2018 9th Cairo International Biomedical Engineering Conference (CIBEC)最新文献

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Arthro-Glove a Hybrid Bionic Glove for patients diagnosed with Arthritis, ALS and/or Dysmorphia 关节-手套:用于诊断为关节炎,ALS和/或畸形的患者的混合仿生手套
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641831
Alain Aoun, Anthony Iliovits, A. Kassem, Patrick Sakr, N. Metni
{"title":"Arthro-Glove a Hybrid Bionic Glove for patients diagnosed with Arthritis, ALS and/or Dysmorphia","authors":"Alain Aoun, Anthony Iliovits, A. Kassem, Patrick Sakr, N. Metni","doi":"10.1109/CIBEC.2018.8641831","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641831","url":null,"abstract":"This paper presents a portable, assistive, soft robotic glove designed to augment hand rehabilitation for individuals with arthritis disease or any other hand debilitating disease. The robotic glove utilizes soft glove reinforcement with stainless-steel wires that get driven by a set of stepper motors. These wires are located on the palmar side of the hand. They are embedded within the glove which makes the glove very thin and ergonomic. The actuation induces specific bending, twisting and extending trajectories that cope with the finger shape. The system is mechanically programmed to match and support the range of motion of individual fingers for each individual customer.Compared to existing devices, the soft robotic glove has the potential to increase user freedom and independence through its portable waist battery pack and compatibility design for both “Soft” and “Hard” states.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124127824","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
Hybrid RID Network for Efficient Diagnosis of Tuberculosis from Chest X-rays 从胸部x光片有效诊断肺结核的混合RID网络
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641816
Rabia Rashid, S. G. Khawaja, M. Akram, A. Khan
{"title":"Hybrid RID Network for Efficient Diagnosis of Tuberculosis from Chest X-rays","authors":"Rabia Rashid, S. G. Khawaja, M. Akram, A. Khan","doi":"10.1109/CIBEC.2018.8641816","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641816","url":null,"abstract":"Technology nowadays is revolving around intelligent systems that mimic the learning capability of human brain. These systems learn, adapt, act and make decisions autonomously instead of just executing predefined programmed instructions. This paper presents such intelligent computer-aided diagnostic (CAD) system, named as RID network, that learns how to distinguish between normal and Tuberculosis (TB) infected radiograph. Such systems can help reducing TB epidemic as it is a curable disease and early diagnosis is a critical step towards its prevention and cure. The proposed CAD system is an ensemble created by feature-level fusion of three deep neural network models: ResNet, Inception-ResNet and DenseNet. The models were used as feature extractors and support vector machine (SVM) was used as a classifier. The methodology was tested on publically available Shenzhen dataset, which was randomly split into a 90:10 ratio as training and testing set respectively. The process was repeated 10 times with random split data to calculate the average accuracy. The algorithm achieved 90.5% average accuracy that is among top accuracies achieved till date and hence, proved its robustness and competence.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127890446","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
The Usage of Noninvasive Bioimpedance Analysis in Detecting the Aneurysms in Blood Vessels 无创生物阻抗分析在血管动脉瘤检测中的应用
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641828
Yomna H. Shash, A. A. Mohamed Eldosoky, M. Elwakad
{"title":"The Usage of Noninvasive Bioimpedance Analysis in Detecting the Aneurysms in Blood Vessels","authors":"Yomna H. Shash, A. A. Mohamed Eldosoky, M. Elwakad","doi":"10.1109/CIBEC.2018.8641828","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641828","url":null,"abstract":"Bio impedance analysis is a commonly used method for detecting various body diseases. Vascular diseases are the disorders infect the blood vessels (arteries and veins), e.g. stenosis, occlusion, aneurysms, clots, hypertension, embolism, etc. The weakness in vessel wall causes the wall to be swollen, forming the aneurysm. Small aneurysms are not dangerous but at their severe phase, some may rupture, leading to internal bleeding. This paper presents proposed method for detecting the aneurysms in blood vessel by using noninvasive bioimpedance analysis. In this paper, mathematical models and finite element model are presented to describe the aneurysm and its effect on vessel impedance. The simulation results clarify the ability of bioimpedance analysis in detecting the aneurysms with different kinds and sizes. Moreover, the mathematical models are succeeding in describing different cases of vessel aneurysm.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098584","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
Gait Rhythm Fluctuations Assessment for Neurodegenerative Patients 神经退行性患者步态节律波动评估
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641764
Rana Hossam Elden, W. Al-Atabany, V. F. Ghoneim
