Pub Date : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479775
E. O. Isik, S. Nelson
In this study, we analyzed the MR spectroscopic and MR diffusion weighted imaging parameter differences among the subtypes of grade 3 brain tumor patients (anaplastic astrocytoma, oligodendroglioma, and oligoastrocytoma). We observed higher lipid values in the tumor regions of oligodendrogliomas than both astrocytomas and oligoastrocytomas. According to these results, there were not significant MR spectroscopic or MR diffusion differences between the subtypes of grade 3 brain tumors for this patient population and except lipid it would be acceptable to combine the data of these subgroups for future studies.
{"title":"The differences of MR spectroscopic imaging and MR diffusion weighted imaging parameters in different subtypes of grade 3 gliomas","authors":"E. O. Isik, S. Nelson","doi":"10.1109/BIYOMUT.2010.5479775","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479775","url":null,"abstract":"In this study, we analyzed the MR spectroscopic and MR diffusion weighted imaging parameter differences among the subtypes of grade 3 brain tumor patients (anaplastic astrocytoma, oligodendroglioma, and oligoastrocytoma). We observed higher lipid values in the tumor regions of oligodendrogliomas than both astrocytomas and oligoastrocytomas. According to these results, there were not significant MR spectroscopic or MR diffusion differences between the subtypes of grade 3 brain tumors for this patient population and except lipid it would be acceptable to combine the data of these subgroups for future studies.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"17 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":"114136861","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479806
A. Yardimci
Muscle stimulation with a series of electrical shocks is a method which is used mostly in rehabilitation and sport health areas. These devices are used for esthetic purposes beside medicine. In this paper we present a low impact muscle stimulator developed by us. Our portable system has come to the fore among similar products on the market with its low cost, low power consumption and high security features.
{"title":"The low impact portable muscle stimulator","authors":"A. Yardimci","doi":"10.1109/BIYOMUT.2010.5479806","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479806","url":null,"abstract":"Muscle stimulation with a series of electrical shocks is a method which is used mostly in rehabilitation and sport health areas. These devices are used for esthetic purposes beside medicine. In this paper we present a low impact muscle stimulator developed by us. Our portable system has come to the fore among similar products on the market with its low cost, low power consumption and high security features.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"100 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":"124108936","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479783
M. Yıldız, Burak Güçlü
Tactile perception originates in the four psychophysical tactile channels. These channels are mediated by four corresponding receptor systems. Particularly, for the Pacinian tactile channel, the lowest tactile threshold of humans is approximately at 250 Hz. In this study, we measured frequency-following brain responses to 250-Hz vibratory stimuli with intensities at varying sensation levels. Initially, the absolute threshold of the Pacinian channel was measured using the two-interval forced-choice paradigm. The experiments were repeated with a masking stimulus (frequency: 250 Hz; intensity: SL+10, SL+20, SL+30 dB) which preceded the test-stimulus interval. As a result, the masked thresholds were elevated as a function of the masking-stimulus level, consistent with previous studies. Then, EEG signals were recorded over the somatosensory cortex (CPc-CPi) during vibrotactile stimulation, using the same protocol as described in psychophysical part of the experimets. The EEG signals were averaged 500 times, and analyzed by using Fourier and wavelet transforms. The difference between the total area of power spectrum during the masked test-stimulus and during the unmasked test stimulus interval was significant for SL+30 masking level (Wilcoxon signrank test p=0.013). In addition, the difference of power spectrum area at driving frequency between two cases was significant for SL+20 and SL+30 masking level p=0.013 and p=0.019 respectively. This is the first time that a neural correlate of psychophysical forward masking is demonstrated in the tactile system.
