2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)最新文献

筛选
英文 中文
Changes of localized spontaneous activity and connectivity in resting state fMRI data of Parkinson disease 帕金森病静息状态fMRI数据中局部自发活动和连通性的变化
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742254
M. Ghasemi, A. Mahloojifar, M. Zarei, Amin Ferdosi-makan
{"title":"Changes of localized spontaneous activity and connectivity in resting state fMRI data of Parkinson disease","authors":"M. Ghasemi, A. Mahloojifar, M. Zarei, Amin Ferdosi-makan","doi":"10.1109/IECBES.2010.5742254","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742254","url":null,"abstract":"Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate intra- and inter-regional features of the brain. To this end, we apply three methods, Spontaneous Low Frequency Fluctuation (SLFF), Regional Homogeneity (ReHo) and Seed Correlation Analysis (SCA). The results of advanced statistical image analysis on SLFF maps show hypoactivation in the basal ganglia and hyperactivation in the motor cortex and the cerebellum. We found that the seed correlation value between Left cerebellum and left putamen is the most discriminating parameter between Parkinson patients and healthy group. Moreover, SCA features are more significant compared to the intra-regional features (SLFF or ReHo). The result of clustering by 16 selected features is 85%.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735046","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
Robot assisted stroke rehabilitation: Estimation of muscle force/joint torque from EMG using GA 机器人辅助中风康复:利用遗传算法从肌电图估计肌肉力量/关节扭矩
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742257
Arif Wicaksana Oyong, S. Parasuraman, V. L. Jauw
{"title":"Robot assisted stroke rehabilitation: Estimation of muscle force/joint torque from EMG using GA","authors":"Arif Wicaksana Oyong, S. Parasuraman, V. L. Jauw","doi":"10.1109/IECBES.2010.5742257","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742257","url":null,"abstract":"This project focuses on the development of robot-assisted stroke rehabilitation by implementing electromyography (EMG) as the interface between robot and user communication. Key issue in implementation of EMG in this application is conversion of EMG signal into torque data. This paper presents a methodology of EMG signal to estimated joint torque conversion by using genetic algorithm (GA). Basic principle of GA, formulation, and implementation to the problem are discussed in this paper. Experimentation with real life EMG data has been carried out to assess the feasibility of the methodology in robot-assisted stroke rehabilitation problem. Preliminary investigations show that the methodology can be used in EMG to joint torque conversion algorithm.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124637200","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
Relationship between morphological parameters of cancellous bone and its mechanical properties 松质骨形态参数与力学性能的关系
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742256
A. Syahrom, M. A. Abdul Kadir, D. Muslim
{"title":"Relationship between morphological parameters of cancellous bone and its mechanical properties","authors":"A. Syahrom, M. A. Abdul Kadir, D. Muslim","doi":"10.1109/IECBES.2010.5742256","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742256","url":null,"abstract":"Relationship between osteoporosis and failure mechanism can be assessed through quantitative bone quality and clinical studies. Characterization and functional studies in this area is vital to identify patients at risk of bone fractures. Identification of elastic bone modulus can be done using several methods including mechanical testing and correlations between microarchitectural parameters. In this study, compressive testing was done until failure on bovine cancellous bone extracted from the neck of femur. A thorough experimental protocol was used for extraction and cleaning of cylindrical bone samples. Three cylindrical bovine cancellous bone specimens were obtained from the femoral cadaver for the experiment. The specimens have a diameter of 10mm and a total length of 25 mm with an effective length for experiment of 15 mm. After extraction of the bone samples, the marrow was removed from the hard tissue by immersing in an ultrasound cleaner and then vacuumed. Results showed strong relationships between volume fraction and mechanical properties of cancellous bone. However, there is a weak relationship between the bulk density and the mechanical properties.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115911511","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
Finite-element simulation of effects of laser parameters on laser generated ultrasonic waves in human skin 激光参数对人体皮肤激光超声影响的有限元模拟
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742100
B. Bazzazi, A. Sadr
