{"title":"Numerical analysis of spinal cord stimulation with a 2-electrode percutaneous lead","authors":"Reyhan Zengin, N. G. Gencer, F. Kucukdeveci","doi":"10.1109/BIYOMUT.2014.7026382","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026382","url":null,"abstract":"Spinal cord stimulation (SCS) is a standard treatment method for drug free treatment for chronic pain. In this approach, an electrical current is applied to the region where the chronic pain signals reach the spinal cord and preventing pain sensation from reaching the brain, the pain sensation is been destroyed. To apply current to source of pain, two types of leads are used: percutaneous lead and paddle lead. In this study, numerical studies of current application are done using percutaneous lead with 2-electrode model. Spinal canal is modeled as 3D with epidural fat, CSF, white matter and gray matter tissues. The lead with 2-electrode is placed in epidural fat. One of the electrode is chosen as anode, the other one is as cathode. The surface current density, 70 A/m2, is applied to each electrode. At the contact surface of electrodes and epidural fat, obtained maximum current density is 68.02 mA/cm2 and this value is in the safety limits. The maximum electrical voltage occurred in the spinal canal is 1.14 V and this value is in the interval of perception value for patients.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133800048","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}
Çağdaş Topçu, Merve Bedeloglu, A. Akgul, Refik Sever, O. Ozkan, O. Ozkan, H. Uysal, O. Polat, O. H. Colak
{"title":"Higuchi fractal dimension analysis of surface EMG signals and determination of active electrode positions","authors":"Çağdaş Topçu, Merve Bedeloglu, A. Akgul, Refik Sever, O. Ozkan, O. Ozkan, H. Uysal, O. Polat, O. H. Colak","doi":"10.1109/BIYOMUT.2014.7026348","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026348","url":null,"abstract":"In this study, fractal dimension which used to analysis complexity of the biomedical signals used to determine active channels when performing 24 fingers and wrist movements. The results compared with root mean square (RMS) and mean absolute value (MAV) features. Higuchi fractal dimension (HFD) method was chosen that has high accuracy and linear with theoretical fractal dimension values nevertheless the method is noise sensitive. The noise sensitivity problem was overcome with filtering the signal. Mean Higuchi fractal dimension feature determined using sliding window and active movements obtained that are above of the chosen thresholds for each channels. Correlation of active channels for each movements which was obtained with RMS and HFD features was discussed. Thus a new method was submitted which based on HFD instead of RMS and MAV features.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115573911","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}
{"title":"Respiratory sound classification using perceptual linear prediction features for healthy - Pathological diagnosis","authors":"Sezer Ulukaya, Y. Kahya","doi":"10.1109/BIYOMUT.2014.7026343","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026343","url":null,"abstract":"This study proposes a new model and feature extraction method for the classification of multi-channel respiratory sound data with the final aim of building a diagnosis aid tool for the medical doctor. Fourteen-channel data are processed separately and combined at feature level and fed to the support vector machines with radial basis kernel. Healthy-pathological subject based binary classification is employed where the recall rates for the healthy class and pathological class are 95 percent and 80 percent, respectively. The minimum precision rate is 80 percent. The method, when supported by additional features (adventitious sound frequency, type, etc.), may be employed in clinical practice as an aiding decision maker.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115643181","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}
{"title":"Determination of glucose and Hba1c values in blood from human breath by using Radial Basis Function Neural Network via electronic nose","authors":"Hamdi Melih Saraoglu, Ali Osman Selvi","doi":"10.1109/BIYOMUT.2014.7026340","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026340","url":null,"abstract":"In this study, it is aimed to be determined glucose and HbA1c values in blood from the human breath by using electronic nose. It is known that the rate of acetone in human breath changes in diabetes. Electronic nose data is compared against glucose and HbA1c parameters in blood by using Radial Basis Function Neural Network. The minimum error rate is %24,62 for glucose parameter predictions and the minimum error rate is %14,92 for HbA1c parameter predictions. The work has been conducted in the scope of TUBITAK Project, No: 104E053.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133353","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}
M. Ozyurt, S. Dogan, S. Ozturk, S. I. Gurhan, A. Urkmez
{"title":"Engineering design of in vitro mono-culture model of blood-brain barrier and investigation of methotrexate permeability on the model","authors":"M. Ozyurt, S. Dogan, S. Ozturk, S. I. Gurhan, A. Urkmez","doi":"10.1109/BIYOMUT.2014.7026360","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026360","url":null,"abstract":"Blood-brain barrier (BBB) is a control mechanism that limits the diffusion of many substances to central nervous system through blood, and governs the nutrient diffusivity. This barrier is among the main risk factors for treatment of neurodegenerative diseases, because most drugs designed are protein based, and are either blocked by BBB, or lose their bioavailability significantly. In this study, an in vitro BBB model was designed for testing therapeutics for neurodegenerative diseases, and methotrexate drug permeability was investigated. In the BBB model design step, poly-caprolactone fiber surfaces were prepared by electrospinning to be used as support membrane for cells. The fiber morphology and sizes were determined using polarizing microscopy. Human umbilical vein endothelial cells (HUVEC) and C6 glioma cells were cultured on either side of this membrane. Model's proximity to in vivo models was tested by home-designed transendothelial electrical resistance measuring device; and nicotine was used as a positive control and albumin as a negative control. The effect of Methotrexate was determined indirectly by vitality test, MTT, for MCF-7 breast cancer cells seeded on the bottom of the well plates. The model's proximity to models in the literature and natural blood-brain barrier was specified relatively.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123580130","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}