{"title":"The effect of psychophysical forward masking in the tactile Pacinian channel on somatosensory evoked responses","authors":"M. Yıldız, Burak Güçlü","doi":"10.1109/BIYOMUT.2010.5479783","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479783","url":null,"abstract":"Tactile perception originates in the four psychophysical tactile channels. These channels are mediated by four corresponding receptor systems. Particularly, for the Pacinian tactile channel, the lowest tactile threshold of humans is approximately at 250 Hz. In this study, we measured frequency-following brain responses to 250-Hz vibratory stimuli with intensities at varying sensation levels. Initially, the absolute threshold of the Pacinian channel was measured using the two-interval forced-choice paradigm. The experiments were repeated with a masking stimulus (frequency: 250 Hz; intensity: SL+10, SL+20, SL+30 dB) which preceded the test-stimulus interval. As a result, the masked thresholds were elevated as a function of the masking-stimulus level, consistent with previous studies. Then, EEG signals were recorded over the somatosensory cortex (CPc-CPi) during vibrotactile stimulation, using the same protocol as described in psychophysical part of the experimets. The EEG signals were averaged 500 times, and analyzed by using Fourier and wavelet transforms. The difference between the total area of power spectrum during the masked test-stimulus and during the unmasked test stimulus interval was significant for SL+30 masking level (Wilcoxon signrank test p=0.013). In addition, the difference of power spectrum area at driving frequency between two cases was significant for SL+20 and SL+30 masking level p=0.013 and p=0.019 respectively. This is the first time that a neural correlate of psychophysical forward masking is demonstrated in the tactile system.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"5 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":"130708682","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479852
M. Sezdi
In this study, a project was developed for performance control of the medical devices in the Cerrahpasa Health Faculty in Istanbul University. The calibration measurements of these medical devices were performed and the measurement results were interpreted in according to the IPM “Inspection and Preventive Maintenance System” procedures which are developed by ECRI (Emergency Care Research Institute). By using these results, the statistical graphics and values were obtained. In the developed project, CSS(Cascading Style Sheets), PHP(Personal Home Page), MySQL(Structured Query Language) and JavaScript languages which are implemented to the XHTML(Extensible HyperText Markup Language), were used. With this study, it was thought that the following of the medical devices in the Health Faculty could be easier. The usibility of this study's result showed how much we were right. For the future, we have the preparations to expand this study to the other departments and Çapa Health Faculty in I.U.
{"title":"Performance control of medical devices in the Cerrahpaşa Faculty of Medicine in Istanbul University","authors":"M. Sezdi","doi":"10.1109/BIYOMUT.2010.5479852","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479852","url":null,"abstract":"In this study, a project was developed for performance control of the medical devices in the Cerrahpasa Health Faculty in Istanbul University. The calibration measurements of these medical devices were performed and the measurement results were interpreted in according to the IPM “Inspection and Preventive Maintenance System” procedures which are developed by ECRI (Emergency Care Research Institute). By using these results, the statistical graphics and values were obtained. In the developed project, CSS(Cascading Style Sheets), PHP(Personal Home Page), MySQL(Structured Query Language) and JavaScript languages which are implemented to the XHTML(Extensible HyperText Markup Language), were used. With this study, it was thought that the following of the medical devices in the Health Faculty could be easier. The usibility of this study's result showed how much we were right. For the future, we have the preparations to expand this study to the other departments and Çapa Health Faculty in I.U.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"6 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":"129904890","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479773
Berna Akinci, N. G. Gencer
Brain Computer Interface (BCI) is a system in which people can interact with electronic devices without using any body movement but only the brain activity itself. In this system, the brain signals obtained from the scalp surface are analysed from the EEG records. Aiming the discrimination of left and right hand movement imaginations (2 classes), an online cue-based BCI system has been developed in this study. In the offline analysis, feature extraction is performed by using Distinctive-Sensitive Learning Vector Quantization and Time-Frequency Analysis methods and training model is created from these features. This model is used in online classification and the result is given as a feedback. Using these methods, the cross-validation accuracy of the offline system is found to be 87% which yields an online prediction accuracy of 97% on a single subject.
