Pub Date : 2009-05-20DOI: 10.1109/BIYOMUT.2009.5130354
Ozlem Cakir, M. Engin, E. Z. Engin, Ufuk Yumrukaya
Surface EMG signals are taken from the human muscle and have some advantages over the needle electrode originated EMG's recordings. In this study, we have processed surface EMG's coming from the normal subject set (7 female and 7 male) to investigate the effects of the muscle fatigue on the 50% maximum voluntary contraction condition. We have observed great correlation between three features which are the slope of the changes of median frequency, number of zero crossing, and wavelet transform based entropy. We also found that the wavelet transform based entropy values have the great abrupt changes for some subjects.
{"title":"Investigation of Muscle Fatigue by Processing EMG Signal","authors":"Ozlem Cakir, M. Engin, E. Z. Engin, Ufuk Yumrukaya","doi":"10.1109/BIYOMUT.2009.5130354","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130354","url":null,"abstract":"Surface EMG signals are taken from the human muscle and have some advantages over the needle electrode originated EMG's recordings. In this study, we have processed surface EMG's coming from the normal subject set (7 female and 7 male) to investigate the effects of the muscle fatigue on the 50% maximum voluntary contraction condition. We have observed great correlation between three features which are the slope of the changes of median frequency, number of zero crossing, and wavelet transform based entropy. We also found that the wavelet transform based entropy values have the great abrupt changes for some subjects.","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":"115259205","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.2009.5130278
V. Arpinar, B. M. Eyuboglu
Nuclear Magnetic Resonance (NMR) systems with inhomogenous main magnetic fields, which are used to analyze material properties, have been developed before. Therefore, Magnetic Resonance Imaging (MRI) systems with inhomogenous main magnetic fields can be possibly developed to image tissues. To investigate the possibility of MRI in inhomogenous main magnetic field, Magnetic Resonance (MR) signal has to be analyzed. In this study, MR signal's parameters deviation due to inhomogeneity level change in the main magnetic field of a MRI system is investigated. Analyzed MR signal parameters are signal peak, energy and relaxation constant. Deviations of these parameters, because of inhomogeneity level change in the main magnetic field, are related to change in MRI system's properties. Thus, starting from the MRI system's properties, tolerable inhomogeneity level in main magnetic field can be found.
{"title":"Analysis of Magnetic Resonance signal in inhomogenous main magnetic field","authors":"V. Arpinar, B. M. Eyuboglu","doi":"10.1109/BIYOMUT.2009.5130278","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130278","url":null,"abstract":"Nuclear Magnetic Resonance (NMR) systems with inhomogenous main magnetic fields, which are used to analyze material properties, have been developed before. Therefore, Magnetic Resonance Imaging (MRI) systems with inhomogenous main magnetic fields can be possibly developed to image tissues. To investigate the possibility of MRI in inhomogenous main magnetic field, Magnetic Resonance (MR) signal has to be analyzed. In this study, MR signal's parameters deviation due to inhomogeneity level change in the main magnetic field of a MRI system is investigated. Analyzed MR signal parameters are signal peak, energy and relaxation constant. Deviations of these parameters, because of inhomogeneity level change in the main magnetic field, are related to change in MRI system's properties. Thus, starting from the MRI system's properties, tolerable inhomogeneity level in main magnetic field can be found.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"80 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":"115196380","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.2009.5130369
Hakan Kutucu, Ç. Eker, O. Kitis, A. Gonul
High-resolution Magnetic resonance imaging (MRI) is helpful in diagnosing diseases such as schizophrenia, alzheimer, dementia etc. Brain segmentation is an important preprocess in medical imaging applications. In this study we compare atlas based segmentation and manual segmentation of hippocampus for volumetric measures. A statistically difference was obtained between automatic and manual measurement. We conclude that contemporary techniques are not adequate to obtain sensitive data in some barin structures such as hippocampus core.