{"title":"Gait Rhythm Fluctuations Assessment for Neurodegenerative Patients","authors":"Rana Hossam Elden, W. Al-Atabany, V. F. Ghoneim","doi":"10.1109/CIBEC.2018.8641764","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641764","url":null,"abstract":"Neurodegenerative diseases (NDDs) such as Parkinson’s disease (PD), Amyotrophic Lateral Sclerosis (ALS) and Huntington Disease (HD) are identified as the deterioration of motor neurons in human brain. These diseases would manipulate the strides from one gait cycle to another. Therefore, gait assessment can yield a significant approach for synthesizing a noninvasive technique to evaluate the effects of the neurological morbidness on the human gait dynamics and its variation with diseases. The present study explores the improvement of the classification capability by using nonlinear features with previously used linear features. Fisher score (FS) selection strategy has been used to get the optimal feature subset and the optimal gait time series for classifying NDD. Support vector machine (SVM) with radial basis kernel function (RBF) has been used to classify NDD patients against healthy control (CO) ones with an overall accuracy 95.31%.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126173031","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
Brain Computer Interface for smart living environment 智能生活环境的脑机接口
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641827
Judy Tabbal, Khaled Mechref, Wassim El-Falou
{"title":"Brain Computer Interface for smart living environment","authors":"Judy Tabbal, Khaled Mechref, Wassim El-Falou","doi":"10.1109/CIBEC.2018.8641827","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641827","url":null,"abstract":"Brain-computer interface (BCI) provides a pathway communication between human brain and computer system. Its main goal is to allow for non-muscular communication with external world, which may be the only way for patients in a locked-in state. In this paper, many approaches are studied where users healthy brain signals are recorded using electroencephalogram (EEG) and explored in order to be able to control some smart home appliances and a robotic arm for self-feeder to help disabled persons, who cannot move or talk, to live independently in a brain-controlled environment. Specifically, the Steady State Visual Evoked Potentials (SSVEP) brain response induced by visual stimulus is used to detect at which frequency the subject is exactly looking, and at this moment the software sends the corresponding request to move the robotic arm to the desired plate to feed himself. Also, a Wi-Fi-based smart home automation is introduced, where light intensity and fan speed are controlled automatically through the physiological state of the individual without any external stimuli, or voluntary through the SSVEP method. Finally, a comfortable way is proposed to let the user choose between two options by an EEG-based color recognition (red and blue colors).","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342650","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
A Flexible Endoscopic Sensing Module for Force Haptic Feedback Integration 用于力触觉反馈集成的柔性内窥镜传感模块
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641817
H. Naghibi, W. Hoitzing, S. Stramigioli, M. Abayazid
{"title":"A Flexible Endoscopic Sensing Module for Force Haptic Feedback Integration","authors":"H. Naghibi, W. Hoitzing, S. Stramigioli, M. Abayazid","doi":"10.1109/CIBEC.2018.8641817","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641817","url":null,"abstract":"Proper haptic feedback is a key aspect to the safety of a teleoperated endoscopic surgical robotics system. In this study we developed a flexible sensing module to measure the directional force, and a haptic control of a soft robotic endoscopic segment. The force amplitude and direction detection was based on the voltage changes in four strain gauges positioned at four quarters of a flexible cylinder. The flexible structure of the cylinder allowed for large deformation which can reduce the risk of tissue damage at interfaces. Inverse finite element analysis and finite element simulations were implemented to further improve and verify the developed system. The system including the haptic feedback controller could enhance operator navigation.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116060570","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: 2
Multichannel EHG Segmentation for automatically identifying contractions 用于自动识别收缩的多通道EHG分割
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641804
Hiba El Tillawi, Ahmad Diab, M. Khalil, C. Marque
{"title":"Multichannel EHG Segmentation for automatically identifying contractions","authors":"Hiba El Tillawi, Ahmad Diab, M. Khalil, C. Marque","doi":"10.1109/CIBEC.2018.8641804","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641804","url":null,"abstract":"In a recent past, several techniques have been developed to analyze the events contained in the electrohysterogram signals (EHG). But, the most of them focused on online methods. In this study, we use online methods like Fractal Dimension, Wavelet transform technique, Dynamic Cumulative Sum (DCS). Methods were applied on synthetic signals and real labeled EHG signals database acquiring using $4 x 4$ electrodes matrix. For this purpose, three parameters affecting the Fractal dimension method, the size of analyzing window, thresholding value and the window overlapping, were first tuned in order to identify the recommended values for ruptures detection of the EHG signals by comparing results to its label. According to the obtained results, these three methods seem to be encouraging methods that could be used for automatic ruptures segmentation.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121776007","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
