Share Email Print
cover

Proceedings Paper

Which experimental model can sensitively indicate brain death by functional near-infrared spectroscopy?
Author(s): Boan Pan; Weichao Liu; Xiang Fang; Xiaobo Huang; Ting Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Brain death is defined as permanent loss of the brain functions. The evaluation of it has many meanings, such as the relief of organ transplantation stress and family burden. However, it is hard to be judged precisely. The standard clinical tests are expensive, time consuming and even dangerous, and some auxiliary methods have limitations. Functional near infrared spectroscopy (fNIRS), monitoring cerebral hemodynamic responses noninvasively, evaluate brain death in some papers published, but there is no discussion about which experimental mode can monitor brain death patient more sensitively. Here, we attempt to use our fNIRS to evaluate brain death and find which experimental mode is effective. In order to discuss the problem, we detected eleven brain death patients and twenty normal patients under natural state. They were provided different fraction of inspiration O2 (FIO2) in different phase. We found that the ratio of ∆[HbO2] (the concentration changes in oxyhemoglobin) to ∆[Hb] (the concentration changes in deoxyhemoglobin) in brain death patients is significantly higher than normal patients in FIO2 experiment. Combined with the data analysis result, restore oxygen change process and low-high-low paradigm is more sensitively.

Paper Details

Date Published: 12 February 2018
PDF: 8 pages
Proc. SPIE 10484, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, 1048418 (12 February 2018); doi: 10.1117/12.2288971
Show Author Affiliations
Boan Pan, Univ. of Electronic Science and Technology of China (China)
Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Weichao Liu, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Xiang Fang, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Xiaobo Huang, Sichuan Province People's Hospital, Univ. of Electronic Science and Technology of China (China)
Ting Li, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)


Published in SPIE Proceedings Vol. 10484:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

© SPIE. Terms of Use
Back to Top