2008 Cairo International Biomedical Engineering Conference最新文献

A High Resolution Interferometric Fiber-Optic Temperature Sensor "FOTS" 一种高分辨率干涉式光纤温度传感器

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786071

T. Elsarnagawy

{"title":"A High Resolution Interferometric Fiber-Optic Temperature Sensor \"FOTS\"","authors":"T. Elsarnagawy","doi":"10.1109/CIBEC.2008.4786071","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786071","url":null,"abstract":"This paper introduces an application of a single-mode optical fiber as a temperature sensor. The application is based on the Michelson-interferometer principle. A single mode optical fiber of several meters is loosely wound around a foam cylinder. The interferometric principle used in this work gives the advantage of having the output directly as a digital readout after converting it into electrical signal. The detected number of counts (fringes) directly represents the increase or decrease in temperature. The output of the fiber optic sensor is compared to that of a semiconductor temperature sensor gauge. The correlation between the two sensors is presented. Results from the fiber optic sensor introduced within this article show high sensitivity in the range of 52middot10-4degC, stability and reproducibility. Finally, the obtained sensitivity proved to be very high compared to other techniques used in most published articles of fiber optic temperature sensors. In addition to the high sensitivity the FOTS introduced in this work is versatile and may serve many applications where temperature plays an important role and very small fluctuations have to be registered.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115463458","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

Computer-Aided Detection of Benign Tumors of the Female Breast 女性乳腺良性肿瘤的计算机辅助检测

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1097/JCE.0b013e31827c3585

M. D. El-Sanosi, A. Habbani, N. Mustafa, A. Hamza

{"title":"Computer-Aided Detection of Benign Tumors of the Female Breast","authors":"M. D. El-Sanosi, A. Habbani, N. Mustafa, A. Hamza","doi":"10.1097/JCE.0b013e31827c3585","DOIUrl":"https://doi.org/10.1097/JCE.0b013e31827c3585","url":null,"abstract":"Breast cancer is considered one of the leading causes of women mortality in the world. The key to improving breast cancer is the early diagnosis of tumors through the use of mammography. Screen-film mammography (SFM) is the most commonly used method in Sudan for the detection of breast cancer. However, SFM has limitations due to the variability among screening radiologists in interpreting mammographic images. In order to overcome these limitations, digital mammography (DM) was introduced. An intelligent computer-aided detection (CAD) system can be very helpful for radiologist in detecting and diagnosing benign tumors earlier and faster than typical screening programs. In this study, a data set of 10 digital mammograms containing benign tumors was presented to four radiologists for diagnosis in order to prove the variability between them. Then, we investigated several statistical features and their combinations in order to determine the best combination for diagnosis. We found that a combination of the mean and median in a MATLAB algorithm is the best combination for mammographic benign tumor detection. Results demonstrate that the CAD algorithms showed more sensitivity than the radiologists in terms of diagnosing benign tumors in digital mammograms.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080324","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: 6

BioSNI: A Semantic Network Integration Approach for Biological Data 生物sni:生物数据的语义网络集成方法

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786048

T. Soliman

引用次数: 0

Establishing an Accredited Medical Equipment Calibration Laboratory 建立认可医疗设备校正实验所

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786109

M. Wahed, S. Samy, M. Montaser

引用次数: 2

Development of Anatomically Realistic Whole-Body Models of Children and their Use in Electromagnetic Dosimetry 解剖逼真的儿童全身模型的发展及其在电磁剂量学中的应用

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786110

T. Nagaoka, S. Watanabe

{"title":"Development of Anatomically Realistic Whole-Body Models of Children and their Use in Electromagnetic Dosimetry","authors":"T. Nagaoka, S. Watanabe","doi":"10.1109/CIBEC.2008.4786110","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786110","url":null,"abstract":"Recently, there has been an increased concern regarding the effects of electromagnetic radiation emanating from wireless communication devices on the health of children. In order to determine safe levels of exposure, we intend to use computer simulations and numerical human models to estimate the specific absorption rate (SAR) in young children. However, only a few of the existing numerical models of young children are of the same quality and resolution as anatomically realistic adult models. Therefore, for accurate dosimetry in young children, we have developed anatomically realistic whole-body models using MRI data obtained from healthy three- and seven-year-old volunteers. Our model has a resolution of approximately 2 mm and is segmented into approximately 50 tissues and organs. First, we performed semiautomatic approximate segmentation using an image segmentation tool. Then, detailed segmentation was manually performed by health professionals. Finally, the positions and shapes of the segmented tissues were verified by a pediatric radiologist. The quality of our models is equal to or higher than that of adult models. Our models can be used to perform highly precise numerical simulations for studies on children. In this paper, we also present the basic SAR characteristics of our models at VHF/UHF frequencies.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"167 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120871758","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: 8

