Pub Date : 2009-11-13DOI: 10.1109/IEMBS.2009.5334604
J. P. Phillips, R. Langford, Serene H. Chang, K. Maney, P. Kyriacou, Deric P. Jones
This pilot investigation was undertaken to assess the performance of a novel fiber-optic cerebral pulse oximetry system. A fiber-optic probe designed to pass through the lumen of a cranial bolt of the type used to make intracranial pressure measurements was used to obtain optical reflectance signals directly from the brain tissue. Preliminary results from seven patients measured in the operating theatre and ITU are presented. Estimations of cerebral arterial oxygen saturation derived from a frequency domain-based algorithm are compared with pulse oximetry (SpO2) and hemoximeter (SaO2) blood samples. The mean (±SD) difference between cerebral oxygen saturation (ScaO2) and finger SpO2 (in saturation units) was -7.47(±3.4)%. The mean (±SD) difference between ScaO2 and blood SaO2 was -7.37(±2.8)%.
{"title":"Measurements of cerebral arterial oxygen saturation using a fiber-optic pulse oximeter","authors":"J. P. Phillips, R. Langford, Serene H. Chang, K. Maney, P. Kyriacou, Deric P. Jones","doi":"10.1109/IEMBS.2009.5334604","DOIUrl":"https://doi.org/10.1109/IEMBS.2009.5334604","url":null,"abstract":"This pilot investigation was undertaken to assess the performance of a novel fiber-optic cerebral pulse oximetry system. A fiber-optic probe designed to pass through the lumen of a cranial bolt of the type used to make intracranial pressure measurements was used to obtain optical reflectance signals directly from the brain tissue. Preliminary results from seven patients measured in the operating theatre and ITU are presented. Estimations of cerebral arterial oxygen saturation derived from a frequency domain-based algorithm are compared with pulse oximetry (SpO<inf>2</inf>) and hemoximeter (SaO<inf>2</inf>) blood samples. The mean (±SD) difference between cerebral oxygen saturation (ScaO<inf>2</inf>) and finger SpO<inf>2</inf> (in saturation units) was -7.47(±3.4)%. The mean (±SD) difference between ScaO<inf>2</inf> and blood SaO<inf>2</inf> was -7.37(±2.8)%.","PeriodicalId":332020,"journal":{"name":"2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123339141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-08-01DOI: 10.1109/TAMD.2009.2029312
Ming Song, Yong Liu, Yuan Zhou, Kun Wang, Chunshui Yu, Tianzi Jiang
In the last few years, many studies in the cognitive and system neuroscience found that a consistent network of brain regions, referred to as the default network, showed high levels of activity when no explicit task was performed. Some scientists believed that the resting state activity might reflect some neural functions that consolidate the past, stabilize brain ensembles and prepare us for the future. Here, we modeled default network as undirected weighted graph and then used graph theory to investigate the topological properties of the default network of the two groups of people with different intelligence levels. We found that, in both groups, the posterior cingulate cortex showed the greatest degree in comparison to the other brain regions in the default network, and that the medial temporal lobes and cerebellar tonsils were topologically separations from the other brain regions in the default network. More importantly, we found that the strength of some functional connectivities and the global efficiency of default network were significantly different between the superior intelligence group and the average intelligence group, which indicates that the functional integration of the default network might be related to the individual intelligent performance.
{"title":"Default network and intelligence difference","authors":"Ming Song, Yong Liu, Yuan Zhou, Kun Wang, Chunshui Yu, Tianzi Jiang","doi":"10.1109/TAMD.2009.2029312","DOIUrl":"https://doi.org/10.1109/TAMD.2009.2029312","url":null,"abstract":"In the last few years, many studies in the cognitive and system neuroscience found that a consistent network of brain regions, referred to as the default network, showed high levels of activity when no explicit task was performed. Some scientists believed that the resting state activity might reflect some neural functions that consolidate the past, stabilize brain ensembles and prepare us for the future. Here, we modeled default network as undirected weighted graph and then used graph theory to investigate the topological properties of the default network of the two groups of people with different intelligence levels. We found that, in both groups, the posterior cingulate cortex showed the greatest degree in comparison to the other brain regions in the default network, and that the medial temporal lobes and cerebellar tonsils were topologically separations from the other brain regions in the default network. More importantly, we found that the strength of some functional connectivities and the global efficiency of default network were significantly different between the superior intelligence group and the average intelligence group, which indicates that the functional integration of the default network might be related to the individual intelligent performance.","PeriodicalId":332020,"journal":{"name":"2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127212571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tassaneewan Laksanasopin, C. Chin, Hannah Moore, Jennifer Wang, Y. K. Cheung, S. Sia
Point-of-care (POC) diagnostics have tremendous potential to improve human health in remote and resource-poor settings. However, the design criteria for diagnostic tests appropriate in settings with limited infrastructure are unique and challenging. Here we present a custom optical reader which quantifies silver absorbance from heterogeneous immunoassays. The reader is simple, low-cost and suited for POC diagnostics.
{"title":"Microfluidic point-of-care diagnostics for resource-poor environments","authors":"Tassaneewan Laksanasopin, C. Chin, Hannah Moore, Jennifer Wang, Y. K. Cheung, S. Sia","doi":"10.1117/12.816592","DOIUrl":"https://doi.org/10.1117/12.816592","url":null,"abstract":"Point-of-care (POC) diagnostics have tremendous potential to improve human health in remote and resource-poor settings. However, the design criteria for diagnostic tests appropriate in settings with limited infrastructure are unique and challenging. Here we present a custom optical reader which quantifies silver absorbance from heterogeneous immunoassays. The reader is simple, low-cost and suited for POC diagnostics.","PeriodicalId":332020,"journal":{"name":"2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130118138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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