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2008 International Conference on BioMedical Engineering and Informatics最新文献

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A New Combining Approach to Localizing the EEG Activity in the Brain: WMN and LORETA Solution 脑电活动定位的一种新的组合方法:WMN和LORETA方案
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.255
Rafik Khemakkhem, W. Zouch, A. Taleb-Ahmed, A. Hamida
{"title":"A New Combining Approach to Localizing the EEG Activity in the Brain: WMN and LORETA Solution","authors":"Rafik Khemakkhem, W. Zouch, A. Taleb-Ahmed, A. Hamida","doi":"10.1109/BMEI.2008.255","DOIUrl":"https://doi.org/10.1109/BMEI.2008.255","url":null,"abstract":"Estimation of cerebral electric activity from the scalp electroencephalogram EEG requires a solution to the EEG inverse problem. We propose a new approach which consists in combining two methods in order to locate the brain electric activity: 'Weighted Minimum Norm' 'WMN' and 'LOw Resolution brain Electromagnetic TomogrAphy' 'LORETA'. The idea that we propose is to used the current density distribution estimated by the WMN method in order to initialize the LORETA method. A comparative study of three different inverse methods, WMN, LORETA and WMN-LORETA is presented. We compare the results found with existing methods LORETA and WMN. The results reveal that WMN-LORETA is able to reconstruct a three-dimensional source distribution with a degree of localization compared to the other methods.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115044842","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}
引用次数: 10
Blood Hemolysis of Implantable Artificial Lung 植入式人工肺的溶血
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.105
Gi-Beum Kim, Mun-Yong Lee, Seol-Hee Jeon, Md. Mizanur Rahman, Min-Ho Kim, Seong-Jong Kim, I. Kim, Jin-Shang Kim, Hyung-Sub Kang, C. Hong
{"title":"Blood Hemolysis of Implantable Artificial Lung","authors":"Gi-Beum Kim, Mun-Yong Lee, Seol-Hee Jeon, Md. Mizanur Rahman, Min-Ho Kim, Seong-Jong Kim, I. Kim, Jin-Shang Kim, Hyung-Sub Kang, C. Hong","doi":"10.1109/BMEI.2008.105","DOIUrl":"https://doi.org/10.1109/BMEI.2008.105","url":null,"abstract":"The purpose of this study was to investigate the effect of multiple mechanical forces in hemolysis for usage as intravascular lung assist device. Specific attention was focused on the effect of membrane vibration. The results of experimental, PZT materials were used as an exciting system to improve efficiency of blood suitability of hollow fiber membrane for development of new intravascular lung assist device.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122433029","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}
引用次数: 0
Survival of Rats with N29 Brain Tumours after Irradiation with 5 or 15 Gy and Immunization with IFN-gamma Secreting Tumour Cells 5或15 Gy辐照和分泌ifn - γ的肿瘤细胞免疫后N29脑肿瘤大鼠的存活
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.345
B. Persson, Catrin Bauréus Koch, G. Grafström, C. Ceberg, P. Rosenschöld, B. Widegren, L. Salford
{"title":"Survival of Rats with N29 Brain Tumours after Irradiation with 5 or 15 Gy and Immunization with IFN-gamma Secreting Tumour Cells","authors":"B. Persson, Catrin Bauréus Koch, G. Grafström, C. Ceberg, P. Rosenschöld, B. Widegren, L. Salford","doi":"10.1109/BMEI.2008.345","DOIUrl":"https://doi.org/10.1109/BMEI.2008.345","url":null,"abstract":"Intra cerebral tumours were inoculated into the brain of Fischer-344 syngeneic rats. After one week they were treated with either 5 or 15 Gy of 60Co-gamma radiation. The first immunization was given 1 hour before the radiation treatment and then two more times with 14-day intervals. Immunization was performed with 3 times 106 radiation sterilized IFN-gamma secreting tumour cells (N29) injected intraperitoneally. Neither radiation therapy with 5 or 15 Gy nor immunization with N29 cells alone had any significant effect on the length of survival of N29 tumour bearing rats. But radiation therapy with 5 Gy combined with immunization with IFN-gamma secreting syngeneic N29 cells resulted in 63 % complete remissions and significantly (p < 0.05) increased survival for the tumour bearing rats. Corresponding combination with 15 Gy RT resulted in 50% complete remissions. There is a possibility of a synergistic effect by optimal combination of radiation therapy and immunization.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117010240","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}
引用次数: 3
Fuzzy Logic based Identification of Operator Functional States Using Multiple Physiological and Performance Measures 基于模糊逻辑的多生理和性能指标算子功能状态识别
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.181
