Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130283
Y. Z. Atesçi, Omer Karal, Murat Çinar, Utku Senturk, Mehmet Erkek
Urinary bladder having a function of storing urine, covered by mucosa and having muscle layer on its wall is a global organ. There are two main functions of the bladder. 1- Storing urine with low-pressure as possible until the maximum filling capacity 2- during urination absolutely excreting the urine by maximum compressive force.
{"title":"The influence of the bladder geometry to the bladder pressure and urine flow","authors":"Y. Z. Atesçi, Omer Karal, Murat Çinar, Utku Senturk, Mehmet Erkek","doi":"10.1109/BIYOMUT.2009.5130283","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130283","url":null,"abstract":"Urinary bladder having a function of storing urine, covered by mucosa and having muscle layer on its wall is a global organ. There are two main functions of the bladder. 1- Storing urine with low-pressure as possible until the maximum filling capacity 2- during urination absolutely excreting the urine by maximum compressive force.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735901","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130293
Koray Ozdal Ozkan, N. G. Gencer
In this study, performance results of data acquisition systems realized for “electrical conductivity imaging of biological tissues via contactless measurement”, a new imaging modality developed in METU Brain Research Laboratories, are presented. Each system, employing magnetic induction-magnetic measurements technique, obtains conductivity data from the object to be imaged via contactless measurements and sends the data to the PC. The operating frequencies of the systems are between 10–100 kHz. The sensor types used in the systems are: 1) differential coil, 2) single coil, and 3) array coils. It is observed from the experiments that all of the systems are sensitive to the conductivity variations around the average tissue conductivity of 0.2 S/m. The results reveal the clinical potential of the relatively novel imaging modality developed in METU Brain Research Laboratories
{"title":"Electrical conductivity imaging via contactless measurements: Data acquisition systems developed in METU Brain Research Laboratories","authors":"Koray Ozdal Ozkan, N. G. Gencer","doi":"10.1109/BIYOMUT.2009.5130293","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130293","url":null,"abstract":"In this study, performance results of data acquisition systems realized for “electrical conductivity imaging of biological tissues via contactless measurement”, a new imaging modality developed in METU Brain Research Laboratories, are presented. Each system, employing magnetic induction-magnetic measurements technique, obtains conductivity data from the object to be imaged via contactless measurements and sends the data to the PC. The operating frequencies of the systems are between 10–100 kHz. The sensor types used in the systems are: 1) differential coil, 2) single coil, and 3) array coils. It is observed from the experiments that all of the systems are sensitive to the conductivity variations around the average tissue conductivity of 0.2 S/m. The results reveal the clinical potential of the relatively novel imaging modality developed in METU Brain Research Laboratories","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127944068","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130298
Ozgun Baser, L. Çetin, E. Uyar
In this survey, kinematic analysis of a poly-centric knee joint which is used widely for the patients having trans-femoral amputation are performed for the stance phase of the walking procedure. The main approach of the study is to design a poly-centric knee mechanism which can be able to realize the trajectory of a single axis knee joint and do kinematic analysis of this poly-centric mechanism. For this purpose, knee joint positions and angular changes in the knee joint are obtained for a single axis knee mechanism in order to satisfy the natural walking conditions of hip joint and artificial foot joint at the stance leg phase of walking. All the needed parameters for each axis of a poly-centric knee mechanism are calculated according to these data found from single-axis knee mechanism. Poly-centric mechanism used in the analyses is designed as a classical four-bar mechanism. By using this knee joint, it is aimed to make a positive effect to the walking stability of the amputee.
