2010 15th National Biomedical Engineering Meeting最新文献_第4页

Topographic and temporal spectral analysis of EEG signals during anaesthesia 麻醉期间脑电图信号的地形和时间谱分析

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479800

Güray Gürkan, A. Uslu, Bora Cebeci, E. Erdogan, Itir Kasikci, T. O. Seyhan, A. Akan, T. Demiralp

引用次数: 3

Correlation of BAI psychological test scores with heart rate variability using wavelet packet transform and artificial neural networks in fibromyalgia syndrome 基于小波包变换和人工神经网络的纤维肌痛综合征BAI心理测试分数与心率变异性的相关性研究

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479761

S. Bilgin, O. H. Colak, Gürkan Bilgin, Ozhan Ozkan, S. Yıldız, E. Koklukaya, O. Elmas, S. Comlekci, H. Koyuncuoglu, S. Akkus

{"title":"Correlation of BAI psychological test scores with heart rate variability using wavelet packet transform and artificial neural networks in fibromyalgia syndrome","authors":"S. Bilgin, O. H. Colak, Gürkan Bilgin, Ozhan Ozkan, S. Yıldız, E. Koklukaya, O. Elmas, S. Comlekci, H. Koyuncuoglu, S. Akkus","doi":"10.1109/BIYOMUT.2010.5479761","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479761","url":null,"abstract":"Fibromyalgia syndrome which is appeared in the form of common pain in women is a musculoskeletal disorder. Heart rate variability (HRV) is a signal as measured time between each successive QRS time obtained from ECG signal. HRV parameters are associated with autonomic nervous system in literature. FMS affects patient's psychology. Consequently some psychological tests are applied to patients for evaluation of psychological effects. Beck Anxiety Inventory (BAI) Test being applied as writing and speaking is a test consisting of 21 questions. In the study, HRV signals obtained from FMS patients and control group are decomposed into wavelet packets using Wavelet Packet Transform (WPT) and frequency bands which related to autonomic nervous system are included to study. Wavelet Packets within these frequency bands are applied to inputs of multilayer perceptron artificial neural networks (MLPNN). BAI psychological test scores are included as target values for MLPNN and each input is trained and tested as relating to target values. According to obtained accuracy values, the packets within Very Low Frequency (VLF) band has minimum accuracy values, however the packets within Low Frequency + High Frequency (LF+HF) has the best accuracy values. This study is targeted on presenting a solution for clinical studies which are evaluated using psychological test scores by physiological support.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124163223","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

Demonstration of fiber direction glycogen in the rat EDL muscle with longitudinal sections: Histological assessment 大鼠EDL肌纵向切片显示纤维方向糖原:组织学评价

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479754

F. Susam, F. Ates, Can A. Yücesoy

引用次数: 0

Discretization approach to EEG signal classification using Multilayer Perceptron Neural Network model 基于多层感知器神经网络模型的脑电信号分类离散化方法

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479842

Umut Orhan, M. Hekim, M. Özer

{"title":"Discretization approach to EEG signal classification using Multilayer Perceptron Neural Network model","authors":"Umut Orhan, M. Hekim, M. Özer","doi":"10.1109/BIYOMUT.2010.5479842","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479842","url":null,"abstract":"Electroencephalogram (EEG) recording systems have been frequently used as the sources of information in diagnosis of epilepsy by several researchers. In this study, rearranged EEG signals were classified by Multilayer Perceptron Neural Network (MLPNN) model. Used data consists of five groups (A, B, C, D, and E) each containing 100 EEG segments. In this study, center points with equal interval were selected on amplitude axis of each EEG segment. EEG signals were rearranged by way of that each amplitude value was shifted to the center point closest to itself. Equal width discretization (EWD) method was used for rearrangement process. Wavelet coefficients of each segment of EEG signals were computed by using discrete wavelet transform (DWT). The mean, the standard deviation and the entropy of these coefficients was used as the inputs of MLPNN model. The model was protected from the overfitting by cross validation. Two different classification experiments were implemented by the same MLPNN model: 1) the classification of healthy volunteers, epilepsy patients during seizure and epilepsy patients during a seizure-free interval, 2) the classification of epilepsy patients during seizure and seizure-free interval. MLPNN model classified EEG signals with the accuracy of 99.60% in first experiment and 100% in second experiment. It is observed that MLPNN classification of EEG signals after rearrangement in amplitude axis provides better results.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440467","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: 7

