral infarction |
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