{"title":"Kinematic analysis of polycentric artificial knee joint","authors":"Ozgun Baser, L. Çetin, E. Uyar","doi":"10.1109/BIYOMUT.2009.5130298","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130298","url":null,"abstract":"In this survey, kinematic analysis of a poly-centric knee joint which is used widely for the patients having trans-femoral amputation are performed for the stance phase of the walking procedure. The main approach of the study is to design a poly-centric knee mechanism which can be able to realize the trajectory of a single axis knee joint and do kinematic analysis of this poly-centric mechanism. For this purpose, knee joint positions and angular changes in the knee joint are obtained for a single axis knee mechanism in order to satisfy the natural walking conditions of hip joint and artificial foot joint at the stance leg phase of walking. All the needed parameters for each axis of a poly-centric knee mechanism are calculated according to these data found from single-axis knee mechanism. Poly-centric mechanism used in the analyses is designed as a classical four-bar mechanism. By using this knee joint, it is aimed to make a positive effect to the walking stability of the amputee.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121133078","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130372
Omer Kayaalti, M. H. Asyali, I. Tuna, A. Durak
Images which are obtained in clinical radiology are generally evaluated visually. Some information which is available in the images, but not possible to be seen visually can be useful for diagnosis of some diseases. Cyst hydatid which is a parasitic liver disease is still an important health problem in countries where animal breeding is widespread. In this study, we aimed at producing some objective measures using image analysis, which will be of assistance in the diagnosis of cyst hydatid. The prevalence rate of this condition is relatively high in Turkey. In order to differentiate between regions of liver with cyst hydatid and healthy parenchymal tissues, we have used second order texture features computed from gray level cooccurrence matrix of liver CT images. We have then used these features from the two groups in designing a classifier using probabilistic neural network. Our results indicate that the texture features computed from the gray level cooccurrence matrix do not constitute a good candidate to be used in classification and/or diagnosis of liver tissue as normal or cystic. This must be due to homogeneity of these two tissue types within themselves.
{"title":"Texture analysis of liver hydatid cyst","authors":"Omer Kayaalti, M. H. Asyali, I. Tuna, A. Durak","doi":"10.1109/BIYOMUT.2009.5130372","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130372","url":null,"abstract":"Images which are obtained in clinical radiology are generally evaluated visually. Some information which is available in the images, but not possible to be seen visually can be useful for diagnosis of some diseases. Cyst hydatid which is a parasitic liver disease is still an important health problem in countries where animal breeding is widespread. In this study, we aimed at producing some objective measures using image analysis, which will be of assistance in the diagnosis of cyst hydatid. The prevalence rate of this condition is relatively high in Turkey. In order to differentiate between regions of liver with cyst hydatid and healthy parenchymal tissues, we have used second order texture features computed from gray level cooccurrence matrix of liver CT images. We have then used these features from the two groups in designing a classifier using probabilistic neural network. Our results indicate that the texture features computed from the gray level cooccurrence matrix do not constitute a good candidate to be used in classification and/or diagnosis of liver tissue as normal or cystic. This must be due to homogeneity of these two tissue types within themselves.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121105357","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130260
M. E. Çek, F. A. Savaci, Murat Ozgiren
In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer function (DTF) which are function of frequency within the values 0 and 1. When the post-stimulus time interval was analyzed it was observed that both of the methods illustrates the frequency localization where the information flow occurs and the estimation could be performed by given methods. The frequency resolution of the methods depends on the sampling rate and model order. It was determined that the given methods are matched with each other.