{"title":"Performance analysis of histogram-threshold method for cancer detection","authors":"Gamze Koç, Y. D. Gokdel, B. Sarıoǧlu","doi":"10.1109/BIYOMUT.2014.7026356","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026356","url":null,"abstract":"In this paper, histogram-threshold method developed for cancer detection using miniaturized confocal microscopy system and its related performance analysis are presented. While doing the performance analysis, the receiver operation characteristics are applied in a novel fashion. Additionally, noise performances of different method are investigated. The highest and lowest success rates with 91.67% and 27.08% are acquired using Entropy Method and Mean Method, respectively.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438803","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}
M. B. Terzi, O. Arikan, A. Abacı, Mustafa Candemir, Mehmet Dedoglu
{"title":"Early diagnosis of acute coronary syndromes with automatic ST/T classifier","authors":"M. B. Terzi, O. Arikan, A. Abacı, Mustafa Candemir, Mehmet Dedoglu","doi":"10.1109/BIYOMUT.2014.7026388","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026388","url":null,"abstract":"In patients with acute coronary syndrome, temporary chest pains together with changes in ECG ST segment and T wave occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes early, a new technique which detects changes in ECG ST/T sections is developed. As a result of implementing the developed technique to real ECG recordings, it is shown that the proposed technique provides reliable detections. Therefore, the developed technique is expected to provide early diagnosis of acute coronary syndromes which will lead to a significant decrease in heart failure and mortality rates.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126693498","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}
{"title":"Development of a biomechanical model for the analysis of the wrist extension and flexion movement","authors":"Kasim Serbest, O. Eldogan, M. Yıldız, M. Çilli","doi":"10.1109/BIYOMUT.2014.7026371","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026371","url":null,"abstract":"The wrist links hand and forearm to each other and it allows movements in two different planes. Thus it has an important role in the mobility of the hand. In previous studies, researchers have analysed the movement of the wrist joint using different mathematical models and methods. In this study, the hand and the wrist have been modelled as a simple pendulum in the sagittal plane. MATLAB&Simulink-based SimMechanics software was used for this process. The joint torque of the wrist during extension and flexion movement of the hand was calculated using motion analysis data. It has been found that the SimMechanics model given useful results.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127943140","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}
{"title":"Investigation of central nervous system neurons under mechanical strain: An in vitro traumatic brain injury model","authors":"O. Duman, Cenk Celik, M. Sarıkanat, A. Urkmez","doi":"10.1109/BIYOMUT.2014.7026384","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026384","url":null,"abstract":"Effects of mechanical loading on development of central nervous system (CNS) cells and neurite extension have been recognized recently. Effects of loading are very complicated, since until a threshold, tension plays a positive role while after the threshold value, it is degenerative. The situation gets more complicated since CNS is made up of several different cell types that respond to various loads differently. There are some mechanical trauma models in the literature, but they usually employ hard and two dimensional culture substrates, which fail to mimic the natural niche of the cells. The aim of this work is to create an experimental model that can mimic the physiological habitat and normal loading conditions, and investigate the responses of CNS cells in response to different mechanical stimuli and strains, and therefore evaluate the effects of mechanical stress on cell development, neurite extension and degeneration, in order to be used in therapeutic investigations for neurodegenerative diseases. Electrospun poly-caprolactone (PCL) scaffolds were used as tissue engineering scaffolds, and B35 central nervous system neuron cell line was employed. Effects of mechanical strain on cell morphology, neurite extension and cytoskeleton, and after the threshold value, on apoptosis have been examined in morphological and molecular level.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127393002","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}
{"title":"Correlation between Hurst exponent and Poincaré parameters in non-linear signal analysis","authors":"G. Ertas, A. U. Keskin","doi":"10.1109/BIYOMUT.2014.7026336","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026336","url":null,"abstract":"In this study, relationship between the Hurst exponent and the Poincaré parameters utilized in analysis of non-linear signals was investigated. A total of 800 artificial signals, composed of signals with eight different lengths and one hundred signals for each length, was produced using fractional Brownian motion signals. “Rescaled Range” analysis was performed to determine Hurst exponent and Poincaré parameters were calculated by performing Poincaré analysis to each signal. Pearson correlation analysis results show that there is no significant correlation between Poincaré parameters and Hurst exponent. However, it should be noted that, in this study, artificial signals have been used. Analysis of actual signals will be the subject of our next study.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129166947","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}