B. Yalçın, Hande Argunşah Bayram, M. Bayram, A. Isık
{"title":"Investigation of Biological Feedback Influence on Posture and Knee Biomechanics During Running","authors":"B. Yalçın, Hande Argunşah Bayram, M. Bayram, A. Isık","doi":"10.1109/BIYOMUT.2017.8479002","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479002","url":null,"abstract":"Biological feedback mechanisms are commonly used in sports and rehabilitation for the purpose of increasing motivation and performance of the athletes/ patients through tactile, audial and visual feedback in real-time. Biological feedback methods favor motor learning by improving motor control in static and dynamic tasks by augmenting motor information that makes it a helpful tool for improving balance, motor control and performance during training. This study aimed exploring the quantification of heart rate optimization via heart rate sensor as well as knee joint range of motion and center of mass during running on treadmill at self-selected pace with and without biological feedback using XSENS MVN (Xsens Technologies BV (Netherlands ®)) wearable 3D motion analysis system. POLAR H10 (Polar, USA) sensor was used to monitor heart rate simultaneously. Therefore, the biological feedback mechanisms used in this investigation not only improved the benefits of the training on treadmill by altering motivation but also explored the advantages of using biological feedback in improving balance and motor control. The data obtained from 10 healthy, unprofessional young participants. The results showed that biological feedback assisted the participants in obtaining more symmetrical, balanced and sustainable training.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115127115","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":"Detection of Exudates from Digital Fundus Images of Diabetic Retinopathy Patients","authors":"Aydin Incedere, S. Arıca","doi":"10.1109/BIYOMUT.2017.8479059","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479059","url":null,"abstract":"Diabetes is a condition where the body does not produce enough insulin to convert sugar to energy, leading to a build up of sugar in the blood. This leads to a number of problems, including diabetic retinopathy. Diabetic retinopathy is a complication of diabetes that causes damage to the blood vessels of the retina that allowing you to see fine detail. It causes progressive damage to the retina. This paper proposes a simple yet an efficient approach for automatic detection of the exudates of the Diabetic Retinopathy. The detection of exudates of diabetic retinopathy is composed of eight steps: 1. RGB to gray conversion. 2. Moving mean to 0.5 3. Max Filter 4. Threshold specification 5. Optic disk removal 6. Remove of objects which is not exudates 7. Thresholding original image using the specified exudate regions 8. Computing statistical measures.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447819","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}
Kadir Gok, E. N. Doger, M. B. Goztepe, Melahat Gok, H. Uysal, O. Ozkan, O. Ozkan, E. Dogan, E. Barcin, U. Şenol, I. Bilge, A. Şavklıyıldız, Feza Carlak, O. Polat, O. H. Colak
{"title":"Mapping of Hand and Face Representations Areas in Cerebral Cortex with Transcranial Magnetic Stimulation","authors":"Kadir Gok, E. N. Doger, M. B. Goztepe, Melahat Gok, H. Uysal, O. Ozkan, O. Ozkan, E. Dogan, E. Barcin, U. Şenol, I. Bilge, A. Şavklıyıldız, Feza Carlak, O. Polat, O. H. Colak","doi":"10.1109/BIYOMUT.2017.8479082","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479082","url":null,"abstract":"Transcranial Magnetic Stimulation is a noninvasive magnetic stimulation of the motor cortex and motor pathways. Responses obtained from the target muscles through TMS can be evaluated electrophysiologically. There are 20 healthy volunteers who use the right hand actively in the study. There are active right hand 20 healthy volunteers in the study. Two sEMG electrodes are placed in the Abductor Pollicis Brevis (APB) and Orbicularis Oris (O.oris) muscles. APB muscle constitutes a hand representative in the cortical motor mapping. O.Oris muscle constitutes a face representative in the cortical motor mapping. The position, amplitude and latency values of muscular action potentialsinduced by magnetic stimulation are determined by signal processing methods. The results are mapped on 3-D human model. When the right-hand representation map is examined, the hot spot of the APB muscle is found as the C1. While the motor potential of the hot spot is 6.89(±1.67) mV, the latency time is 20.98(±0.87) ms. When the right-face representation map is examined, the hot spot of the O.Oris muscle's found as the F5. While the motor potential of the hot spot is 2.83(±1.81) mV, the latency time is 4.95(±0.05) ms. Moreover, the face representation intersects with the hand representation at some points and is active at distances close to the hand representation.