2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)最新文献

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Correcting Electromagnetic Tracker's Position Error Using Orientation Information Based on Hardy's Multi-Quadric Method 基于Hardy多重二次法的方向信息校正电磁跟踪器的位置误差
N. Samadzadehaghdam, Shahla Azizi, A. Ahmadian, M. Abdolghaffar
{"title":"Correcting Electromagnetic Tracker's Position Error Using Orientation Information Based on Hardy's Multi-Quadric Method","authors":"N. Samadzadehaghdam, Shahla Azizi, A. Ahmadian, M. Abdolghaffar","doi":"10.1109/ICBME.2017.8430236","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430236","url":null,"abstract":"Electromagnetic tracking (EMT) systems are often used to track the position and orientation of a navigation tool during navigated surgery operations. But, their sensitivity to field distortions originating from electromagnetic emitting devices or metallic objects present in the environment reduces measurement accuracy. The purpose of this study is to incorporate orientation information in correcting position data provided by EMT based on Hardy's Multi-Quadric method (HMQ). We implemented the HMQ algorithm in two ways: the basic form in which location data is used only and the modified form in which both the orientation and location data are incorporated into a normalized vector in the relevant formula. Comparing the corrected position data with their corresponding reference values, which are provided by the optical tracking system, it is observed that the mean global error is reduced approximately by half and the variance is decreased nearly to its one tenth.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015163","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
Effects of Cardiac Motion on the Flow Rate of the Left Coronary Artery Considering Different Blood Viscosities 考虑不同血黏度时心脏运动对左冠状动脉流速的影响
F. Forouzandeh, N. Fatouraee
{"title":"Effects of Cardiac Motion on the Flow Rate of the Left Coronary Artery Considering Different Blood Viscosities","authors":"F. Forouzandeh, N. Fatouraee","doi":"10.1109/ICBME.2017.8430261","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430261","url":null,"abstract":"Coronary arteries are one of the most vulnerable sites of diseases in the cardiovascular system. It is a known fact that the curvatures of coronary arteries change during every cardiac cycle due to cardiac motions, which can significantly affect their hemodynamics. In this study, effects of human left coronary artery motions on its blood flow rate were investigated using an experimental model. Also, the different blood viscosities were experimented as the working fluid in order to find out the effect of cardiac motion on the flow rate of the artery for more viscous blood. The artery was simplified into a straight flexible tube that experienced an in-plane sinusoidal motion utilizing a coronary artery motion simulator device, while the artery's cross-section did not change. A steady state pressure gradient was applied at the tube inlet, making a laminar flow close to the physiological values in the quasi-static state, while the outlet was at atmospheric pressure. Meanwhile, variations in flow rate were accurately measured by a nozzle flowmeter that was designed, optimized, and fabricated for these experiments. Several experiments were performed on fluids with different viscosities to find out the effects of both motion and viscosity on the flow rate. In all experiments, two sets of results were obtained: (i) the flow rate of the static tube with a mean curvature radius (quasi-static state) (ii) the flow rate of the moving tube at the frequency of 1 Hz. According to the results, artery motions can increase the mean flow rate up to 12% compared with the quasi-static state, when the working fluid has characteristics similar to normal blood. In addition, it was found that the effect of cardiac motion in increasing the flow rate can be amplified if the blood is more viscous than normal. Taken together, the results suggest that the cardiac motion may play an important role in changes of left coronary artery flow rate, and emphasize the need for future investigations.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132929745","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
Fatigue Status Recognition in a Post-Stroke Rehabilitation Exercise with sEMG Signal 脑卒中后康复训练中肌电信号的疲劳状态识别
Sina Shahmoradi, A. Lireza Zare, S. Behzadipour
{"title":"Fatigue Status Recognition in a Post-Stroke Rehabilitation Exercise with sEMG Signal","authors":"Sina Shahmoradi, A. Lireza Zare, S. Behzadipour","doi":"10.1109/ICBME.2017.8430264","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430264","url":null,"abstract":"Exercise therapy is considered as one of the main rehabilitation treatments for post-stroke patients, especially by utilizing modern technologies, such as virtual and/or augmented reality. However, in order to design an appropriate exercise program, which prolongs the exercise duration and maximize the patient's improvement, the fatigue status needs to be detected and used for the program adjustment. In the previous fatigue recognition works, only exercises for healthy and athlete subjects have been taken into account. In this paper, fatigue status classification has been accomplished in a rehabilitation exercise for poststroke patients. To do so, the reaching task, as a basic rehabilitation exercise, was performed by post-stroke patients, utilizing Xbox Kinect; and surface EMG signal and Maximum voluntary contraction (MVC) of the subjects were collected during the exercises. The MVC values were used as the reference for fatigue status. Several features were determined and extracted from the sEMG and finally, classification of fatigue status on the sE MG was performed by two well-known classifiers: Hidden Markov Model (HMM) and Artificial Neural Network (ANN). An accuracy of 95.3% was achieved by HMM, which is a promising step toward an automated fatigue status recognition system in post-stroke rehabilitation exercises.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"444 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133212800","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
