{"title":"CAD for detection of microcalcification and classification in mammograms","authors":"Cansu Akbay, N. G. Gencer, Gül Gençer","doi":"10.1109/BIYOMUT.2014.7026349","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026349","url":null,"abstract":"In this study, computer aided diagnosis (CAD) is developed to detect microcalficication cluster which is one of the important radiological findings of breast cancer diagnosis and classificiation. For this purpose, image processing and pattern recognition algorithms are applied on mamographic images. To make microcalcifications more visible wavelet transform and nonsubsampled contourlet transform (NSCT) methods are used for image enhancement. Their performances are compared. 52 features are extracted from the enhanced images.To reduce the dimension of the feature space, linear discriminant analysis is applied. It is observed that nonsubsampled contourlet transform outperforms the wavelet transform. Microcalcification clusters were classified by using support vector machine (SVM) by 94,6% correct rate.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"33 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":"131469019","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":"Application of online agglomerative hierarchical clustering on real dMRI","authors":"A. Demir, M. Ozkan","doi":"10.1109/BIYOMUT.2014.7026372","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026372","url":null,"abstract":"Magnetic resonance imaging provides diffusion weighted images (DWI), which non-invasively reconstruct the brain white matter pathways through fiber tractography. Fiber clustering algorithms are used to identify anatomically meaningful fiber bundles. Most of the clustering schemes require a (dis)similarity matrix which contains pairwise fiber distances. Computation of the pairwise fiber distances has a quadratic complexity. Online clustering schemes do not require a computation of full pairwise fiber distances, hence the overall clustering computation time is reduced. In this experimental study, we proposed to use an online agglomerative hierarchical clustering algorithm to extract white matter fiber bundles from the whole brain fibers filtered by a spherical region of interest (ROI). This method requires an initialization of the cluster model using a relatively small set of fibers. After the initialization, cluster (re)assignment is performed using the cluster model by updating the model in certain conditions. The experiments are conducted on five different real DWI, for each a spherical ROI is located in different anatomical regions for filtering the whole brain fibers.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"15 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":"132381413","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":"Alkaline and acidic anodization of titanium implants using electrochemistry","authors":"Gizem Ersen, G. Bulus, Yagmur Birgi, F. S. Utku","doi":"10.1109/BIYOMUT.2014.7026346","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026346","url":null,"abstract":"Recent advancements in the medical field has lead to the prolongation of life expectancy and an increase in the elderly population. Consequently, the deterioration of bone health and a shift towards carbohydrate-based dietary habits has lead to an increase in tooth loss and thus to an increase in the use of titanium implants. Titanium and alloys due to their inherent properties such as biocompatibility, corrosion resistance, lower elastic modulus and high strength are preferred in the manufacture of orthopedic and dental implants. There are studies conducted on the further improvement of its medical properties through the development of new manufacturing methods. In this study, improvement of the biocompatibility of Titanium implants by surface etching, functionalization and hydroxyapatite coating has been investigated. Titanium implants been have electrochemically acid-etched using sulphuric and hydrochloric acid, anodized in potassium oxide solution and hydroxyapatite coated in SBF at room temperature.","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":"114782585","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":"Analysis of visual stimulus parameters for SSVEP based brain computer interfaces","authors":"Berrenur Saylam, Ozan Caglayan, R. Arslan","doi":"10.1109/BIYOMUT.2014.7026381","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026381","url":null,"abstract":"Brain computer interface (BCI) is a system which allows communication between human and machine. BCI systems that control wheelchairs, robotic arms etc. by means of brain activity are being developed to facilitate the daily life of people who can not use their limbs due to damage in motor neurons. In this study, the color, distance and frequency of the visual stimuli are investigated to find out the most prominent brain responses for Steady State Visual Evoked Potential (SSVEP) based BCI systems. 7 stimulation frequencies (15,17,19,21,24,27 and 30Hz) and 3 different colors (white, red, green) were used from 35-60-150 cm distances in order to generate visual stimuli. As a result of examination of 504 EEG segments produced by recording 20 seconds of EEG data for each parameter from 8 subjects using Emotiv EEG headset, 15-24Hz frequency band, 60cm distance and red color were found to be the optimum stimulus parameters.","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":"124991001","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 computer based ballistocardiography system","authors":"Nurhan Ozturk, M. Yıldız","doi":"10.1109/BIYOMUT.2014.7026370","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026370","url":null,"abstract":"Ballistocardiography is a measurement method which monitors physiologic parameters such as heart rate and respiration through measuring the vibrations caused by heart beat. In this study, a computer based system which enables monitoring the changes in the heart rate and respiration without any electrical connection with the patient is introduced. It is examined whether this system can be used in monitoring the heart beat velocity and respiration through making comparisons with a commercial data acquisition system. During the study, it is observed that heart beat velocity is determined with a maximum 5% error and respiration frequency with a maximum 5.8%. Furthermore, respiratory standstill can be detected with this system. According to these results, it could be concluded that the system can be used as pre- diagnosis with the aim of monitoring respiration disorders during sleep.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"5 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":"122055461","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}
A. Akgul, Merve Bedeloglu, Çağdaş Topçu, Refik Sever, O. Ozkan, O. Ozkan, H. Uysal, O. Polat, O. H. Colak