{"title":"Finite-element simulation of effects of laser parameters on laser generated ultrasonic waves in human skin","authors":"B. Bazzazi, A. Sadr","doi":"10.1109/IECBES.2010.5742100","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742100","url":null,"abstract":"Recently laser generated ultrasound has been excessively exploited for characterizing multilayer materials and one of its increasing usage in medicine is recognition of skin properties. Regarding some optical properties of human skin and using finite element method (FEM) and ABAQUS, we represent a numerical analysis of coupled thermal and mechanical field and simulate the surface acoustic waves (SAWs) resulting from pulse laser irradiation within the assumed three-layered model. The simulations show that SAWs are sensitive to changes in laser parameters such as pulse rise time and radius of laser spot and will be able to be utilized to quantitavely extract the structural features of skin such as thickness, elasticity, etc and choosing best experimental parameters of laser.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128557407","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
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images 脑MR图像贝叶斯分割中脑组织模糊建模
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742203
A. Farzan, Abd Rahman Ramli, S. Mashohor, R. Mahmud
{"title":"Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images","authors":"A. Farzan, Abd Rahman Ramli, S. Mashohor, R. Mahmud","doi":"10.1109/IECBES.2010.5742203","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742203","url":null,"abstract":"Segmentation of brain MRI is the core part in plenty of medical image processing methods. Due to some properties of MR images such as intensity inhomogeneity of tissues, partial volume effect, noise and some other imaging artifacts, segmentation of brain MRI based on voxel gray values is prone to error. Hence involving problem specific information and expert knowledge in designing segmentation algorithms seems to be useful. A two-fold fuzzy segmentation algorithm based on Bayesian method is proposed in this paper. The Bayesian part uses the gray value of voxels in segmenting images and the segmented image is used as the input to fuzzy classifier to improve the misclassified voxels especially in borders between tissues. Similarity index is used to compare our algorithm with the well known method of Ashburner which has been implemented by Statistical Parametric Mapping (SPM) software. Two different brain MRI datasets are used to evaluate the algorithm. Brainweb as a simulated brain MRI dataset and ADNI as real brain MRI dataset are practiced images. Results show that our algorithm performs well in comparison with the one implemented in SPM. It can be concluded that incorporating expert knowledge and problem specific information in segmentation process improve segmentation result. The major advantage of proposed method is that one can update the knowledge base and incorporate new information into segmentation process by adding new fuzzy rules.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122600451","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
Kinematic analysis of high flex knee implant in sagittal plane before manufacturing real prosthesis 高屈曲膝关节假体制造前矢状面运动学分析
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742281
A. F. Arezoodar, M. A. Abdul Kadir
{"title":"Kinematic analysis of high flex knee implant in sagittal plane before manufacturing real prosthesis","authors":"A. F. Arezoodar, M. A. Abdul Kadir","doi":"10.1109/IECBES.2010.5742281","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742281","url":null,"abstract":"A high flex knee implant has been designed using a current generation computer modeling software and it's kinematic analysis was studied in sagittal plane by creating a kinematic analysis model in motion analysis software. The model includes femoral component, tibia component and tibia insert. Effect of soft tissue was considered the same with it is reported in literature and Effect of friction is neglected. The mechanism was studied in two separate steps. Results show 155° of flexion with 10mm anterior displacement of tibia from full extension to full flexion. In each step, the kinematic solver displays the relative positions of prosthesis components and calculates the velocity of them. This investigation represents the first attempt of using motion analysis software which is capable to solve mechanisms only driven by forces, to predict the TKR motion without any programming. In order to validate the results a full flexion cycle was compare with the results which is reported in literature. Further study have to carry out to evaluate the ability of this kinematic analysis model for analyzing the kinematics of prosthesis with considering all 6DOF which happen in real cases.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127381390","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
Effect of fibroblasts proliferation by light-emitting diode stimulation via cytochrome c oxidase of mitochondria 发光二极管刺激线粒体细胞色素c氧化酶对成纤维细胞增殖的影响
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742215
Yue-Feng Hsieh, J. Hsieh, R. Ruaan, E. Yeong, Y. Chou