Mathematical Modelling for Bone Cement MMA Free Radical Polymerization Process 骨水泥MMA自由基聚合过程的数学建模
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641796
H. M. Ahmed, Reda Abdelbaset, Asmaa A. R. Awad, I. Mustafa
{"title":"Mathematical Modelling for Bone Cement MMA Free Radical Polymerization Process","authors":"H. M. Ahmed, Reda Abdelbaset, Asmaa A. R. Awad, I. Mustafa","doi":"10.1109/CIBEC.2018.8641796","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641796","url":null,"abstract":"For more than 50 years, artificial joints are fastened efficiently by bone cements. Bone cements play an important role in the elastic zone. In human hip joint, about ten to twelve times of the body weight acts upon the hip joint. This gives rise to the need of the bone cement to absorb the forces acting upon the human hip joint. Plexiglas, which is Poly Methyl Methacrylate (PMMA) is the material of choice for obtaining bone cements. Three methods are conducted to produce PMM4; namely, the emulsion polymerization, solution polymerization and bulk polymerization. From these methods; in-situ and in-vivo extremely exothermic reactions of free radical bulk polymerization are used to produce PMM4 bone cements. Radical polymerization gives atactic and amorphous PMM4. Also, aseptic loosening is caused by residual monomer which remains unreacted in the body. Free radical polymerization models can describe the bone cement production effectively and are used for quantitative analysis of its synthesis. In this research, bone cement production is mathematically investigated based on multi-cell reactor. Solubility of the pre-polymer powder in the liquid monomer has shown to be the most important variable during the preparation process and that it should be tuned to control the real operation of bone cement production.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"30 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705848","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
Gait Variability Analysis in Neurodegenerative Diseases Using Nonlinear Dynamical Modelling 用非线性动力学模型分析神经退行性疾病的步态变异性
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641835
Rana Hossam Elden, W. Al-Atabany, V. F. Ghoneim
{"title":"Gait Variability Analysis in Neurodegenerative Diseases Using Nonlinear Dynamical Modelling","authors":"Rana Hossam Elden, W. Al-Atabany, V. F. Ghoneim","doi":"10.1109/CIBEC.2018.8641835","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641835","url":null,"abstract":"Neurodegenerative diseases (NDDs) including Parkinson’s disease (PD), Amyotrophic Lateral Sclerosis (ALS), Huntington Disease (HD) disrupt the neuromuscular control system and becomes one of the most serious implications of the human gait disturbance. Therefore, the early detection and classification of such diseases is crucial which could change the course of the treatment. Therefore, this paper explores the improvement of the classification capability based on number of features extracted from vertical ground reaction force (VGRF) signal using a nonlinear dynamical signal analysis technique; reconstructed phase space and recurrence quantification analysis (RQA). To remove any correlation, features have been orthogonally transformed using principal component analysis (PCA) in order to improve the classification performance. Support vector machine (SVM) with radial basis kernel function (RBF) has been used in the classification process. Results show the robustness of the proposed techniques with an overall accuracy 92.19%.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114542474","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 White Blood Cells Using Geometric Features and Color 利用几何特征和颜色的白细胞计算机辅助检测
2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641821
Philippe Saadé, R. Jammal, Sophie El Hayek, Jonathan Abi Zeid, O. Falou, D. Azar
{"title":"Computer-aided Detection of White Blood Cells Using Geometric Features and Color","authors":"Philippe Saadé, R. Jammal, Sophie El Hayek, Jonathan Abi Zeid, O. Falou, D. Azar","doi":"10.1109/CIBEC.2018.8641821","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641821","url":null,"abstract":"White blood cells make up around 1% of our blood, playing a major role in our immune system, fighting foreign organisms and protecting our internal systems. Five different types of leukocytes exist: monocytes, neutrophils, lymphocytes, eosinophils and basophils. In this work, we present a computer-based technique that relies on feature segmentation and extraction in order to efficiently classify white blood cells. Eight features related to the geometry and color of these cells were extracted from 253 images and fed into the random forest classifier. An accuracy of 86% and a precision of 88% were obtained on the testing set. The results indicate that this technique may be used to classify various types of white blood cells.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462117","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: 9
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