{"title":"Online cue-based discrimination of left / right hand movement imagination","authors":"Berna Akinci, N. G. Gencer","doi":"10.1109/BIYOMUT.2010.5479773","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479773","url":null,"abstract":"Brain Computer Interface (BCI) is a system in which people can interact with electronic devices without using any body movement but only the brain activity itself. In this system, the brain signals obtained from the scalp surface are analysed from the EEG records. Aiming the discrimination of left and right hand movement imaginations (2 classes), an online cue-based BCI system has been developed in this study. In the offline analysis, feature extraction is performed by using Distinctive-Sensitive Learning Vector Quantization and Time-Frequency Analysis methods and training model is created from these features. This model is used in online classification and the result is given as a feedback. Using these methods, the cross-validation accuracy of the offline system is found to be 87% which yields an online prediction accuracy of 97% on a single subject.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"65 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":"125512485","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479738
Ceren Bora, Y. Serinağaoğlu, E. Tönük
In this study, electrical and mechanical properties of the heart tissue are modeled for normal heart beat. Contraction of the tissue via electrical activation has also been considered in terms of time synchronization. “Cellular automaton” method is used for modeling the 2 dimensional heart tissue and electromechanical interactions. Using this method, both the normal heart beat's electrical activation and the arrhythmia excitation could be taken on, without using complex differential equations. To consider the anisotropy of the heart tissue, fiber orientations have also been added to the model.
{"title":"Electromechanical heart tissue model using cellular automaton","authors":"Ceren Bora, Y. Serinağaoğlu, E. Tönük","doi":"10.1109/BIYOMUT.2010.5479738","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479738","url":null,"abstract":"In this study, electrical and mechanical properties of the heart tissue are modeled for normal heart beat. Contraction of the tissue via electrical activation has also been considered in terms of time synchronization. “Cellular automaton” method is used for modeling the 2 dimensional heart tissue and electromechanical interactions. Using this method, both the normal heart beat's electrical activation and the arrhythmia excitation could be taken on, without using complex differential equations. To consider the anisotropy of the heart tissue, fiber orientations have also been added to the model.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"42 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":"117294392","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479816
E. Uzunhisarcikli, T. Koza, M. Kaya, İdris Ardiç
In this study, entropy is calculated from sub-bands of clinical mitral valve Doppler signals DWT (Discrete Wavelet Tranform). Calculated entropy values are compared for healthy and patient mitral valve regurgitation. This study comprises two stages. In the first stage, mitral valve Doppler signals are divided sub-bands with DWT and changed values are determined on the frequency spectrum. In the second stage, entropy are calculated each sub-bands which determined with DWT. As a result, different features are obtained between mitral valve regurgitation and healthy patients. These features can help to diagnosis using artificial intelligence techniques or expert systems.
{"title":"Determination of feature for mitral valve Doppler signals","authors":"E. Uzunhisarcikli, T. Koza, M. Kaya, İdris Ardiç","doi":"10.1109/BIYOMUT.2010.5479816","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479816","url":null,"abstract":"In this study, entropy is calculated from sub-bands of clinical mitral valve Doppler signals DWT (Discrete Wavelet Tranform). Calculated entropy values are compared for healthy and patient mitral valve regurgitation. This study comprises two stages. In the first stage, mitral valve Doppler signals are divided sub-bands with DWT and changed values are determined on the frequency spectrum. In the second stage, entropy are calculated each sub-bands which determined with DWT. As a result, different features are obtained between mitral valve regurgitation and healthy patients. These features can help to diagnosis using artificial intelligence techniques or expert systems.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"65 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":"124498709","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479856
A. Özkan, S. Kara, A. Sallı, S. Günes
In this study, Doppler signals received from the radial artery of the right hands of the 40 healthy subjects and 40 patients with rheumatoid arthritis were recorded. Some features of these signals were obtained using Subspace-based MUSIC method which is one of the spectral analysis methods, and the diseased cases were distinguished with Artificial Neural Networks classification method. In MUSIC method, 5,10,15,20 and 25 were used as model degrees. Test procedure was carried out after training with Artificial Neural Networks. Classification accuracy after the test results was 88.75% for 5 model degrees, 93.75% for 10 and 25 model degrees, 100% for 15 model degrees and 92.5% for 20 model degrees and all models had an average degree of 93.75% classification accuracy was obtained. The proposed approach has potential to help with the early diagnosis of RA disease for the specialists who study this subject.