{"title":"Comparison of atlas based segmentation and manual segmentation of hippocampus","authors":"Hakan Kutucu, Ç. Eker, O. Kitis, A. Gonul","doi":"10.1109/BIYOMUT.2009.5130369","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130369","url":null,"abstract":"High-resolution Magnetic resonance imaging (MRI) is helpful in diagnosing diseases such as schizophrenia, alzheimer, dementia etc. Brain segmentation is an important preprocess in medical imaging applications. In this study we compare atlas based segmentation and manual segmentation of hippocampus for volumetric measures. A statistically difference was obtained between automatic and manual measurement. We conclude that contemporary techniques are not adequate to obtain sensitive data in some barin structures such as hippocampus core.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"106 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":"115607819","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}
N. Topaloglu, O. Tabakoglu, M. Ergenoglu, M. Gulsoy
The use of endovenous laser treatment for varicose veins has been increasing in recent years. It is a safer technique than surgical vein stripping. Its complications (e.g. bruising, pain) are less than the complications of surgical vein stripping. But best parameters such as optimum wavelength, power, and application duration are still under investigation to clarify uncertainties about this technique. To prevent its complications and improve its clinical outcomes, the exact mechanism of it has to be known. The aim of this study is to investigate the effect of different laser wavelengths on endovenous laser therapy. In this study 980-nm diode laser and 1070-nm fiber laser were used. Human veins were irradiated with 980-nm and 1070-nm lasers at 8 W and 10 W to find the optimal power and wavelength. After laser application, remarkable shrinkage was observed. Inner and outer diameters of the veins also narrowed for both of the laser types. 10 W of 980-nm laser application led to better shrinkage results.
{"title":"Comparison of 980-nm and 1070-nm in endovenous laser treatment","authors":"N. Topaloglu, O. Tabakoglu, M. Ergenoglu, M. Gulsoy","doi":"10.1117/12.831906","DOIUrl":"https://doi.org/10.1117/12.831906","url":null,"abstract":"The use of endovenous laser treatment for varicose veins has been increasing in recent years. It is a safer technique than surgical vein stripping. Its complications (e.g. bruising, pain) are less than the complications of surgical vein stripping. But best parameters such as optimum wavelength, power, and application duration are still under investigation to clarify uncertainties about this technique. To prevent its complications and improve its clinical outcomes, the exact mechanism of it has to be known. The aim of this study is to investigate the effect of different laser wavelengths on endovenous laser therapy. In this study 980-nm diode laser and 1070-nm fiber laser were used. Human veins were irradiated with 980-nm and 1070-nm lasers at 8 W and 10 W to find the optimal power and wavelength. After laser application, remarkable shrinkage was observed. Inner and outer diameters of the veins also narrowed for both of the laser types. 10 W of 980-nm laser application led to better shrinkage results.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"42 3 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":"114158361","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.2009.5130378
D. Gursoy, H. Scharfetter
Magnetic induction tomography (MİT) is a low resolution imaging modality which attempts to reconstruct the electrical conductivity distribution in the body. In MİT, eddy currents are induced within the body via transMİTter coils and the magnetic field of these currents are measured by an array of receiver coils encircling the body. The multi-frequency excitation perMİTs imaging of motionless organs like the brain, since the frequency dependence of the biological tissue conductivities. In this work, the feasibility of the head imaging using multi-frequency MİT was investigated using a multi-shell spherical head model. The excitaion frequency was chosen from 10 kHz to 10 MHz which covers the β-dispersion region of the biological tissues of interest and the conductivities for the head tissues were assigned based on a Cole model. Moreover, the bleeding in head was modeled and the recostructed head images were presented.
{"title":"Feasibility of head imaging using multi-frequency magnetic induction tomography","authors":"D. Gursoy, H. Scharfetter","doi":"10.1109/BIYOMUT.2009.5130378","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130378","url":null,"abstract":"Magnetic induction tomography (MİT) is a low resolution imaging modality which attempts to reconstruct the electrical conductivity distribution in the body. In MİT, eddy currents are induced within the body via transMİTter coils and the magnetic field of these currents are measured by an array of receiver coils encircling the body. The multi-frequency excitation perMİTs imaging of motionless organs like the brain, since the frequency dependence of the biological tissue conductivities. In this work, the feasibility of the head imaging using multi-frequency MİT was investigated using a multi-shell spherical head model. The excitaion frequency was chosen from 10 kHz to 10 MHz which covers the β-dispersion region of the biological tissues of interest and the conductivities for the head tissues were assigned based on a Cole model. Moreover, the bleeding in head was modeled and the recostructed head images were presented.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"10 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":"114198034","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.2009.5130389
E. Aribas, S. Piskin, M. S. Çelebi
This paper intends to simulate 3D blood flow of carotid artery bifurcations using a suitable geometrical model with the help of various processing tools and methods. To understand flow characteristics of human blood flow, it is essential to model 3D human arterial tree with as many branches as possible. Geometric modeling of the artery network is structured using a commercial program (Mimics). Conversion of the medical raw data to the geometrical model requires preprocessing tools and software in order to clean the distorted data or irregular data. This step is handled by using Mimics Medical Graphics Software. Next step is conversion of geometric model to a flow model including the crucial preprocessing operation using TGrid which is a commercial preprocessing program. Further, computational grid generation methods are applied to enhance the flow model. In addition to that, for future work it is made possible to add more bifurcations on the computational model. Exporting the geometrical data into a well-known fluid solver (Fluent) requires certain group of simulations and analysis. Therefore, a source mesh file is created for initial simulations that include 3D steady, unsteady (transient) flows with upstream velocities in constant and sinus wave form. All cases are compared according to pressure, shear stress and velocity values.
