2010 17th Iranian Conference of Biomedical Engineering (ICBME)最新文献

SEP controlling parameter in design of above knee prosthesis with moving ankle 能动踝关节上膝假体设计中的SEP控制参数

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-03 DOI: 10.1109/ICBME.2010.5704997

Ghasem Karimi, M. Tahani

引用次数: 2

Self-tuning dynamic impedance control for human arm motion 人体手臂运动的自调谐动态阻抗控制

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704975

S. Dehghani, H. Taghirad, Mohammad Darainy

{"title":"Self-tuning dynamic impedance control for human arm motion","authors":"S. Dehghani, H. Taghirad, Mohammad Darainy","doi":"10.1109/ICBME.2010.5704975","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5704975","url":null,"abstract":"It is understood that human motion control system uses the motion memory in accomplishment of an appropriate movement. It uses the past experience, learns and creates a precise or incident knowledge of the physical properties of the body and the external environment. In this paper, since the interaction with the environment is one of the main characteristics of the human motion controller design, a dynamic impedance control model is proposed. This model consists of two feedback loops, the internal force loop and the external position loop in the Cartesian space. By exploiting the dynamic impedance control scheme, the controller identifies the mechanical impedance of the environment while interacting and adapting its required impedance coefficients. A neural network self tuning PID controller is proposed to determine the controller coefficients. By this means and through the adaptation properties of neural networks, the proportional, integral and differential coefficients of the dynamic impedance controller is obtained during the interaction with the environment. Finally, the results of proposed controller structure are verified by experiments.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"118 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":"115703874","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

Preparing nanocomposite fibrous scaffolds of P3HB/nHA for bone tissue engineering 制备P3HB/nHA纳米复合纤维支架用于骨组织工程

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5705012

A. Tehrani, A. Zadhoush, Saeed Karbasi

{"title":"Preparing nanocomposite fibrous scaffolds of P3HB/nHA for bone tissue engineering","authors":"A. Tehrani, A. Zadhoush, Saeed Karbasi","doi":"10.1109/ICBME.2010.5705012","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5705012","url":null,"abstract":"Nanocomposites are recently known to be among the most successful materials in biomedical applications. In this work we sought to fabricate fibrous scaffolds which can mimic the extra cellular matrix of cartilaginous connective tissue not only to a structural extent but with a mechanical and biological analogy. Poly(3-hydroxybutyrate) (P3HB) matrices were reinforced with 5, 10 and 15 %wt hydroxyapatite (HA) nanoparticles and electrospun into nanocomposite fibrous scaffolds. Mechanical properties of each case were compared with that of a P3HB scaffold produced in the same processing condition. Spectroscopic and morphological observations were used for detecting the interaction quality between the constituents. Nanoparticles rested deep within the fibers of 1 µm in diameter. Chemical interactions of hydrogen bonds linked the constituents through the interface. Maximum elastic modulus and mechanical strength was obtained with the presence of 5%wt hydroxyapatite nanoparticles. Above 10%wt, nanoparticles tended to agglomerate and caused the entity to lose its mechanical performance; however, viscoelasticity interfered at this concentration and lead to a delayed failure. In other words, higher elongation at break and a massive work of rupture was observed at 10%wt.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"105 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":"117203361","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: 10

A mathematical approach for describing the time-dependent Poisson's ratio of viscoelastic ligaments mechanical characteristics of biological tissues 描述生物组织粘弹性韧带力学特性随时间变化泊松比的数学方法

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5705018

H. Ashrafi, M. Shariyat

引用次数: 6

Robust speech recognition by improvement missing features using Bidirectional Neural Network 利用双向神经网络改进缺失特征的鲁棒语音识别

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704935

Hojat Mohammadnejad, Mansoor Vali

引用次数: 0

Improving QRS detection for artifacts reduction 改进QRS检测以减少伪影

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704922

E. Zeraatkar, S. Kermani, A. Mehridehnavi, A. Aminzadeh

{"title":"Improving QRS detection for artifacts reduction","authors":"E. Zeraatkar, S. Kermani, A. Mehridehnavi, A. Aminzadeh","doi":"10.1109/ICBME.2010.5704922","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5704922","url":null,"abstract":"Since the QRS complex in electrocardiogram signals is one of the most important tasks to describe the operation of heart, high accuracy detection for this complex should be considered. In this study one of the newest methods of QRS complex detection combined with several artifact sources reduction methods has been performed. QRS detection algorithm includes baseline drift removal, Butterworth filtering, notch filtering and extracting five special features from ECG to identify QRS complex. In order to validate the robustness of this method, four important artifact sources such as power line interference, electrode contact noise, motion artifact and muscle contraction (EMG) have been produced and combined with ECG signal. The performance of this approach against these noises based on three MIT-BIH recording classes (Normal, LQT and TWA) has been discussed with ROC (Receiver Operating Characteristics). With proposed QRS detection algorithm 100% and 94.88% accuracy has been achieved in best and worst case respectively. Thus this method has the ability to cancel respiration modulation and reduce EMG noise, motion and power line artifacts effectively.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"50 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":"124764570","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: 10

Medical image authentication based on fragile watermarking using hamming code 基于汉明码脆弱水印的医学图像认证

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704947

M. A. M. Abadi, H. Danyali, Mazaher Nosoohi Dehnavi

引用次数: 3

Detection of cancerous zones in mammograms using fractal modeling and classification by probabilistic neural network 基于分形建模和概率神经网络分类的乳房x光片癌区检测

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704962

A. S. Noodeh, H. Rabbani, A. M. Dehnavi, H. Ahmadi Noubari

{"title":"Detection of cancerous zones in mammograms using fractal modeling and classification by probabilistic neural network","authors":"A. S. Noodeh, H. Rabbani, A. M. Dehnavi, H. Ahmadi Noubari","doi":"10.1109/ICBME.2010.5704962","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5704962","url":null,"abstract":"Recent studies on the geometry of fractals indicate that tumors with irregular shapes can be utilized for the study of the morphology and diagnosis of cancerous cases. In this paper, we deal with the fractal modeling of the mammographic images and their background morphology. It is shown that the use of fractal modeling as applied to a given image can clearly discern cancerous zones from noncancerous areas. Our results show that fractal modeling of images can be used as an effective tool for identification of cancerous cells. For fractal modeling, the original image is first segmented into appropriate fractal boxes followed by identifying the fractal dimension of each windowed section. We have used two dimensional box counting algorithm after which based on the order of the computations, they are placed in an appropriate matrix to facilitate the required computations. Finally using eight features identified as characteristic features of tumors extracted from mammogram images, the results obtained from the preliminary analysis stages, were utilized in a neural network for classification of cells into malignant and benign with the accuracy of 89.21 % classification results.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"219 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":"115013626","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: 10

New clinical methods of using femtosecond laser pulses in refractive surgery 飞秒激光脉冲在屈光手术中的临床应用

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5705021

John R. Harder, Perez Campos, U. Merkel, V. Nuzzo, H. Masalehdan, Sussane Ebert

引用次数: 0

Changes of functional connectivity and amplitude of fluctuations in Resting State fMRI data of Parkinson Disease 帕金森病静息状态fMRI数据中功能连通性和波动幅度的变化

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704963

M. Ghasemi, A. Mahloojifar, M. Zarei, Amin Ferdosi-makan

引用次数: 1