{"title":"Analysis of Doppler signals of radial artery for diagnosis of rheumatoid arthritis","authors":"A. Özkan, S. Kara, A. Sallı, S. Günes","doi":"10.1109/BIYOMUT.2010.5479856","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479856","url":null,"abstract":"In this study, Doppler signals received from the radial artery of the right hands of the 40 healthy subjects and 40 patients with rheumatoid arthritis were recorded. Some features of these signals were obtained using Subspace-based MUSIC method which is one of the spectral analysis methods, and the diseased cases were distinguished with Artificial Neural Networks classification method. In MUSIC method, 5,10,15,20 and 25 were used as model degrees. Test procedure was carried out after training with Artificial Neural Networks. Classification accuracy after the test results was 88.75% for 5 model degrees, 93.75% for 10 and 25 model degrees, 100% for 15 model degrees and 92.5% for 20 model degrees and all models had an average degree of 93.75% classification accuracy was obtained. The proposed approach has potential to help with the early diagnosis of RA disease for the specialists who study this subject.","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":"130611531","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479811
Yavuz Öztürk, M. Engin, E. Z. Engin, Alper Bayrak
In this study, the texture of skin on the back of the hand was investigated for men and women of different ages. The images obtained from superficially back scattered light at the parallel and perpendicular position of the analyzer for different wavelengths, were processed and quantitatively analyzed. At the end of the analysis, we observed that the skin textures have many different segments and the size and number of segments change with ages. Finally, we can say that the hand skin texture becomes less complex with age.
{"title":"Investigation of human hand skin features by polarized light imaging","authors":"Yavuz Öztürk, M. Engin, E. Z. Engin, Alper Bayrak","doi":"10.1109/BIYOMUT.2010.5479811","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479811","url":null,"abstract":"In this study, the texture of skin on the back of the hand was investigated for men and women of different ages. The images obtained from superficially back scattered light at the parallel and perpendicular position of the analyzer for different wavelengths, were processed and quantitatively analyzed. At the end of the analysis, we observed that the skin textures have many different segments and the size and number of segments change with ages. Finally, we can say that the hand skin texture becomes less complex with age.","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":"130000898","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479778
Yunus Emre Çakiroğlu, Levent Özparlak, Onur Kocak, Arif Koçoğlu
Today, it is a well known truth that the cigarette has terrible effects on human health. However, the researches on these effects are mostly investigated inside the boundaries of the medicine science. This work aims to investigate the short-term effects of the cigarette over the human in an engineering perspective and tries to find an analytical solution to detect the consumption of the cigarette. For this reason, in reference to the previous works, the effects of the cigarette over the Electrocardiogram (ECG) signal are taken into account. ECG signals are a certain type of biological signals which is the result of the electrical activities of the heart. In this work, the clustering of the features extracted from the ECG signals is implemented by using K-Means algorithm and it is observed that the results are hopefully good. By the improvement of this work, it will be possible to make an analytical, more than observational, comment on the short-term effects of the cigarette over the heart and human body accordingly.
{"title":"Search of the short time effects of smoking on ECG signals","authors":"Yunus Emre Çakiroğlu, Levent Özparlak, Onur Kocak, Arif Koçoğlu","doi":"10.1109/BIYOMUT.2010.5479778","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479778","url":null,"abstract":"Today, it is a well known truth that the cigarette has terrible effects on human health. However, the researches on these effects are mostly investigated inside the boundaries of the medicine science. This work aims to investigate the short-term effects of the cigarette over the human in an engineering perspective and tries to find an analytical solution to detect the consumption of the cigarette. For this reason, in reference to the previous works, the effects of the cigarette over the Electrocardiogram (ECG) signal are taken into account. ECG signals are a certain type of biological signals which is the result of the electrical activities of the heart. In this work, the clustering of the features extracted from the ECG signals is implemented by using K-Means algorithm and it is observed that the results are hopefully good. By the improvement of this work, it will be possible to make an analytical, more than observational, comment on the short-term effects of the cigarette over the heart and human body accordingly.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"20 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":"132246689","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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