{"title":"3D blood flow simulations in human arterial tree bifurcations","authors":"E. Aribas, S. Piskin, M. S. Çelebi","doi":"10.1109/BIYOMUT.2009.5130389","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130389","url":null,"abstract":"This paper intends to simulate 3D blood flow of carotid artery bifurcations using a suitable geometrical model with the help of various processing tools and methods. To understand flow characteristics of human blood flow, it is essential to model 3D human arterial tree with as many branches as possible. Geometric modeling of the artery network is structured using a commercial program (Mimics). Conversion of the medical raw data to the geometrical model requires preprocessing tools and software in order to clean the distorted data or irregular data. This step is handled by using Mimics Medical Graphics Software. Next step is conversion of geometric model to a flow model including the crucial preprocessing operation using TGrid which is a commercial preprocessing program. Further, computational grid generation methods are applied to enhance the flow model. In addition to that, for future work it is made possible to add more bifurcations on the computational model. Exporting the geometrical data into a well-known fluid solver (Fluent) requires certain group of simulations and analysis. Therefore, a source mesh file is created for initial simulations that include 3D steady, unsteady (transient) flows with upstream velocities in constant and sinus wave form. All cases are compared according to pressure, shear stress and velocity values.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"203 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":"114740153","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.2009.5130377
Onur Imer, Levent Çavaş
Estimation of disordered regions in proteins as a measurement of flexibility is important in terms of playing key roles in regulation of transcription and translation, protein-protein, protein-DNA interactions and also in determining the tertiary structure of the proteins. It has been determined that proteins that include intensive amounts of aminoacids such as alanine, glycine and proline have propensity of disorder on account of changing Φ and Ψ bond angles. In this study, two proteins, one with high propensity of disorder and the other with low propensity of disorder, have been chosen to emphasize the differences between them. The disordered regions in two important enzymes (DNA-topoisomerase I and glutathione peroxidase 5) chosen from the protein bank of ExPasy (Expert Protein Analysis System) have been estimated by using 5 newly developed bioinformatics tools (RONN, FoldIndex, VSL2 DisProt, GlobPlot, DisEMBL). Some proteins that include disordered regions have been related to some metabolic diseases such as diabetes, cancer, Alzheimer. The main aim of this study is to introduce the developed bioinformatics tools related to disordered regions in two selected proteins.
{"title":"The bioinformatics tools for the estimation of disordered regions in proteins","authors":"Onur Imer, Levent Çavaş","doi":"10.1109/BIYOMUT.2009.5130377","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130377","url":null,"abstract":"Estimation of disordered regions in proteins as a measurement of flexibility is important in terms of playing key roles in regulation of transcription and translation, protein-protein, protein-DNA interactions and also in determining the tertiary structure of the proteins. It has been determined that proteins that include intensive amounts of aminoacids such as alanine, glycine and proline have propensity of disorder on account of changing Φ and Ψ bond angles. In this study, two proteins, one with high propensity of disorder and the other with low propensity of disorder, have been chosen to emphasize the differences between them. The disordered regions in two important enzymes (DNA-topoisomerase I and glutathione peroxidase 5) chosen from the protein bank of ExPasy (Expert Protein Analysis System) have been estimated by using 5 newly developed bioinformatics tools (RONN, FoldIndex, VSL2 DisProt, GlobPlot, DisEMBL). Some proteins that include disordered regions have been related to some metabolic diseases such as diabetes, cancer, Alzheimer. The main aim of this study is to introduce the developed bioinformatics tools related to disordered regions in two selected proteins.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"83 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":"127226104","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.2009.5130261
Berna Akinci, N. G. Gencer
Brain Computer Interface aims to provide a communication system with external media via thougths. For this purpose, brain signals are acquired from the scalp by EEG device and processed for characterization. In this work, the classification of movement imagery EEG data has been studied for left hand, right hand, foot and tongue movement imagination cases. Common Spatial Patterns (CSP) method and temporal filters have been used in classification and Common Sparse Spectral Spatial Patterns (CSSSP) method has been tried on 4-class motor imagery data in order to improve the accuracy for classification.