Study of Nerve Fiber Tracking Methodologies using Diffusion Tensor Magnetic Resonance Imaging 神经纤维追踪方法的扩散张量磁共振成像研究

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786051

M.M. Tawfik, Y. Kadah

引用次数: 1

VLSI Synthesis of Heterogeneous and SIRM Fuzzy System for Classification of Diabetic Epilepsy Risk Levels 糖尿病癫痫危险等级分级的异构和SIRM模糊系统的VLSI综合

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786062

R. Harikumar, A. Shanmugam, P. Rajan

引用次数: 3

Digital Color Doppler Signal Processing 数字彩色多普勒信号处理

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786035

R. H. Gabr, Y. Kadah

{"title":"Digital Color Doppler Signal Processing","authors":"R. H. Gabr, Y. Kadah","doi":"10.1109/CIBEC.2008.4786035","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786035","url":null,"abstract":"In Color Doppler ultrasound imaging system, digital signal processing is mainly based on Hilbert filter and Clutter rejection filters. Hilbert filter is used to filter out the negative frequency component of the real Doppler signal to produce the analytic signal. Clutter rejection filter are used to filter out the low frequency unwanted tissue signals for measurement of the low velocity blood flow. In this paper, two methods for designing a Hilbert filter are implemented. One of these methods is based on shifting sinc function and the other method is window based. In addition, clutter filters are designed using different types of FIR and IIR design methods. The magnitude response of each of the different designed filters is plotted to select the best filter design with the minimum order that reject clutter signals. The assessment is based on the magnitude response specifications. The Hilbert filters results show that the first method is better than other method. The clutter rejection filters results show that IIR filters offer significantly better performance than FIR at the same order. The FIR requires higher order to achieve comparable narrow transition band to IIR. For IIR; Chebyshev II and elliptic types show the best clutter rejection filters.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123954589","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 of the Imagination of the Left and Right Hand Movements using EEG 用脑电图对左手和右手运动想象的分类

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786098

Mohammed A. Hassan, A. F. Ali, M. Eladawy

{"title":"Classification of the Imagination of the Left and Right Hand Movements using EEG","authors":"Mohammed A. Hassan, A. F. Ali, M. Eladawy","doi":"10.1109/CIBEC.2008.4786098","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786098","url":null,"abstract":"Brain-computer interface (BCI) is a new and promising area of research which is assumed to help in solving a lot of problems especially for handicapped people. Detection of the imagination of the left and right hand movements can be used to control a wheelchair accordingly. Fortunately, modification of the brain activity caused by the imagination of the left or right hand movements is similar to the modification observed from a real left or right hand movements. The electrical activity of these modifications can be picked up from scalp electroencephalogram electrodes. In this work, we introduce a new method to detect and classify the imagination of the left and/or right hand movements. This method is based on exploring the time domain information in both alpha and beta rhythms using complex Morlet wavelet transform. Then, the fast Fourier transform is applied to explore the frequency domain information. The extracted features using both time and frequency domain information are then reduced using a feature subset selection algorithm. Then, the reduced features were fed into a multilayer backpropagation neural network to classify left from right hand movement imagination. The experimental results showed that the algorithm has reveals classification accuracy rates ranges from 97.77% to 100%, which are superior to the classification accuracy rates compared to other techniques.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130084905","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: 18

Gait Modeling for Assessment of Ankle-Foot Orthosis 评估踝足矫形器的步态建模

2008 Cairo International Biomedical Engineering Conference Pub Date : 2008-12-01 DOI: 10.1109/CIBEC.2008.4786090

N. Jamshidi, M. Rostami, S. Najarian, M. Menhaj, M. Saadatnia, A. Farzad

引用次数: 6