Nonlinear Synthesis of Expression Variation Dynamics on Video Using Deep Dynamic Bottleneck Neural Networks 基于深度动态瓶颈神经网络的视频表达变化动态非线性综合
Saeed Montazeri Moghadam, S. Ali Seyyedsalehi, N. Amini
{"title":"Nonlinear Synthesis of Expression Variation Dynamics on Video Using Deep Dynamic Bottleneck Neural Networks","authors":"Saeed Montazeri Moghadam, S. Ali Seyyedsalehi, N. Amini","doi":"10.1109/ICBME.2017.8430231","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430231","url":null,"abstract":"Nonlinear components extracted from a deep structure of bottleneck neural network have a great ability in expressing input space in a low-dimensional manifold. Sharing and combination of components makes it possible to synthesize and interpolate a new data. Presented paper introduces a novel Dynamic Deep Bottleneck Neural Network to analyze videos of emotion expressed on the faces of input subjects. The main extracted features are identity, emotion and expression intensity that are lied in three different subspaces of a manifold. This model shows potential to synthesize new videos showing variations of one specific emotion on the face of unknown subjects. Produced videos show variations from neutral to apex of an emotion on the face of unfamiliar test subjects which is in average 80% similar to the reference videos in the scale of SSIM method.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133426990","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
Quaternion Wavelet Frame Rate Up-Conversion 四元数小波帧率上转换
Sahar Khoubani, M. Hassan Moradi, Monireh Sheikhhosseini
{"title":"Quaternion Wavelet Frame Rate Up-Conversion","authors":"Sahar Khoubani, M. Hassan Moradi, Monireh Sheikhhosseini","doi":"10.1109/ICBME.2017.8430226","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430226","url":null,"abstract":"In this paper, we propose a new Frame Rate Up-Conversion (FRUC) method based on Quaternion Wavelet Transform (QWT) to reduce the computational complexity and to improve the peak signal-to-noise ratio (PSNR) performance. The proposed QWT based method enhance the frame rate of video sequence, using Motion Compensated Frame Interpolation (MCFI). This paper considers the motion estimation using the phase of image sequences which leads to a remarkable PSNR value. We have used our proposed method to enhance temporal resolution of B-mode echocardiography image sequences to cope with the low frame rate of B-mode sequences. Simulation results demonstrate the performance of our proposed method on benchmark image sequences.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518836","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
Brain Connectivity in Living vs. Nonliving Visual Stimuli 活体与非活体视觉刺激的大脑连通性
Tirdad Seifi Ala, Mohammad Ali Ahmadi-Pajouh, Fatemeh Zamanian
{"title":"Brain Connectivity in Living vs. Nonliving Visual Stimuli","authors":"Tirdad Seifi Ala, Mohammad Ali Ahmadi-Pajouh, Fatemeh Zamanian","doi":"10.1109/ICBME.2017.8430279","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430279","url":null,"abstract":"Our ability to distinguish different objects of different classes is a highly complex procedure taking place within brain network. Studying the process of object recognition can help us gain a better understanding of semantic knowledge in the brain, and henceforth can be put into use for clinical applications such as treatment of patients with deficits in identifying objects around them. In this article, an ERP experiment was conducted to see how brain connectivity changes due to living vs. nonliving visual stimuli. Imaginary part of coherency was calculated to assess the amount of synchronization among five pivotal cortical regions (frontal, parietal, occipital, left and right temporal) in the brain and two-way repeated-measure ANOVA was used for statistical analysis. The results indicated functional connectivity in living stimuli are higher in occipital-left temporal alpha oscillation, frontal-left temporal theta oscillations and frontal-parietal beta oscillations compared to nonliving stimuli. On the other hand, oscillations in left temporal-right temporal beta band and frontal-parietal theta band in nonliving stimuli showed more synchronizations compared to living group.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127081639","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
Fuzzy Cognitive Maps and a New Region Growing Algorithm for Classification of Mammography Images 模糊认知图及一种新的乳房x线影像分类区域生长算法
Mojtaba Kolahdoozi, A. Amirkhani, Maryam Maroufi
{"title":"Fuzzy Cognitive Maps and a New Region Growing Algorithm for Classification of Mammography Images","authors":"Mojtaba Kolahdoozi, A. Amirkhani, Maryam Maroufi","doi":"10.1109/ICBME.2017.8430219","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430219","url":null,"abstract":"Mammography is one the efficient ways to diagnose breast cancer in its early stages. In this paper we have proposed a novel approach based on fuzzy cognitive maps (FCMs) in order to classify breast tumors in one of the malignant or benign types. First of all, mammography images are preprocessed for reduction of noise and removing artifacts. In the next step the tumor is segmented with a new segmentation algorithm which is based on region growing method. After segmentation, 27 features describing texture and boundaries of segmented area are extracted and feature selection is performed with respect to the classifier validation error. Finally, FCM is trained based on square error of training set. To assess the generalization ability of our proposed method a dataset of digital database for screening mammography (DDSM) containing 149 benign and 148 malignant cases is used. The obtained AUC for test set is 0.851.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130648074","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: 4