Jianhua Zhang, Xing-Yu Wang, M. Mahfouf, D. Linkens
{"title":"Fuzzy Logic based Identification of Operator Functional States Using Multiple Physiological and Performance Measures","authors":"Jianhua Zhang, Xing-Yu Wang, M. Mahfouf, D. Linkens","doi":"10.1109/BMEI.2008.181","DOIUrl":"https://doi.org/10.1109/BMEI.2008.181","url":null,"abstract":"This paper assesses the operator functional state (OFS) based on a collection of psychophysiological and performance measures. Two types of adaptive fuzzy models, namely ANFIS (adaptive-network-based fuzzy inference system) and GA (genetic algorithm) based Mamdani fuzzy model, are employed to estimate the OFSs under a set of simulated process control tasks involved in an automation-enhanced cabin air management system (aCAMS). The adaptive fuzzy modelling procedures are described and then validated using real-life data measured from such a simulated human-machine process control system.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129587078","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}
引用次数: 13
Phase Locking Analysis of Motor Imagery in Brain-Computer Interface 脑机接口运动图像的锁相分析
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.51
Jianfeng Hu, Zhendong Mu, Jinli Wang
{"title":"Phase Locking Analysis of Motor Imagery in Brain-Computer Interface","authors":"Jianfeng Hu, Zhendong Mu, Jinli Wang","doi":"10.1109/BMEI.2008.51","DOIUrl":"https://doi.org/10.1109/BMEI.2008.51","url":null,"abstract":"Currently existing brain-computer interfaces (BCIs) extract feature vectors derived from amplitude information. However, they were not use the rich phase dynamics in the EEG. Phase synchronization was opposed to use for classification of motor imagery. In suitable time window, the electrodes of C3, C4 and central regions to match were selected and then Hilbert transform signal processing method was used for extracting the degree of phase synchronization between two electroencephalogram (EEC) signals by calculating the so-called phase locking value (PLV). The support vector machine (SVM) was used for classification of the motor imagery by a feature selection algorithm. It shows that the satisfactory results are obtained with single-trial accuracies of 92.5% and that synchronization differences between motor imagery depends upon frequency selection , length of data and electrode selection .","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128393027","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}
引用次数: 11
Texture Characteristics for Classification of the Ultrasonic Images of Roator Cuff Disease 旋袖疾病超声图像的纹理特征分类
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.260
M. Horng
{"title":"Texture Characteristics for Classification of the Ultrasonic Images of Roator Cuff Disease","authors":"M. Horng","doi":"10.1109/BMEI.2008.260","DOIUrl":"https://doi.org/10.1109/BMEI.2008.260","url":null,"abstract":"This article proposes a study on applied the texture analysis method to classify the different disease groups that are normal, tendon inflammation, calcific tendonitis and rotator cuff tear. The supraspinatus tendon is usually involved among above-mentioned diseases progression. Four texture analysis methods that texture feature coding method, gray-level cooccurrence matrix, fractal dimension and texture spectrum are used to extract features of tissue characteristic of supraspinatus tendon. The mutual information method is independently used to select powerful feature among four texture analysis method, further, the radial basis function network to classify the ones into the four disease group. Experimental results tested on 85 images reveal that the proposed system can achieves 84% accurate rate.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128673694","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}
引用次数: 1
Using Random Perturbation Method to Improve Efficacy Prediction of siRNA Sequences 随机扰动法改进siRNA序列疗效预测
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.8
Willard Frutiger, Jeremy Collins, Wei-Gang Hu
{"title":"Using Random Perturbation Method to Improve Efficacy Prediction of siRNA Sequences","authors":"Willard Frutiger, Jeremy Collins, Wei-Gang Hu","doi":"10.1109/BMEI.2008.8","DOIUrl":"https://doi.org/10.1109/BMEI.2008.8","url":null,"abstract":"Short interfering RNAs (siRNAs) can be used to silence gene expression. The potential application of this research opens the door for the development of the future generations of effective drugs. The question of how to design effective siRNAs is still under intense study. Our motivation is to improve the accuracy of the simple linear model studied in [1]. We propose a new random perturbation method that predicts most active siRNA candidates with high accuracy. The contribution of this paper is two-fold. First, we developed the random perturbation method which improved the prediction of siRNA sequence efficacy in [1]. Our method is easy to implement and runs efficiently. Second, we developed a new method; we named it alpha method that can linearly optimize different contributions from different weight sets.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130407880","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}