{"title":"Classification of 4-class motor imagery EEG data with Common Sparse Spectral Spatial Pattern method","authors":"Berna Akinci, N. G. Gencer","doi":"10.1109/BIYOMUT.2009.5130261","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130261","url":null,"abstract":"Brain Computer Interface aims to provide a communication system with external media via thougths. For this purpose, brain signals are acquired from the scalp by EEG device and processed for characterization. In this work, the classification of movement imagery EEG data has been studied for left hand, right hand, foot and tongue movement imagination cases. Common Spatial Patterns (CSP) method and temporal filters have been used in classification and Common Sparse Spectral Spatial Patterns (CSSSP) method has been tried on 4-class motor imagery data in order to improve the accuracy for classification.","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":"124249320","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.2009.5130271
O. Ozyurt, A. Dinçer, C. Ozturk
Using the intensity of the element in interest, standard FCM generates the membership values to all classes. When used for segmentation of images, this method is not capable of correcting the effects of noise. To overcome that problem, we propose a modification on the standard method. The voxels in the neighborhood are taken into account, forming the shape elements in additon to the intensity of the voxel in interest. The resulting input vector is used with FCM. The proposed method was tested with MR brain image with and without added syntetic noise.
{"title":"Brain MR image segmentation with fuzzy C-means and using additional shape elements","authors":"O. Ozyurt, A. Dinçer, C. Ozturk","doi":"10.1109/BIYOMUT.2009.5130271","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130271","url":null,"abstract":"Using the intensity of the element in interest, standard FCM generates the membership values to all classes. When used for segmentation of images, this method is not capable of correcting the effects of noise. To overcome that problem, we propose a modification on the standard method. The voxels in the neighborhood are taken into account, forming the shape elements in additon to the intensity of the voxel in interest. The resulting input vector is used with FCM. The proposed method was tested with MR brain image with and without added syntetic noise.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"42 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":"123235542","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.2009.5130299
S. Gurses
Postural control strategies applied by a subject in two different physical environments (phy env) were explored by using tendon vibration technique. EMG data from left and right Tibialis Anterior and Gastrocnemius muscles have been received from a subject while standing still on a force platform in two different conditions (eyes open and closed) during 180 sec long trials at the phy env's created. The subject received two 10 sec long 80 Hz vibrations applied to left and right Achilles tendon at 50th and 120th secs of the data collection. It has been observed that the subject experienced a motion illusion in the condition where his feet bore his total body weight with eyes closed (phy env I), which has been revealed through the analyses of Center-of-Pressure (CoPx) and EMG data. However, when 7% of his body weight was suspended to the ceiling through a harness (phy env II) the illusion disappeared and the variability in the CoPx signal decreased.
{"title":"Postural control strategies enlightened by the usage of tendon vibration technique","authors":"S. Gurses","doi":"10.1109/BIYOMUT.2009.5130299","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2009.5130299","url":null,"abstract":"Postural control strategies applied by a subject in two different physical environments (phy env) were explored by using tendon vibration technique. EMG data from left and right Tibialis Anterior and Gastrocnemius muscles have been received from a subject while standing still on a force platform in two different conditions (eyes open and closed) during 180 sec long trials at the phy env's created. The subject received two 10 sec long 80 Hz vibrations applied to left and right Achilles tendon at 50th and 120th secs of the data collection. It has been observed that the subject experienced a motion illusion in the condition where his feet bore his total body weight with eyes closed (phy env I), which has been revealed through the analyses of Center-of-Pressure (CoPx) and EMG data. However, when 7% of his body weight was suspended to the ceiling through a harness (phy env II) the illusion disappeared and the variability in the CoPx signal decreased.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"21 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":"131377373","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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