2015 22nd Iranian Conference on Biomedical Engineering (ICBME)最新文献_第2页

Hand kinematics estimation using non-invasive surface sensors: a linear system identification approach 使用非侵入式表面传感器的手部运动学估计:一种线性系统识别方法

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404149

S. Karimimehr, Parviz Ghaderi, M. E. Andani

{"title":"Hand kinematics estimation using non-invasive surface sensors: a linear system identification approach","authors":"S. Karimimehr, Parviz Ghaderi, M. E. Andani","doi":"10.1109/ICBME.2015.7404149","DOIUrl":"https://doi.org/10.1109/ICBME.2015.7404149","url":null,"abstract":"Hand kinematics or joints angle estimation using sensors to control prosthetic devices is one of the growing research areas in today's biomedical engineering. The need for continuous and proportional control of movements makes the regression methods more suitable than classification approaches. In system identification like regression it is possible to find a model which tracks the behavior of an input-output relation without knowing much information about the details of the inside model (black box models). In this paper we have a comprehensive study on some well-known linear models and introduce the best one for joints angle estimation in prosthetic control. The Output Error (OE) model is introduced as the best one and RMS feature as the best feature to transform sensor signals into feature domain. For the input of the model we used both surface Electromyographic (sEMG) signals and accelerometers attached on them. As these sensors are non-invasive, there is huge interest in using them for commercial purposes. We showed that this combination results in a better performance than using each of them alone. Finally, we proposed a combinational model using different pre-processing steps to estimate all joints with good estimation and low cost with less than 10 degrees of average error. This result is comparable with state of the art methods in the literature.","PeriodicalId":127657,"journal":{"name":"2015 22nd Iranian Conference on Biomedical Engineering (ICBME)","volume":"47 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114035252","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

Design of a planar parallel robot to investigate human arm point to point reaching movement 设计了一种平面并联机器人，用于研究人体手臂点对点到达运动

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404147

M. Momtahan, Hr Farhang, S. Dehghani, F. Bahrami, H. Moradi, F. Najafi

引用次数: 2

Analysis and evaluation of somatotopic mapping and rs-fMRI parcellation for healthy aging and alzheimer’s disease 对健康老龄化和阿尔茨海默病的躯体定位和rs-fMRI包封分析与评价

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404159

Mahsa Alizadeh Shalchy, D. Asemani

{"title":"Analysis and evaluation of somatotopic mapping and rs-fMRI parcellation for healthy aging and alzheimer’s disease","authors":"Mahsa Alizadeh Shalchy, D. Asemani","doi":"10.1109/ICBME.2015.7404159","DOIUrl":"https://doi.org/10.1109/ICBME.2015.7404159","url":null,"abstract":"Task-based functional Magnetic Resonance Imaging (fMRI) has exhibited a thriving potential in the extraction of somatotopic maps of the human sensorimotor cortex representing the correspondence of cortex regions with the sensorimotor functions. Several studies have explored the correspondence of cortex divisions in the absence of motor functions utilizing resting-state fMRI (rs-fMRI) with the somatotopic maps using successive task and rest sessions. In this paper, it is shown that the mentioned similarity between the somatotopic divisions (task fMRI) and the clusters due to rsfMRI parcellation holds for the independent task and rest experimentations as well. Also, it is found that the motor cortices of BA3 and BA4 exhibit no significant change in the somatotopic divisions for both healthy aging and Alzheimer Disease (AD) cases, though AD has been shown to affect the voxel activities in BA3 and BA4. Then, the clusters of sensorimotor cortices are shown to remain unchanged in the AD compared with the healthy aging. There exist a close association with the somatotopic maps of the young for both the AD and healthy aging as well.","PeriodicalId":127657,"journal":{"name":"2015 22nd Iranian Conference on Biomedical Engineering (ICBME)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247429","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

In silico design of synthetic gene network for control of gene expression 控制基因表达的合成基因网络的计算机设计

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404125

S. Mohamadabadi, M. B. Yazdi

引用次数: 0

Retinal blood vessel classification based on color and directional features in fundus images 基于眼底图像颜色和方向特征的视网膜血管分类

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404152

Golnoush Hamednejad, H. Pourghassem

引用次数: 7

EEG signal classification based on sparse representation in brain computer interface applications 基于稀疏表示的脑机接口脑电信号分类

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404109

R. Ameri, A. Pouyan, V. Abolghasemi

引用次数: 10

Boundary estimation of soft tissue tumor by using feed forward neural network with application of artificial tactile sensing - Boundary estimation of soft tissue tumor 基于前馈神经网络的软组织肿瘤边界估计与人工触觉的应用——软组织肿瘤边界估计

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404174

M. Keshavarz, S. Mehrdad, A. Mojra

{"title":"Boundary estimation of soft tissue tumor by using feed forward neural network with application of artificial tactile sensing - Boundary estimation of soft tissue tumor","authors":"M. Keshavarz, S. Mehrdad, A. Mojra","doi":"10.1109/ICBME.2015.7404174","DOIUrl":"https://doi.org/10.1109/ICBME.2015.7404174","url":null,"abstract":"Geometrical feature assessment of a cancerous tumor embedded in biological soft tissue is a necessity in follow-up procedure and making suitable therapeutic decisions. Evidently by having such features in hand, tumor resections will be more curative and beneficial. In this paper a procedure of examining boundaries of a sphere-shaped tumor embedded in the liver tissue was investigated. At first, the main essential was to generate finite element model of the soft tissue including a tumor in ABAQUS. By considering viscoelastic properties, mechanical behavior of the tissue under a specified pattern of loading was studied. In the following, tumor boundary was estimated by using a feed forward neural network (FFNN). Genetic Algorithm (GA) was used for extracting input datasets of the network by extracting mechanical parameters from the tissue surface stress-strain diagrams. Data used for training the FFNN was result of implementing the ABAQUS-based model of the cancerous soft tissue which was tested 120 times with different tumor diameters. Throughout the process, 90 datasets were used for training and the other 30 were used for testing the network. The results affirmed that the produced intelligent procedure of estimating tumor boundaries can be relied on as a trustworthy method.","PeriodicalId":127657,"journal":{"name":"2015 22nd Iranian Conference on Biomedical Engineering (ICBME)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130493308","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

Developing a fuzzy theta alpha neurofeedback for treatment of pre-sleep disorders 开发用于治疗睡眠前障碍的模糊神经反馈

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404111

E. Vafaei, Mohammad Saleh Khajeh Hosseini, S. M. Shushtarian

引用次数: 2

Classification of ADLs using muscle activation waveform versus thirteen EMG features 肌肉激活波形与13种肌电图特征的adl分类

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404140

Payman Azaripasand, A. Maleki, A. Fallah

引用次数: 3

Effects of visual differences between real and HMD-based virtual objects on brain activity: an EEG study 真实和基于hmd的虚拟物体之间的视觉差异对大脑活动的影响:一项脑电图研究

2015 22nd Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2015-11-01 DOI: 10.1109/ICBME.2015.7404177

Aydin Rajabzadeh, E. Arbabi

引用次数: 0