{"title":"Effect of fibroblasts proliferation by light-emitting diode stimulation via cytochrome c oxidase of mitochondria","authors":"Yue-Feng Hsieh, J. Hsieh, R. Ruaan, E. Yeong, Y. Chou","doi":"10.1109/IECBES.2010.5742215","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742215","url":null,"abstract":"The objective of the project was investigated that the relationships between cytochrome c and fibroblasts proliferation. The electron transport from cytochrome a3 to CuB was blocked by sodium azide and the action of Na+, K+-ATPase in cell membrane was inhibited by ouabain. Light emitting diode was stimulated after sodium azide and ouabain treatment to investigate whether cytochrome c was related to fibroblasts proliferation. We also realized whether two inhibitors affected ATP synthesis at the same time. The results will be realized whether fibroblasts proliferation by light emitting diode stimulation was related to ATP synthesis in mitochondria. Furthermore, the mechanism of fibroblasts proliferation by light emitting diode stimulation was also demonstrated.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123984614","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
GLCM texture classification for EEG spectrogram image 脑电波谱图的GLCM纹理分类
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742264
M. Mustafa, M. N. Taib, Z. H. Murat, N. Hamid
{"title":"GLCM texture classification for EEG spectrogram image","authors":"M. Mustafa, M. N. Taib, Z. H. Murat, N. Hamid","doi":"10.1109/IECBES.2010.5742264","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742264","url":null,"abstract":"Over the past century, time based and frequency based is used for analyzing Electroencephalography (EEG) signals. EEG is a scientific tool for measure signal from human brain. This paper proposes a time-frequency approach or spectrogram image processing technique for analyzing EEG signals. Gray Level Co-occurrence Matrix (GLCM) texture feature were extracted from spectrogram image and then Principal components analysis (PCA) was employed to reduce the feature dimension. The purpose of this paper is to classify EEG spectrogram image using k-nearest neighbor algorithm (kNN) classifier. The result shows classification rate was 70.83% for EEG spectrogram image.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120953837","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: 15
Unobtrusive in-vehicle biosignal instrumentation for advanced driver assistance and active safety 不显眼的车载生物信号仪表,先进的驾驶辅助和主动安全
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742238
S. Heuer, B. Chamadiya, A. Gharbi, C. Kunze, M. Wagner
{"title":"Unobtrusive in-vehicle biosignal instrumentation for advanced driver assistance and active safety","authors":"S. Heuer, B. Chamadiya, A. Gharbi, C. Kunze, M. Wagner","doi":"10.1109/IECBES.2010.5742238","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742238","url":null,"abstract":"In this work, we describe a set of integrated and ambient sensors, that can be used for the identification and evaluation of suitable sensors for the assessment of psychophysiologic driver state. Applications using this information cover a wide spectrum from driver vigilance monitoring to in-car health management. However, application specific, unobtrusive integration of sensors is necessary to keep the driver's distraction at a minimum. Therefore, contact and non-contact based physiological sensors and their integration into the car environment are presented here. Textile capacitive ECG electrodes have been developed and the integration of various physiological sensors into a Mercedes S-Class steering wheel is described. Furthermore, a custom embedded system has been designed to perform data acquisition and online processing of the biosignals and to provide an interface for car information systems.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123296274","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: 35
Spatial based breast MR images lesion detection and colourisation 基于空间的乳腺MR图像病变检测与着色
2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) Pub Date : 2010-11-01 DOI: 10.1109/IECBES.2010.5742208
K. Sim, F. Chia, S. S. Chong, C. Tso, S. F. Abbas, Sarimah Omar
{"title":"Spatial based breast MR images lesion detection and colourisation","authors":"K. Sim, F. Chia, S. S. Chong, C. Tso, S. F. Abbas, Sarimah Omar","doi":"10.1109/IECBES.2010.5742208","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742208","url":null,"abstract":"In this paper, we designed a Computer-Aided-Diagnosis (CAD) system for lesion detection in breast MR images. The CAD process begins with analysis of MR images to detect the existence of lesion. If lesion exists, it is then coloured based on its type; benign, suspicious or malignant. Our CAD system enables better visualization of the lesions and improves accuracy as well as speed for breast cancer diagnosis.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124664846","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信