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对来自中风高危人群前额叶的近红外光谱信号进行光谱分析。

Spectral analysis of near-infrared spectroscopy signals measured from prefrontal lobe in subjects at risk for stroke.

机构信息

School of Mechanical Engineering, Shandong University, Jinan, People's Republic of China.

出版信息

Med Phys. 2012 Apr;39(4):2179-85. doi: 10.1118/1.3696363.

Abstract

PURPOSE

The objective of this study was to assess the spontaneous cerebral oscillations based on the wavelet transform of near-infrared spectroscopy (NIRS) signals in subjects at risk for atherosclerotic stroke.

METHODS

A total of 32 subjects were recruited from the university to participate in this study: 20 were normal subjects (age = 59.6 ± 10.2 year) and the other 12 were subjects at risk for ischemic stroke (age = 60.2 ± 10.1 year).The cerebral oxygenation signal was monitored for 10 min from the left prefrontal lobe using NIRS.

RESULTS

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 [Hb] in the frequency intervals from I to V and of the [HbO(2)] in frequency intervals I and V in subjects at risk for stroke were found to be significantly lower compared to the amplitudes in normal subjects.

CONCLUSIONS

The reduction of spontaneous oscillations in these subjects suggests an increased stiffness in the cerebral artery. This indicates the possibility of applying spontaneous oscillations, based on the wavelet transform of NIRS signals, to assess the risk in subjects with atherosclerosis.

摘要

目的

本研究旨在评估基于近红外光谱(NIRS)信号小波变换的动脉粥样硬化性卒中高危人群的自发性脑振荡。

方法

从大学共招募 32 名受试者参与本研究:20 名正常受试者(年龄=59.6±10.2 岁)和 12 名缺血性卒中高危受试者(年龄=60.2±10.1 岁)。使用 NIRS 从左侧前额叶监测脑氧合信号 10 分钟。

结果

基于小波变换的频谱分析,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)。发现卒中高危受试者在频率间隔 I 至 V 的[Hb]和频率间隔 I 和 V 的[HbO(2)]的振幅明显低于正常受试者的振幅。

结论

这些受试者自发性振荡的减少表明大脑动脉僵硬度增加。这表明,基于 NIRS 信号的小波变换,可以应用自发性振荡来评估动脉粥样硬化患者的风险。

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