{"title":"Estimation of partial directed coherence and direction of information flow with auditory evoked potentials","authors":"M. E. Çek, F. A. Savaci, Murat Ozgiren","doi":"10.1109/BIYOMUT.2009.5130260","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130260","url":null,"abstract":"In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer function (DTF) which are function of frequency within the values 0 and 1. When the post-stimulus time interval was analyzed it was observed that both of the methods illustrates the frequency localization where the information flow occurs and the estimation could be performed by given methods. The frequency resolution of the methods depends on the sampling rate and model order. It was determined that the given methods are matched with each other.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128498120","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130290
D. Yilmaz, M. Yıldız
In this work, the effect of the electromagnetic radiation generated by mobile phone, on the heart rate variability (HRV) has been investigated using correlation dimension calculation which is a nonlinear analysis method. The 17 volunteer subjects participated to our work and the experiment is designed as three periods and each period have 7 minutes. The electrocardiogram (ECG) signals were recorded from volunteers who are in the sitting position between the base station and mobile phone and mobile phone attached to the right ear of the subject by a bone. The mobile phone is continuously called by another mobile phone at the second period for 9 subjects and at the third period for 8 subjects, randomly. Mobile phone was open and standby condition, at the other periods. The HRV signals were obtained from ECG signals and correlation dimension analysis has been performed. The student-t test was applied to the correlation dimension values calculated from mobile phone calling and standby conditions. The correlation dimension that belongs to mobile phone calling condition is found higher than mobile phone standby condition (p≪0.05). The correlation dimension gives the minimum number of independent variables necessary to generate the system dynamics. The results show that the number of variables managed to the cardiovascular system behavior increase by reason of electromagnetic radiation generated by mobile phone.
{"title":"Analysis of the mobile phone effect on the heart rate variability by the calculation of correlation dimension","authors":"D. Yilmaz, M. Yıldız","doi":"10.1109/BIYOMUT.2009.5130290","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130290","url":null,"abstract":"In this work, the effect of the electromagnetic radiation generated by mobile phone, on the heart rate variability (HRV) has been investigated using correlation dimension calculation which is a nonlinear analysis method. The 17 volunteer subjects participated to our work and the experiment is designed as three periods and each period have 7 minutes. The electrocardiogram (ECG) signals were recorded from volunteers who are in the sitting position between the base station and mobile phone and mobile phone attached to the right ear of the subject by a bone. The mobile phone is continuously called by another mobile phone at the second period for 9 subjects and at the third period for 8 subjects, randomly. Mobile phone was open and standby condition, at the other periods. The HRV signals were obtained from ECG signals and correlation dimension analysis has been performed. The student-t test was applied to the correlation dimension values calculated from mobile phone calling and standby conditions. The correlation dimension that belongs to mobile phone calling condition is found higher than mobile phone standby condition (p≪0.05). The correlation dimension gives the minimum number of independent variables necessary to generate the system dynamics. The results show that the number of variables managed to the cardiovascular system behavior increase by reason of electromagnetic radiation generated by mobile phone.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134592432","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130322
O. Eroğul, M. Sipahi, Y. Tunca, S. Vurucu
In the present study, image processing algorithms have been applied to face photos of the patients diagnosed by Down syndrome for development of a pre-diagnostic tool. The data sets evaluated in this study are collected from children whose ages range from 5 to 6. In each of normal syndrome groups; 18 photos of the children are analyzed. The critical points on faces are obtained by using elastic face bunch graph method for all photos. 10 feature vectors are applied to artificial neural network for both training and classification. In results Down syndrome can be pre-diagnosed with the accuracy of 68,7 percent by using neural network.
{"title":"Recognition of Down syndromes using image analysis","authors":"O. Eroğul, M. Sipahi, Y. Tunca, S. Vurucu","doi":"10.1109/BIYOMUT.2009.5130322","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130322","url":null,"abstract":"In the present study, image processing algorithms have been applied to face photos of the patients diagnosed by Down syndrome for development of a pre-diagnostic tool. The data sets evaluated in this study are collected from children whose ages range from 5 to 6. In each of normal syndrome groups; 18 photos of the children are analyzed. The critical points on faces are obtained by using elastic face bunch graph method for all photos. 10 feature vectors are applied to artificial neural network for both training and classification. In results Down syndrome can be pre-diagnosed with the accuracy of 68,7 percent by using neural network.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125675459","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130270
M. Çiftçioğlu, E. Akkoyun, D. Gokcay
In this study, a method that improves the segmentation quality in the subcortical area of the brain using Bayesian approach is proposed. The tissue probability density functions and volume ratios which are required during segmentation are calculated by using only the subcortical area while taking a single atlas as the reference, and the contribution of this prior information on segmentation is shown. As a difference from classical Bayesian approaches, the proposed method is applied only in the segmentation of subcortical region, while cortical segmentation is performed exclusively by another method whose success is widely accepted. Then these results are merged generating a hybrid solution.
