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Proceedings Paper

Evaluation and diagnosis of brain death by functional near-infrared spectroscopy
Author(s): Boan Pan; Fulin Zhong; Xiaobo Huang; Lingai Pan; Sen Lu; Ting Li
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Paper Abstract

Brain death, the irreversible and permanent loss of the brain and brainstem functions, is hard to be judged precisely for some clinical reasons. The traditional diagnostic methods are time consuming, expensive and some are even dangerous. Functional near infrared spectroscopy (FNIRS), using the good scattering properties of major component of blood to NIR, is capable of noninvasive monitoring cerebral hemodynamic responses. Here, we attempt to use portable FNIRS under patients’ natural state for brain death diagnosis. Ten brain death patients and seven normal subjects participated in FNIRS measurements. All of them were provided different fractional concentration of inspired oxygen (FIO2) in different time periods. We found that the concentration variation of deoxyhemoglobin concentration (Δ[Hb]) presents the trend of decrease in the both brain death patients and normal subjects with the raise of the FIO2, however, the data in the normal subjects is more significant. And the concentration variation of oxyhemoglobins concentration (Δ[HbO2]) emerges the opposite trends. Thus Δ[HbO2]/Δ[Hb] in brain death patients is significantly higher than normal subjects, and emerges the rising trend as time went on. The findings indicated the potential of FNIRS-measured hemodynamic index in diagnosing brain death.

Paper Details

Date Published: 14 February 2017
PDF: 6 pages
Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100541B (14 February 2017); doi: 10.1117/12.2252142
Show Author Affiliations
Boan Pan, Univ. of Electronic Science and Technology of China (China)
Fulin Zhong, Univ. of Electronic Science and Technology of China (China)
Xiaobo Huang, Sichuan Province People's Hospital, Univ. of Electronic Science and Technology of China (China)
Lingai Pan, Sichuan Province People's Hospital, Univ. of Electronic Science and Technology of China (China)
Sen Lu, Sichuan Province People's Hospital, Univ. of Electronic Science and Technology of China (China)
Ting Li, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10054:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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