{"title":"Prediction of five-class finger flexion using ECoG signals","authors":"A. Elghrabawy, M. Wahed","doi":"10.1109/CIBEC.2012.6473300","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473300","url":null,"abstract":"Brain Computer Interface (BCI) is one of the clinical applications that might restore communication to people with severe motor disabilities. Recording and analysis of electrophysiological brain signals is the base of BCI research and development. Electrocorticography (ECoG) is an invasive record to brain signals from electrode grids on the surface of the brain. ECoG signal makes possible localization of the source of neural signals with respect to certain brain functions due to its high spatial resolution. This study is a step towards exploring the usability of ECoG signals as a BCI input technique and a multidimensional BCI control. Signal processing and classification were validated to predict kinematic parameters for five-class finger flexion. The signal is provided by ECoG dataset from BCI competition IV. For features extraction we used shift invariant wavelet decomposition and multi-taper frequency spectrum. Multilayer perceptron and pace regression were used for classification. Results show that the predicted finger movement is highly correlated with movement states.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129754517","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":"A hybrid compression technique for segmented hand veins using quad tree decomposition","authors":"Mohamed N. Saad, A. Kandil","doi":"10.1109/CIBEC.2012.6473292","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473292","url":null,"abstract":"Biometrics are techniques for automatically identifying and authenticating an individual based on his physiological or behavioral characteristics. Hand vein is one of the biometric modalities. Hand vein check measures the shape and size of veins in the back of the hand in a grayscale image. In this paper, hybrid compression technique is applied on ninety hand vein images. This hybrid technique is combining the advantages of lossless techniques and lossy techniques. Only the essential information is selected and compressed using lossless technique, and nonessential information is compressed using lossy technique. The observed parameters are compression ratio (CR), total compression time (TCT), mean square error (MSE), and peak signal to noise ratio (PSNR). The goal is to maximize the CR while preserving images' information. This is acheived using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process. Applying the hybrid technique on the dataset images results in a CR in the range of 89.56%.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128729871","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":"Modeling and simulation of the cardiovascular system for healthy subjects under physical stress","authors":"Mohamed A. Abbass, Emad ElSamahy, A. Genedy","doi":"10.1109/CIBEC.2012.6473326","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473326","url":null,"abstract":"A cardiovascular (CV) model for healthy subjects under physical stress, based on luczak's first and second models, is presented in this paper. An actual (measured) heart rate (HR) and blood pressure (BP) signals for 12 healthy subjects were utilized for model identification. The pattern search method was employed to optimize the model output signals and to estimate the missing parameters. The output of the model was validated in frequency and time domains. Finally, the proposed cardiovascular model was found to be able to simulate the HR and BP signals for subjects under physical stress with a good accuracy and it could be used in medical or sport applications.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565115","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":"One dimensional solution for temperature distribution upon corneal surface during laser surgery","authors":"K. A. Joudi, S. Dawood, H. G. Nebras","doi":"10.1109/CIBEC.2012.6473309","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473309","url":null,"abstract":"In this paper the temperature distribution on the corneal surface is computed based on solving a one dimensional Bioheat equation analytically. The computation simplified the geometry into one dimensional form and considered natural convection (from aqueous humor) at the posterior and radiation (from laser source) boundary conditions with consideration of cooling due to evaporation at the anterior. The laser source used here was simplified as a spot of diameter 0.5mm with different frequencies (100Hz, 200Hz, 400Hz and 500Hz). Different temperature distribution forms have been investigated based on changing the boundary conditions. This lead to the fact that the temperature distribution on the papillary axis during laser source affects reshaping (ablating) the cornea thickness. Results show an increase in temperature of ablation with the increase of laser source frequencies. This may suggest a new prototype for increasing the frequency of laser source with the decreasing of energy per pulse (shot) of the laser source.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131280468","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":"2D PCA-based shape prior for level sets segmentation framework of the vertebral body","authors":"A. Shalaby, M. Aslan, H. Abdelmunim, A. Farag","doi":"10.1109/CIBEC.2012.6473317","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473317","url":null,"abstract":"In this paper, a novel statistical shape modeling method is developed for the vertebral body (VB) segmentation framework. Two-dimensional principle component analysis (2D-PCA) technique is exploited to extract the shape prior. The obtained shape prior is then embedded into the image domain to develop a new shape-based segmentation approach. Our framework consists of four main steps: i) shape model construction using 2D-PCA, ii) Detection of the VB region using the Matched filter, iii) Initial segmentation using the graph cuts which integrates the intensity and spatial interaction models, and iv) Registration of the shape prior and initially segmented region to obtain the final segmentation. The proposed method is validated on a Phantom as well as clinical CT images with various Gaussian noise levels. The experimental results show that the noise immunity and the segmentation accuracy of 2D-PCA based approach are much higher than conventional PCA approach.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115880714","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":"Whole-hands multiple-instances finger vein biometric system","authors":"H. N. Mohamed, E. A. El-Alamy, M. K. Shahin","doi":"10.1109/CIBEC.2012.6473310","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473310","url":null,"abstract":"This paper introduces a discipline to improve the finger vein biometric system accuracy and performance by incorporating multiple finger vein patterns for each person. Instead of just a single finger, we acquired 2 fingers from the right hand and 2 from the left hand to represent a single identity. Firstly, each finger region was segmented then the vein tree for each finger was extracted using maximum curvature points in image profiles. The binary vein pattern for each single finger was matched using the phase only correlation (POC) technique. The score level fusion methodologies were used to obtain a single decision from multiple finger vein patterns belonging to a single identity. The designed system can be considered for authentication and identification purposes. Advantages of this system over few existing multimodal systems are its being very hard to spoof attacks on the sensory level and the NIR FV thermal images are good signals for liveness detection and ensuring.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115883628","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}
