Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine最新文献

{"title":"Technical program","authors":"L. Lhotská, Andreas Ioannides, Mi-Young Kim, R. Goebel, K. Poulas, A. Tsakalidis, Giannis Tzimas, Emmanouil Viennas, S. Tsevas, D. Iakovidis, Yuan-Ting Zhang, Nenad Filipovic, O. Parodi, S. Golemati","doi":"10.3208/jgssp.v04.program","DOIUrl":"https://doi.org/10.3208/jgssp.v04.program","url":null,"abstract":"","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235360","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}

{"title":"EEG discrimination using wavelet packet transform and a reduced-dimensional recurrent neural network","authors":"N. Bu, K. Shima, T. Tsuji","doi":"10.1109/ITAB.2010.5687668","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687668","url":null,"abstract":"This paper proposes a novel reduced-dimensional recurrent neural network (NN) for electroencephalography (EEG) discrimination. Due to time-varying characteristics of EEG signals, recurrent NN is a useful approach for EEG pattern discrimination. However, when dealing with high-dimensional data, NNs usually have problems of heavy computation burden and difficulty in training. To overcome these problems, the proposed NN incorporates a dimension-reducing stage into the network structure of a recurrent probabilistic NN. Moreover, an EEG discrimination method is developed using wavelet packet transform (WPT) and the proposed NN. EEG discrimination experiments were conducted with EEG signals measured during finger movements. The experimental results of four subjects indicate that the proposed method can achieve relatively high discrimination performance.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132671830","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}

{"title":"Computer model and clinical relevance of abdominal aorta aneurysm with compliant nonlinear material wall","authors":"V. Isailović, I. Končar, D. Veljković, D. Milasinovic, D. Nikolić, M. Marković, L. Davidovic, M. Kojic, N. Filipovic","doi":"10.1109/ITAB.2010.5687681","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687681","url":null,"abstract":"In the abdominal segment of the human aorta under a patient's average resting conditions, pulsatile blood flow exhibits complex laminar patterns with secondary flows induced by adjacent branches and irregular vessel geometries. The hyperelastic material model of aorta wall should be taken into account. Prediction of influence of dynamic blood flow on natural history of aneurysmatic disease and outcome of therapeutic procedures could contribute to treatment strategy and results. In this study we examined fluid-structure interaction of pulsatile blood flow in the specific patient three-dimensional model of abdominal aortic aneurysms (AAAs). Numerical predictions of blood flow patterns and nonlinear wall stresses in AAAs are performed in compliant wall isotropic model using the finite element method.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115459241","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}

{"title":"Numerical modeling of fluid-structure interaction of the carotid artery based of experimental stress-stretch curves","authors":"N. Zdravković, M. Kojic, M. Rosic, N. Filipovic","doi":"10.1109/ITAB.2010.5687678","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687678","url":null,"abstract":"In this study fluid-structure interaction for the carotid artery based on the experimental stress-stretch curves is presented. Experimental determination of carotid artery properties by using strips of human carotid artery is firstly performed. The strips were taken in the longitudinal and in the circumferential directions assuming that the carotid artery wall has the orthotropic characteristics. The material was subjected to uniaxial tension and the stress-stretch curves were obtained for various rates of deformation. It was found that the rates do not have significant effects on the passive response of the material. We employed the measured non-linear stresss-tretch dependence to determine the coefficients in the analytical form of this dependence by a standard fitting procedure. Description of the numerical procedure, considering the carotid artery as a thin-walled shell structure subjected to blood pressure was given. Some results for the carotid artery model by solving coupled problem interaction between artery walls and fluid blood pressure are presented.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854464","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}

{"title":"Temporal Logic Bounded Model-Checking for recognition of activities of daily living","authors":"T. Magherini, G. Parente, C. Nugent, Mark P. Donnelly, Enrico Vicario, F. Cruciani, C. Paggetti","doi":"10.1109/ITAB.2010.5687608","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687608","url":null,"abstract":"Recognition and monitoring of activities of daily living is a key challenge in the construction of Smart Living environments aimed at supporting independence of elderly or disabled people. In this challenge, there is an opportunity for formal methods to play a crucial role in filling the gap between low-level measurements acquired by monitoring systems and high-level concepts that are required for the purposes of decision-support. In this work we propose the application of Temporal Logic and Bounded Model Checking as a way to capture patterns of sequenced activities and recognize them in a stream of observed low-level actions. This approach effectively accommodates for the problems of non-deterministic sequencing and interleaved activities. Results of the implementation and lab-experimentation of the proposed system are presented with reference to the case study within a smart kitchen equipped with stereoscopic camera devices.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811587","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}

