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基于近红外光谱法测量脑梗死患者脑氧合信号的小波分析。

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

机构信息

School of Mechanical Engineering, Shandong University, Jinan, PR China.

出版信息

Microvasc Res. 2010 Jul;80(1):142-7. doi: 10.1016/j.mvr.2010.02.004. Epub 2010 Feb 13.

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 [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.

摘要

本研究旨在通过近红外光谱(NIRS)信号的小波变换评估脑梗死(CI)患者的脑氧合波。从当地医院招募了 20 名受试者参与这项研究。受试者取仰卧位,使用 NIRS 从额叶监测脑氧合信号 20 分钟。通过基于小波变换的光谱分析,确定了五个频率间隔(I,0.005-0.02 Hz,II,0.02-0.06 Hz,III,0.06-0.15 Hz,IV,0.15-0.40 Hz 和 V,0.40-2.0 Hz)。CI 患者的频率间隔 I(0.005-0.02 Hz)、II(0.02-0.06 Hz)、III(0.06-0.15 Hz)和 V(0.15-2 Hz)中[HbO2]的振幅比正常受试者分别降低了 36%、45%、50%和 69%(p<0.05)。CI 患者的频率间隔 I(0.005-0.02 Hz)、II(0.02-0.06 Hz)和 V(0.15-2 Hz)中[Hb]的振幅比正常受试者分别降低了 40%、36%和 69%(p<0.05)。CI 患者自发波动的减少可能表明动脉血管的僵硬程度增加。这表明基于 NIRS 信号的小波变换,有可能将自发波动应用于评估 CI 高危人群的动脉粥样硬化。

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