引用次数: 1
Classification Algorithm Based on Weighted SVMs and Locally Tuning kNN 基于加权支持向量机和局部调谐kNN的分类算法
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.17
Shubin Wang, Ping Ling, Xiangyang You, Ming Xu, Xiangsheng Rong
{"title":"Classification Algorithm Based on Weighted SVMs and Locally Tuning kNN","authors":"Shubin Wang, Ping Ling, Xiangyang You, Ming Xu, Xiangsheng Rong","doi":"10.1109/BMEI.2008.17","DOIUrl":"https://doi.org/10.1109/BMEI.2008.17","url":null,"abstract":"This paper presents a new classification algorithm consisting of a Weighted SVMs approach (WSVM) to identify data class, and a locally Tuning kNN (TkNN) to address the rejected case. Basic SVM of WSVM is equipped with weights derived from SVM output distribution to demonstrate decision confidence. These weights influence label assignment. TkNN handles the difficult cases rejected by WSVM. It works in the neighborhood that is developed by a locally informative metric. SVM decision interfaces helps to define the new metric. Hyper parameters of basic SVM are learned context dependently. We present experimental evidence of classification performance improved by our schema over state of the arts.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123889064","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}
引用次数: 3
Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation 基于纹理特征的自动种子区域生长腹部MRI分割
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.352
Jie Wu, Skip Poehlman, M. Noseworthy, M. Kamath
{"title":"Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation","authors":"Jie Wu, Skip Poehlman, M. Noseworthy, M. Kamath","doi":"10.1109/BMEI.2008.352","DOIUrl":"https://doi.org/10.1109/BMEI.2008.352","url":null,"abstract":"A new texture feature based seeded region growing algorithm is proposed for the automated segmentation of organs in Abdominal MR image. Co-occurrence texture feature and semi-variogram texture feature are extracted from the image and the seeded region growing algorithm is run on these feature spaces. With a given Region of Interest(ROI), a seed point is automatically picked up based on three homogeneity criteria. A threshold is then obtained by taking a lower value just before the one causing 'explosion'. This algorithm is tested on 12 series of 3D abdominal MR images.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123480998","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}
引用次数: 95
NutriGeneOntology: A Biomedical Ontology for Nutrigenomics Research 营养基因组学:用于营养基因组学研究的生物医学本体
2008 International Conference on BioMedical Engineering and Informatics Pub Date : 2008-05-27 DOI: 10.1109/BMEI.2008.315
A. Fabregat, María Arregui, E. Barrera, O. Portolés, D. Corella, Ó. Coltell
{"title":"NutriGeneOntology: A Biomedical Ontology for Nutrigenomics Research","authors":"A. Fabregat, María Arregui, E. Barrera, O. Portolés, D. Corella, Ó. Coltell","doi":"10.1109/BMEI.2008.315","DOIUrl":"https://doi.org/10.1109/BMEI.2008.315","url":null,"abstract":"Currently, in Nutritional Genomics it is crucial to have computing models and solutions and technological platforms in order to support acquisition, storage, management and presentation of all the information generated. Our aim is to build a biomedical ontology in order to formalise and integrate genomic, environmental and phenotypic data applied to Nutritional Genomics research focused on cardiovascular diseases and related phenotypes. Four different food composition tables have been employed to estimate the amount of nutrients provided by the diet. Web engineering technologies have been applied for constructing the Web platform containing the ontology, which integrates three distinct ontologies offering the corresponding models and services: food composition table alignment, gene-environment interaction, and cardiovascular risk estimation.","PeriodicalId":138702,"journal":{"name":"2008 International Conference on BioMedical Engineering and Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065125","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}
引用次数: 5
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