{"title":"Data analysis of Genome-Wide Association studies (GWAS) concerning rheumatoid arthritis and multiple sclerosis","authors":"K. Nikolaou, F. Kalatzis, N. Giannakeas, T. Exarchos, S. Markoula, I. Georgiou, D. Fotiadis","doi":"10.1109/ITAB.2010.5687817","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687817","url":null,"abstract":"In this study the methodology of analyzing the data produced from Genome Wide Association Studies (GWAs) is presented, using appropriate techniques and software packages. The analytical process is applied to Rheumatoid Arthritis (RA) and Multiple Sclerosis (MS) data sets produced by experimental microarray assays. The purpose of the process aims to the filtering of the datasets in order to derive and define statistically significant genetic variants associated with each one of the diseases. Furthermore, the analysis is expanded using the Multifactor Dimensionality Reduction (MDR) data mining strategy. Using MDR we are reducing the dimensionality of the genotyped predictive factors from n-dimensions to one-dimension by characterizing the genotypes of the different locus as high-risk and low-risk. In this way, we can provide risk predictive models about the diseases' susceptibility and the methodology is further extended by adding clinical and environmental factors to the RA and MS genomic loci data. The methodology presented in this study aims to transform the analytical genomic datasets produced by microarray experiments to a knowledge modeling framework constituted of prognostic/diagnostic decision rules and risk predictive factors. Finally, the evaluation methodology of the MDR data mining strategy is presented.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740780","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}

{"title":"Wavelet and physical parametric analysis of the AcetoWhitening optical effect: Comparative evaluation of performances in non-invasive diagnosis of cervical Neoplasia","authors":"Vanesa Margariti, M. Zervakis, C. Balas","doi":"10.1109/ITAB.2010.5687609","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687609","url":null,"abstract":"The quantitative assessment of the dynamic scattering characteristics associated with the Aceto-Whitening (AW) effect provides a powerful tool for the in vivo detection, grading and mapping of cervical neoplasia. In this study we perform wavelet analysis of the in vivo measured Intensity of the Backscattered Light (IBSL) vs. time curve with the purpose of improving the diagnostic performance of the method. The performance of the Wavelet analysis is comparatively evaluated with the classification performed with the aid of the area under the IBSL vs. time curve parameter (BS-AUC). A total of 371 Intensity of the Back Scattered Light (IBSL) vs. time curves corresponding to 73 tissue points obtained from 64 patients, that have been subsequently biopsied were used for developing and for evaluating the performance of the method. The data set included cases with No Evidence for Disease (NED), Inflammation, HPV, Cervical Intraepithelial Neoplasia (CIN) grade 1, 2, 3 and Cancer cases. Wavelet transformation combined with a 1-Nearest Neighbor (NN) classifier was used for the first time for classifying the IBSL vs. time curves. The clinical data set was selected from a larger sample with the selected subset to include only cases classified in full agreement between all standard methods (pap-test, colposcopy, histology). This was done for the purpose of establishing a trustful training set and for facilitating comparison between different methods. It was found that both methods display similar performance in identifying (histology confirmed) high grade curves, with sensitivities and specificities exciding 90%. The sensitivity of the wavelet method varies between 63%–85% and the specificity between 94%–97% referring to distinguishing each class from all the other classes. Another important finding of this study is that each method misclassifies different cases, which indicate that their combination, in a data fusion scheme, would further improve the diagnostic performance of the dynamic optical imaging method.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842183","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}

{"title":"The use of Cartesian k-space sampling techniques for high quality 3D time-resolved imaging of the cardiovascular system","authors":"S. Riederer, C. Johnson, P. Mostardi","doi":"10.1109/ITAB.2010.5687805","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687805","url":null,"abstract":"Due to its high prevalence, it is critical to diagnose and characterize cardiovascular disease. Methods are described for generating 3D time-resolved contrast-enhanced MR angiograms of multiple vascular territories of the body. Previously it has been challenging to create images having the desired spatial resolution (e.g. 1 mm isotropic) because the acquisition time necessary was longer than the arterial phase of the contrast-enhanced blood. In this work it is shown that order of magnitude acceleration is possible through the combination of 2D sensitivity encoding, homodyne processing, and view sharing. Special purpose receiver coil arrays are also used which retain high SNR. In vivo results are presented to illustrate the general applicability of the method.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125169599","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}

{"title":"Towards fast and reliable candidate peptide indexing for Tandem Mass Spectrometry data","authors":"R. Kuzyakiv, M. Muller, F. Beekkof, F. Nikitin, F. Lisacek, S. Voloshynovskiy","doi":"10.1109/ITAB.2010.5687723","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687723","url":null,"abstract":"Many algorithms for protein and peptide identification from Tandem Mass Spectrometry (MS/MS) data have been published. The majority of such methods are based on sequence or spectral database search: experimental spectra are matched to theoretical spectra characterizing known peptide sequences. Hits define candidate peptides. In this context, the development of reliable candidate peptide indexing and ranking techniques for accelerated pre-processing of large datasets still remains a challenge.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400711","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}

{"title":"Investigation of the spatial spectrum of cortical contours on cross-sections of the brain","authors":"U. Graichen, R. Eichardt, D. Gullmar, J. Haueisen","doi":"10.1109/ITAB.2010.5687623","DOIUrl":"https://doi.org/10.1109/ITAB.2010.5687623","url":null,"abstract":"The human brain possesses a highly structured surface. A quantitative examination of the cortical surface is of particular interest for many questions, e.g. the investigation the relation between the spatial frequencies of cortical surfaces and spatial frequencies within Electroencephalogram and the analysis of changes of the structure of the human brain caused by diseases.","PeriodicalId":188447,"journal":{"name":"Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125579575","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}