{"title":"Investigation of active channels in multi-channel surface arm EMG recordings for 24 different movements","authors":"A. Akgul, Merve Bedeloglu, Çağdaş Topçu, Refik Sever, O. Ozkan, O. Ozkan, H. Uysal, O. Polat, O. H. Colak","doi":"10.1109/BIYOMUT.2014.7026350","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026350","url":null,"abstract":"In this study, a structure based ona Self Organizing Map (SOM) depending on RMS(Root Mean Square), MAV(Mean Absolute Value) and MF(Mean Frequency) features was formed in recording the EMG(Elektromyogram) signals during the performof 24 different movements in hand and fingers to detect of active electrodes.Recorded data with surface EMG electrodes, from 24 channels with 2 kHz sampling frequency as bipolar primarily ispreprocessed. In preprocessing, these data were filtered with 50 Hz notch filter, 3-450 Hz frequency band was selected using the 6th order Butterworth band-pass filter.RMS, MAV and MF features extracting from this EMG data were defined as SOM classifier input. Then, active channels in the classifier output were found for each features and resultswere compared with each other.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"41 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":"116503642","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":"A test platform design for testing knee prostheses","authors":"A. Yilmaz, Tuna Orhanli","doi":"10.1109/BIYOMUT.2014.7026375","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026375","url":null,"abstract":"This study presents an above-knee prosthesis test platform for designing and testing knee prosthesis and shares various kinematic analysis results obtained from this system. The main goal for developing such test platform is to generate the periodic move of above knee activity by using basic control units and electro-mechanic units. This platform helps us to assess the design outcomes of the prosthesis so that test studies become less dependent to human trials. Above-knee prosthesis test platform performance tests were conducted with both an image based motion measurement system and a direct type motion measurement system and analysis results were evaluated for assessing to what extent the natural periodic movement of the hip was approximated with designed electromechanical simulator. This platform giving approximated gait motions is designed to cover long term testing stages of the above knee prostheses. In the last part, the results obtained from the image and sensor based measurement systems are compared for natural movement and artificial movement generated by prosthesis test platform.","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":"133221811","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":"Analysis of mechanomyogram signals for evaluation of muscle fatigue","authors":"S. Okkesim, Kezban Coşkun","doi":"10.1109/BIYOMUT.2014.7026363","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026363","url":null,"abstract":"Muscle Fatigue is the reduction of force generating capacity during muscle contraction. Muscle fatigue is one of the risk factor for musculoskeletal problems, and as a risk factor; it needs to rating of muscle fatigue quantitatively in the field of ergonomics and physiology. However muscle fatigue is not a quantitative value. Therefore, researchers focus on several measurable parameters which can be used to analyze the muscle fatigue such as, pH, blood oxygen and lactate level. One of the signal which can be recorded for analyzing of muscle fatigue quantitatively is mechanomyography (MMG). The aim of this study is to analyze the muscle fatigue during isometric contractions using MMG. MMG signals were recorded from biceps brachii and triceps brachii muscles of six (3 Female, 3 Male) voluntary subject. For feature extraction purposes, were computed root mean square (RMS) value in time domain, mean frequency (MNF) and median frequency (MDF) in frequency domain. The results showed that muscle fatigue can be evaluated from MMG signals.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"18 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":"134479453","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":"Which particule sizes and which nutrient medias should be used in order to observe microorganisms in the operating rooms?","authors":"Selin Yalvarmis, Ayşe Ak, Y. Ulgen","doi":"10.1109/BIYOMUT.2014.7026358","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026358","url":null,"abstract":"In the operating rooms and intensive care units, air quality plays a key role in preventing hospital acquired infections which occur due to airborne microbiological agents. The aim of this project is to evaluate the quality of air and to observe which particule sizes and nutrient medias should be used in order to identify concentrations of airborne bacteria/fungi in the operating rooms by using three different methods. These methods are passive sampling, actie sampling and particule counting methods respectively. Following the general cleaning of the operating rooms which is in accordance with ISO 144644-1:1999 (E) standard related to clean room and associated environments, measurements are performed at temperatures between 21 and 25 °C with 37-75 % relative humidity. In consequence of indications, for microbiological evaluation of air quality in the operating room by using active sampling methods, the best results are acquired with using Tryptic Soy Agar (TSA) and 5 % Sheep Blood Agar with particule sizes between 4,1 and 7,1 μm.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"106 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":"130545655","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}
S. Ozturk, Veli Kaan Aydin, Betul Karakuzu, Aylin Sendemir-Urkmez
{"title":"Investigation of cell localisation pattern in 3 dimensional micro-tissues","authors":"S. Ozturk, Veli Kaan Aydin, Betul Karakuzu, Aylin Sendemir-Urkmez","doi":"10.1109/BIYOMUT.2014.7026351","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2014.7026351","url":null,"abstract":"It is impossible to mimic mammalian tissues by classical two-dimensional (2D) techniques. In this study, it is aimed to take advantage of self-assembly characteristics of cells in physiological conditions to achieve 3D tissues in vitro. Human Osteosarcoma cells (SaOS-2) were co-cultured with human umbilical vein endothelial cells (HUVEC) and human skin fibroblast cells (Detroit) were co-cultured with human skin keratinocyte cells (HS2) in agar gels that were formed using 3D Petri Dish® technique, and localization of cells were examined. Affect of cell number on localization was also investigated via using different cell ratios in co-culture systems. The change over time in the size of micro-tissues was determined using ImageJ program. The fluorescence microscope examination revealed that in SaOS-2 - HUVEC co-culture system, cells were localized randomly, and there wasn't any significant effect of cell number on localization pattern. In HS2 - Detroit co-culture system, fibroblasts were localized in the core and the keratinocytes were found on the outer shell, and cell number didn't affect this pattern. In microtissues formed by HS2 - Detroit co-culture, there was a significant increase in size after 72 hours. In the SaOS-2 - HUVEC co-culture, there was a significant reduction between the first and the fifth hours.","PeriodicalId":428610,"journal":{"name":"2014 18th National Biomedical Engineering Meeting","volume":"5 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":"122298264","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}