Dictionary Learning for Sparse Representation Based on Smoothed L_0 Norm 基于光滑L_0范数的稀疏表示字典学习
S. Akhavan, Hamid Soltanian-Zadeh
{"title":"Dictionary Learning for Sparse Representation Based on Smoothed L_0 Norm","authors":"S. Akhavan, Hamid Soltanian-Zadeh","doi":"10.1109/ICBME.2017.8430240","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430240","url":null,"abstract":"Dictionary learning for sparse representation is a powerful and efficient tool for signal processing applications. Designing a dictionary, which can sparsely represent the training samples is the main target of this work. Most of the current dictionary learning methods minimize the representation error of the training samples, subject to the sparseness of the coefficient matrix. They use a two-steps alternating minimization approach to find the dictionary and the coefficient matrix. The first step is to sparsely approximate the training samples over the current dictionary and the second step is to update the dictionary. The first step is often time-consuming, because it is required to minimize the l_0 (or l_1) norm of the coefficient matrix. In this paper, we propose a new method for dictionary learning based on smoothed l_0 norm, which increases the speed of the sparse decomposition step. We also combine the sparse representation and the dictionary update steps, which helps us expedite convergence of the parameters. Simulation results show that, the proposed algorithm considerably increases the speed of convergence, while providing the same or better performance, particularly in the presence of noise.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134199241","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
A Modified Method of Submovement Decomposition Based on Velocity Profile and Endpoint Position 一种基于速度剖面和端点位置的改进子运动分解方法
Seyedeh Somayeh Naghibi, A. Maleki, A. Fallah, F. Ghassemi
{"title":"A Modified Method of Submovement Decomposition Based on Velocity Profile and Endpoint Position","authors":"Seyedeh Somayeh Naghibi, A. Maleki, A. Fallah, F. Ghassemi","doi":"10.1109/ICBME.2017.8430253","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430253","url":null,"abstract":"Proper functioning of the rehabilitation and motion control systems depends on the proper recognition of the motor system and the mechanism of natural movement formation. The submovement theory states that each movement consists of building units that are called submovement and by combining a limited number of submovement, more complex movements are formed. Many evidence supports this theory. Therefore, proper submovement extraction is an important topic in movement identification and control. One of the most commonly used submovement extraction methods relies on fitting a number of overlapping basis function to the movement. Parameters of these basis functions are usually identified by optimization method. In the related papers, the adaptation between the velocity profiles of the reconstructed movement and the main movement is used as an optimization cost function criteria, while the adaptation of the movement end point to the target is very important in many movements. Accordingly, the purpose of this paper is to modify the objective function of optimization so that both the reconstructed movement paths and end points are aligned with the original movement. For this purpose, the optimization cost function was modified so that in addition to the difference in velocity profiles, the effect of the target distance at the end of the movement, is also considered. The results show that, there is good adaptation between the main and reconstructed movement trajectories and end points. Therefore, with the proposed method, more appropriate submovements are extracted.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"94 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128852736","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
Evaluation of Nanofiber PLA Scaffolds Using Dry-and Wet-Electro Spinning Methods 干湿电纺丝法对纳米纤维聚乳酸支架的评价
S. Ghorbani, Sajad Razavi Bazaz, Majid Ebrahimi Warkiani, M. Soleimani, Ali Abouei Mehrizi
{"title":"Evaluation of Nanofiber PLA Scaffolds Using Dry-and Wet-Electro Spinning Methods","authors":"S. Ghorbani, Sajad Razavi Bazaz, Majid Ebrahimi Warkiani, M. Soleimani, Ali Abouei Mehrizi","doi":"10.1109/ICBME.2017.8430270","DOIUrl":"https://doi.org/10.1109/ICBME.2017.8430270","url":null,"abstract":"Investigating the fabrication of a favorable scaffold is a continuing sconcern and an essential step within tissue engineering. An ideal scaffold should mimic the structure of extracellular matrix (ECM) which has considerable impacts on its function. To meet this demands, in this study, three-dimensional scaffolds by polylactic acid (PLA) polymer 10%, 13%, 15%, 17% and 20% (w/v) with a novel architecture produced by a wet-electrospinning process have been fabricated and compared with dry-electrospun scaffolds that have been developed for tissue engineering applications. In the wet-electrospinning method, an aqueous solution of sodium hydroxide (NaOH) (pH~13) has been used as the coagulation bath instead of the aluminum collector which is used in the dry method. Comparing with usual nanofiber non-woven PLA fabric prepared by a conventional electrospinning method, wet-electrospun spongiform PLA nanofiber scaffolds have low apparent density and high porosity. The porosity of the scaffolds has been examined in this two methods and their mechanical properties as well as their morphology are investigated. All in all, it is shown that the novel nanofiber fabrication system would be amazingly useful for the structure control of the nanofiber fabric.","PeriodicalId":116204,"journal":{"name":"2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989918","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
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