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Oscillations in the near-infrared signal in patients with severe head injury.

机译:严重颅脑损伤患者的近红外信号振荡。

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OBJECTIVE: To use a non-invasive system, near infrared spectroscopy (NIRS) to detect oscillations in cerebral blood oxygenation in intensive care patients with severe traumatic brain injury. MATERIALS AND METHODS: 9 patients (7 male, 2 female) with a GCS < 8 were monitored in the intensive care units at King's College Hospital and the Royal London Hospital. A CCD-based spectrometer was coupled to the patient's forehead with one excitation and one detection optode. Spectra in the range of approximately 600-800 nm were collected at intervals of 2-4 seconds (subject to signal strength) and a curve-fitting algorithm applied, thus extracting time series data for oxyhaemoglobin (HbO), deoxyhaemoglobin (Hb) and cytochrome-c-oxidase (Cyt-c). The oxyhaemoglobin data was subjected to Fast Fourier Transform analysis. RESULTS: In all nine patients, unequivocal oscillations in the HbO signal were observed. The frequencies of these oscillations were at: 0.013-0.042 Hz (0.78-2.5 cycles min-1), 0.11 Hz (6.7 cycles min-1) and 0.19-0.28 Hz (12-16 cycles min-1). CONCLUSIONS: The presence of oscillations at 0.013-0.033 Hz, 0.11 Hz and 0.19-0.28 Hz are compatible with B-waves, vasomotion and respiratory cycles (respectively). However, due to the unknown contribution of the scalp to the NIR signal this data must be interpreted with care. Further work is required in order to investigate this.
机译:目的:使用非侵入性系统近红外光谱(NIRS)来检测重症颅脑损伤重症监护患者的脑血氧饱和度波动。材料与方法:在国王学院医院和伦敦皇家医院的重症监护室对GCS <8的9例患者(男7例,女2例)进行了监测。基于CCD的光谱仪通过一个激发和一个检测光电二极管耦合到患者的前额。以2-4秒的间隔(取决于信号强度)收集大约600-800 nm范围内的光谱并应用曲线拟合算法,从而提取氧合血红蛋白(HbO),脱氧血红蛋白(Hb)和细胞色素的时间序列数据-c-氧化酶(Cyt-c)。氧合血红蛋白数据经过快速傅立叶变换分析。结果:在所有9例患者中,均观察到HbO信号明确振荡。这些振荡的频率为:0.013-0.042 Hz(0.78-2.5个周期min-1),0.11 Hz(6.7个周期min-1)和0.19-0.28 Hz(12-16个周期min-1)。结论:0.013-0.033 Hz,0.11 Hz和0.19-0.28 Hz的振荡分别与B波,血管舒张和呼吸周期兼容。但是,由于头皮对NIR信号的贡献未知,因此必须谨慎解释该数据。需要对此进行进一步的研究。

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