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462645","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 Computational Model of Basal Ganglia Circuit Established with Spiking Neural Network","authors":"Mustafa Yasir Ozdemir, N. Sengor","doi":"10.1109/BIYOMUT.2017.8479123","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479123","url":null,"abstract":"A computational model has been established using the Spiking Neural Network model of the basal ganglia circuit, which plays an active role in cognitive processes such as decision making and movement selection. At this point, we aim to have an idea about cellular and group-based processes. The Izhikevich neuron model was used as a cell model and Hebbian learning rule was applied for synaptic connections. The results were evaluated on raster plots and firing rates and results which obtained with a similar work have been obtained nearly.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117307928","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. Uslu, Tunca Nuzket, Guney Zeybek, M. B. Goztepe, B. Ci̇nemre, Ozge Baysal, M. Canpolat
{"title":"Investigation of Lateralization Effect in Prefrontal Cortex Activation During Verbal Fluency Test by Near Infrared Spectroscopy","authors":"S. Uslu, Tunca Nuzket, Guney Zeybek, M. B. Goztepe, B. Ci̇nemre, Ozge Baysal, M. Canpolat","doi":"10.1109/BIYOMUT.2017.8479247","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479247","url":null,"abstract":"Neuropsychological tests are used to determine the lesion effect in many neurological and psychiatric disorders or to follow the situation of the patient. In recent years it has been shown that examining the haemodynamic changes of the cortex during these tests gives better results. One of the methods used in this monitoring is the functional Near Infrared Spectroscopy. In the study, hemodynamic changes in the cortex of 10 healthy subjects were recorded during the Verbal Fluency Test (both semantic and phonetic) with the near Infrared Spectroscopy system and the results were examined to determine the lateralization. During the test, activation of the prefrontal cortex was examined by laterelisation index and left hemisphere showed more activation. Findings obtained in the study are consistent with the literature and contribute to the formation of normative data for Turkish society.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127393349","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":"Region Proposal Networks in Domain Generalization of MR Landmark Detection","authors":"A. E. Yetkin, A. Hamamci","doi":"10.1109/BIYOMUT.2017.8479189","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479189","url":null,"abstract":"In this study, landmark detectors which are trained on head model obtained using magnetic resonance (MR) images, are applied on the optical camera images of the same subject. 2 different CNN based region proposal networks are employed for this purpose. The problem due to the domain discrepancy between the training and application domains is considered in domain generalization framework. Although, the performance of both networks on their training domain (MRI) were similar, their performance on the target domain (camera images) differ significantly.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125964661","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":"Max-Min Space Approach for Acoustic Signal Analysis","authors":"H. Ankishan, U. Baysal","doi":"10.1109/BIYOMUT.2017.8479269","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479269","url":null,"abstract":"Acoustic signals having pathological problem are difficult to discriminate from each other. Despite the presence of many features, the difficulties arise from the chaotic and nonlinear nature of these voices. Unlike the existing features, a new feature and feature space are emphasized in this study. Considering the maximum and minimum values of acoustic signals at certain time intervals, the relation between them is revealed and Max-Min space is created. Experimental studies have shown that the space distribution between pathological and normal sounds is completely separated from each other and that the space-scattering field sizes are different from each other. As a result of the studies, a time-based feature is introduced which allows the separation of chaotic and nonlinear acoustic signals in the literature.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114717045","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}