Preparation and characterization of natural polymer-based composite films for hard tissue engineering approaches 用于硬组织工程方法的天然聚合物基复合膜的制备和表征

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479749

C. Isikli, T. Endogan, A. Kiziltay, V. Hasırcı, N. Hasirci

{"title":"Preparation and characterization of natural polymer-based composite films for hard tissue engineering approaches","authors":"C. Isikli, T. Endogan, A. Kiziltay, V. Hasırcı, N. Hasirci","doi":"10.1109/BIYOMUT.2010.5479749","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479749","url":null,"abstract":"Hard tissue engineering has emerged to compensate for the losses in the properties of damaged bones by using scaffolds and cells. In this study, natural polymers chitosan and gelatin were used as scaffold materials because of their great resemblance to extracellular matrix elements. To enhance the mechanical properties and osteoconductivity of structures hydroxyapatite was added. This study is about the characterization of physico-chemical properties and cell behavior on scaffolds to optimize chitosan-gelatin ratio and aims to assess the effects of hydroxyapatite addition into polymeric matrix. According to thermal test results, decomposition temperatures decreased with non-sintered hydroxyapatite (nsHA) addition. Mechanical test results of composite structures were similar to that of cortical bone. Chitosan-gelatin films prepared with same amount of polymers showed the highest swelling degree. While nsHA added pure chitoan films showed higher cell number with respect to chitosan films; on the contrry, chitosan-gelatin polymeric blends indicated an opposite trend after nsHA addition.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130878056","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

Medical user interface for orthopedical surgical robotic system 骨科手术机器人系统的医疗用户界面

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479860

Yasin Güven, D. Barkana

引用次数: 4

Monitoring the body water exchange using dielectric permeability method 用介电渗透率法监测水体交换

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479836

Mehmet Akif Özçoban, F. Latifoğlu, A. Ülgen, M. H. Asyali

引用次数: 0

Effect of titanium surface properties on electrochemically induced biomineralization 钛表面性质对电化学诱导生物矿化的影响

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479780

F. S. Utku, Eren Seckin, G. Goller, C. Tamerler, M. Urgen

引用次数: 3

Simulations of elastin like proteins 类似弹性蛋白的模拟

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479831

H. Olgar, M. Bilsel

{"title":"Simulations of elastin like proteins","authors":"H. Olgar, M. Bilsel","doi":"10.1109/BIYOMUT.2010.5479831","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479831","url":null,"abstract":"(VPGXG)n polypeptides known as elastin-like polypeptides with different biological, biomechanical, biochemical and biophysical properties stand out suitable structures appropriate for production of several biomaterials, in the first instance, tissue, microtube and nanotube in tissue engineering. Therefore, understanding the structural properties of such peptides comes into prominence. For this purpose, structural properties of elastin-like polypeptides have been investigated by computer simulation methods in our study. Our simulations have been carried out by multicanonical algorithm having a wide range of application area from solid state to biophysics, the most powerful algorithm in generalized ensemble family. By taking n=1 and changing aminoacid X, hydrophobicity scale has been established in the forepart of our study, afterwards the effect on structural transition temperature has been determined in a solvent (SCH2) and vacuum. In the second part, choosing VPGVG, the most repeating pentapeptide sequence in elastin-like proteins, and taking n=1, 2, 3, 4, change in structural transition temperature and secondary structure formation caused by the transition from smaller molecule to larger one have been determined.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"94 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692714","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

A fully automatic photogrammetric system design using a 1.3 MP web camera to determine EEG electrode positions 全自动摄影测量系统设计，采用1.3 MP网络摄像头确定脑电电极位置

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI: 10.1109/BIYOMUT.2010.5479777

G. Şengül, U. Baysal

引用次数: 0