I. A. Fouad, F. Z. M. Labib, A. Sharawy, M. Mabrouk
{"title":"Developing a new methodology for de-noising and gridding cDNA microarray images","authors":"I. A. Fouad, F. Z. M. Labib, A. Sharawy, M. Mabrouk","doi":"10.1109/CIBEC.2012.6473329","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473329","url":null,"abstract":"DNA Microarray is an innovative tool for gene studies in biomedical research, and its applications can vary from cancer diagnosis to human identification. In microarray experiment, the gene expression process is divided into three basic steps: gridding, segmentation, and quantification. For processing of microarray images, a new, automatic, fast and accurate approach is proposed for gridding noisy cDNA microarray images. In the real world, microarray image doesn't reflect measures of the fluorescence intensities for the dye of interest only, as different kinds of noise and artifacts can be observed. In this paper, a novel gridding method based on projection is developed accompanied by a preprocessing, post-processing, and refinement steps for noisy microarray images. Results revealed that the proposed method is used with high accuracy and minimal processing time and can be applied to various types of noisy microarray images.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286962","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":"Band-limited histogram equalization for mammograms contrast enhancement","authors":"N. Elsawy, M. Sayed, F. Farag, G. Gouhar","doi":"10.1109/CIBEC.2012.6473335","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473335","url":null,"abstract":"Early detection of breast cancer is the most effective method of reducing mortality. Mammography is at present the best available technique for early detection of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and calcifications. In mammograms, cancer is not easily detected by the eyes because of the bad imaging quality. To improve the correct diagnosis rate of cancer, image-enhancement techniques are often used to enhance the image and aid the radiologists. In this paper, we introduce a new algorithm for mammograms contrast enhancement. The proposed algorithm performs band-limited histogram equalization (BLHE) for certain intensity band of the mammogram histogram. According to the opinion of radiologist, the proposed algorithm showed promising performance when applied on several mammography images. In addition, the proposed algorithm was combined with a wavelet-based contrast enhancement method to further improve its performance.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130326908","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":"Improving operating theatre design using facilities layout planning","authors":"M. Assem, B. K. Ouda, M. Wahed","doi":"10.1109/CIBEC.2012.6473314","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473314","url":null,"abstract":"Operating theatre (OT) is one of the most critical departments within the hospital. In developing countries, no allocation of sufficient areas for OT, that results in sharing of many services in the same area while ignoring others. Facilities layout planning (FLP) is widely used in industrial engineering for designing block layout plans as it considers the assignment of services to the proper locations. Hence, FLP can solve management and hospital design problems, reduce nursing staff effort and improve overall healthcare environment. The problem presented in this study is an optimization one, which maximizes the subjective closeness rating between different services in the OT considering international standards. Some heuristic approaches have been developed for solving FLP problem; the most successful were based on graph theoretic concepts. This paper proposes a solution by generating an OT layout design based on the graph theoretic approach. It is divided into two sub-problems; the first one is the adjacency problem that defines the desirability of locating pair of spaces adjacent to each other. The second one is the block layout problem which was solved by using manual traditional qualitative technique (the spiral technique). The output of the technique was several possible designs and a layout score that was calculated for each design. This allows for selecting the most appropriate design for each end user. Computing the layout score, before and after reallocation of the OT spaces, resulted in an increase by 18.5% in the first hospital. For the second hospital, more services had to be added in addition to the reallocation process, this resulted in an increase in the layout score by 45%.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409634","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":"Performance evaluation of linear brain machine interface decoders in neural state space","authors":"Islam S. Badreldin, K. Oweiss","doi":"10.1109/CIBEC.2012.6473323","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473323","url":null,"abstract":"Brain-Machine Interfaces (BMIs) have the potential to restore lost sensorimotor functions in people with severe motor disabilities. Several BMI decoding strategies have been suggested to translate activity of motor neurons into control signals that ac-tuate artificial devices. Among these, the class of linear decoders, particularly Wiener filters, is known to perform well for simple tasks, but degrades considerably as a function of increasing task complexity. In this work, we study the mathematical properties of the solution subspace of Wiener decoders in an effort to derive a desired neural state trajectory that is optimal for a given decoder and a desired biomimetic kinematic solution. We show that the error between the desired neural trajectory and the actual one measured during the performance of a 2D reach task provides reliable estimation and prediction of the performance in the task space. We demonstrate a significant correlation between the error measure in the neural state space and the error measure in the task space, which allows potential future use of this error measure as a way to estimate the true motor intent and the extent of learning the decoder by BMI subjects, and possibly as a feedback signal to improve their online decoding performance.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125953535","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}