T. Mercan, Gençay Sevim, H. Kazanci, Y. A. Üncü, M. Canpolat
{"title":"Comparison of Images Produced by Diffuse Optical Tomography with Two Different Backscatter Techniques","authors":"T. Mercan, Gençay Sevim, H. Kazanci, Y. A. Üncü, M. Canpolat","doi":"10.1109/BIYOMUT.2017.8479038","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479038","url":null,"abstract":"Currently, there are several devices have been used for diagnosis of breast cancer such as X-ray tomography ultrasound and MRI. These devices sending harmful photons to the body, costly, lack of resolution and portability. Therefore searching new methods to diagnose breast cancer are necessity. One of these methods is Diffuse Optical Tomography (DOT). In DOT study, 808 nm wavelength laser which has a high penetration to tissue is used. In in-vitro experiments, DOT measurements were acquired from a breast phantom was mixture of water and 1% Intralipid. Indocyanine green (ICG) was added to the mixture to make absorption coefficient 0.04 cm-1, similar to the breast tissue. A transparent balloon was filled Intralipid and ICG with absorption coefficient of 0.16 cm-1 to mimic tumor inclusion 3D Image of breast phantoms were created by using Algebraic Reconstruction Technique (ART) and Truncated Conjugate Gradient (TCG) methods. The results obtained by the TCG algorithm are closer to the real, which is the closest of inclusion's dimensions and contains less artifact. The system which we use consists of 2401 measurement and 2250 voxels so it is called as over-determined systems. According to findings, we inference that TCG algorithm works better than ART for over-determined system.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"92 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132227156","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}
Kasim Serbest, Murat Cilla, M. Yıldız, I. Tekeoğlu, D. Karayel, O. Eldogan
{"title":"Effect of an Exercise Glove with Spring Mechanism on Extensor and Flexor Muscle Activation","authors":"Kasim Serbest, Murat Cilla, M. Yıldız, I. Tekeoğlu, D. Karayel, O. Eldogan","doi":"10.1109/BIYOMUT.2017.8478992","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8478992","url":null,"abstract":"In this study, it was aimed to investigate the effects of an exercise glove developed by our research team on hand muscles. Within this scope, clinical investigations were carried out on volunteer healthy subjects. Subjects performed the exercises both wearing the glove and without glove. EMG was measured on extensor and flexor muscles during the exercises. Muscle activations were compared by the amplitude analysis during exercises with and without the glove. It is understood that exercises with the glove increase extensor and flexor muscle activations. This glove can be adapted to rehabilitation devices by integrating with different actuators. In addition, this glove can also be used in order to strengthen the hand muscles.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132401248","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":"Effect of Finger Velocity on Frictional Forces Modulated by Electrovibration","authors":"Omer Sirin, Mehmet Ayyildiz, C. Basdogan","doi":"10.1109/BIYOMUT.2017.8479007","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479007","url":null,"abstract":"We investigate the effect of sliding velocity on frictional forces between human finger and a touch screen actuated by electrostatic forces. For this purpose, we command a motorized slider to move human finger back and forth (one stroke) in horizontal direction at 9 different velocities (2, 5, 10, 20, 30, 40, 50, 60, 70 mm/s) while the finger is in contact with the touch screen and record the tangential forces for the normal forces varied in a controlled manner from 0.1 N to 0.9 N. During the experiments, the electrostatic forces were turned “ON” and “OFF” after every other stroke. The results of the experiments show that the data can be categorized into two groups: 1) stickslip and 2) sliding, which occurs at velocities higher than and equal to 30 mm/s. After grouping, we fit a nonlinear function in the form of Fτ = aFηb to the sliding data recorded for the “OFF” and “ON” conditions. Using the fit functions, we show that the magnitude of the electrostatic forces increases from 50 to 310 mN as the normal force is increased from 0.1 N to 0.9 N.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130209197","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}