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dc.contributor.authorKuo, Jinn-Rungen_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.contributor.authorCheng, Chih-Lunen_US
dc.contributor.authorChio, Chung-Chingen_US
dc.date.accessioned2014-12-08T15:34:37Z-
dc.date.available2014-12-08T15:34:37Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn2168-2194en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JBHI.2013.2261310en_US
dc.identifier.urihttp://hdl.handle.net/11536/23635-
dc.description.abstractNear-infrared spectroscopy (NIRS) is a modern measuring technology in neuroscience. It can be used to noninvasively measure the relative concentrations of oxyhemoglobin (OxyHb) and deoxyhemoglobin (DeoHb), which can reflect information related to cerebral blood volume and cerebral oxygen saturation. Therefore, it has the potential for noninvasive monitoring of cerebral ischemia. However, there is still a lack of reliable physiological information on the relationship between the concentrations of OxyHb and DeoHb in cerebral blood and the exact hypoxic state of brain cells under cerebral ischemia. In this study, we describe a wireless multichannel NIRS system, which we designed to noninvasively monitor the relative concentrations of OxyHb and DeoHb in bilateral cerebral blood before, during, and after middle cerebral artery occlusion. By comparing the results with the lactate/pyruvate ratio measured by microdialysis, we investigated the correlation between the relative concentrations of OxyHb and DeoHb in cerebral blood and the hypoxic state of brain cells. The results showed that the relationship between the concentration changes of DeoHb in cerebral blood and the hypoxic state of brain cells was significant. Therefore, by monitoring the changes in concentrations of DeoHb, the wireless NIRS can be used to estimate the hypoxic state of brain cells indirectly.en_US
dc.language.isoen_USen_US
dc.subjectCerebra ischemiaen_US
dc.subjecthypoxic stateen_US
dc.subjectmicrodylasisen_US
dc.subjectnear-infrared spectroscopy (NIRS)en_US
dc.titleHypoxic-State Estimation of Brain Cells by Using Wireless Near-Infrared Spectroscopyen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JBHI.2013.2261310en_US
dc.identifier.journalIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICSen_US
dc.citation.volume18en_US
dc.citation.issue1en_US
dc.citation.spage167en_US
dc.citation.epage173en_US
dc.contributor.department影像與生醫光電研究所zh_TW
dc.contributor.departmentInstitute of Imaging and Biomedical Photonicsen_US
dc.identifier.wosnumberWOS:000329516400019-
dc.citation.woscount1-
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