{"title":"Improvement of segmentation in sub-cortical area in MR images of the brain","authors":"M. Çiftçioğlu, E. Akkoyun, D. Gokcay","doi":"10.1109/BIYOMUT.2009.5130270","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130270","url":null,"abstract":"In this study, a method that improves the segmentation quality in the subcortical area of the brain using Bayesian approach is proposed. The tissue probability density functions and volume ratios which are required during segmentation are calculated by using only the subcortical area while taking a single atlas as the reference, and the contribution of this prior information on segmentation is shown. As a difference from classical Bayesian approaches, the proposed method is applied only in the segmentation of subcortical region, while cortical segmentation is performed exclusively by another method whose success is widely accepted. Then these results are merged generating a hybrid solution.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115218405","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130351
A. Guven, Ayse Ozturk Oner, S. Kara
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing intense interests of scientists. The retinal fundus photographs are widely used in the diagnosis and treatment of various eye diseases in clinics. OD detection is a main step while developing automated screening systems for a lot of eye diseases. This study describes the methods to detect OD and fovea regions main features of fundus images. To determine the OD we find the brightest part of the fundus. The candidate region of fovea is defined and area circle. The detection of fovea is done by using its spatial relationship with OD.
{"title":"Automated location of optic disk and fovea in color fundus images","authors":"A. Guven, Ayse Ozturk Oner, S. Kara","doi":"10.1109/BIYOMUT.2009.5130351","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130351","url":null,"abstract":"Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing intense interests of scientists. The retinal fundus photographs are widely used in the diagnosis and treatment of various eye diseases in clinics. OD detection is a main step while developing automated screening systems for a lot of eye diseases. This study describes the methods to detect OD and fovea regions main features of fundus images. To determine the OD we find the brightest part of the fundus. The candidate region of fovea is defined and area circle. The detection of fovea is done by using its spatial relationship with OD.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122556188","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}
Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130315
A. B. Usakli, S. Gurkan
In this study, the design strategy of a novel electrooculugram (EOG) based human computer interface (HCI) and its application are presented. Due to eye movements electric potentials are generated accross the cornea and retina. This electrical potentials are the source of the EOG signal. To establish a new channel of communication between patients having motor neuron problems and their envioriment is important to make their life easy. Using EOG for HCI is more efficient than electroencephalogram based methods for patients who are still able to move their eyes. The novel system is microcontroller based and has 85 dB over-all common mode rejection ratio, 0.6 µV(p-p) input-referred noise and 176 Hz sampling rate. The subject can write a 5 letter word in 25 seconds. Nearest neighborhood method is used for classification and its performance is 92%.
{"title":"A novel electrooculogram-based human computer interface and its application as a virtual keyboard","authors":"A. B. Usakli, S. Gurkan","doi":"10.1109/BIYOMUT.2009.5130315","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130315","url":null,"abstract":"In this study, the design strategy of a novel electrooculugram (EOG) based human computer interface (HCI) and its application are presented. Due to eye movements electric potentials are generated accross the cornea and retina. This electrical potentials are the source of the EOG signal. To establish a new channel of communication between patients having motor neuron problems and their envioriment is important to make their life easy. Using EOG for HCI is more efficient than electroencephalogram based methods for patients who are still able to move their eyes. The novel system is microcontroller based and has 85 dB over-all common mode rejection ratio, 0.6 µV(p-p) input-referred noise and 176 Hz sampling rate. The subject can write a 5 letter word in 25 seconds. Nearest neighborhood method is used for classification and its performance is 92%.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124946424","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}
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