Pub Date : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319425
A. Samadi, Shabnam Haseli, Mehrab Pourmadadi, H. Rashedi, F. Yazdian, M. Navaei-Nigjeh
Cancer has been one of the leading causes of death worldwide. Chemotherapy is a proposed therapeutic in recent years; however, its efficiency is restricted due to multiple drug resistance (MDR), toxicity on normal cells, and poor physicochemical properties. The use of natural compounds with less cytotoxicity on normal cells is a promising approach to cancer treatment. Curcumin (CUR) is a plant flavonol from the flavonoid group of polyphenols with anti-tumor activity. Nonetheless, low solubility, poor permeability, and short biological half-life hamper the use of curcumin as an anti-cancer drug. The principal aim of this study was to augment CUR loading as a hydrophobic drug and prolong the release time. Curcumin was loaded into a hydrogel nanocomposite of chitosan (CS)-agarose (AG)-montmorillonite (MMT) to attain this goal. The use of MMT nanoparticles in the CS-AG hydrogel improved the loading efficiency from 49% to 62%. The average diameter of the nanocomposite particles in the FESEM images was within the range of 30 nm. Zeta potential of the hydrogel nanocomposites was 47mV, which demonstrates the good stability of the hydrogel nanocomposites. The inclusion of all components in the nanocomposite was proved through the presence of all of the characteristic peaks of the components in the FTIR spectrum. The drug release profile showed the pH-responsive behavior of CS-AG-MMT hydrogel nanocomposites with extended-release over 96 h. The cytotoxicity of fabricated nanocomposites on the MCF-7 cell line was evaluated. Curcumin-loaded CS-AG-MMT showed significant cytotoxicity compared to the control group (p<0.001) and curcumin as a free drug (p<0.05). The developed nanostructure is a promising vehicle with the potential to enhance curcumin loading and achieve sustained release of curcumin with significant cytotoxicity on MCF-7 cells.
{"title":"Curcumin-loaded Chitosan-Agarose-Montmorillonite Hydrogel Nanocomposite for the Treatment of Breast Cancer","authors":"A. Samadi, Shabnam Haseli, Mehrab Pourmadadi, H. Rashedi, F. Yazdian, M. Navaei-Nigjeh","doi":"10.1109/ICBME51989.2020.9319425","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319425","url":null,"abstract":"Cancer has been one of the leading causes of death worldwide. Chemotherapy is a proposed therapeutic in recent years; however, its efficiency is restricted due to multiple drug resistance (MDR), toxicity on normal cells, and poor physicochemical properties. The use of natural compounds with less cytotoxicity on normal cells is a promising approach to cancer treatment. Curcumin (CUR) is a plant flavonol from the flavonoid group of polyphenols with anti-tumor activity. Nonetheless, low solubility, poor permeability, and short biological half-life hamper the use of curcumin as an anti-cancer drug. The principal aim of this study was to augment CUR loading as a hydrophobic drug and prolong the release time. Curcumin was loaded into a hydrogel nanocomposite of chitosan (CS)-agarose (AG)-montmorillonite (MMT) to attain this goal. The use of MMT nanoparticles in the CS-AG hydrogel improved the loading efficiency from 49% to 62%. The average diameter of the nanocomposite particles in the FESEM images was within the range of 30 nm. Zeta potential of the hydrogel nanocomposites was 47mV, which demonstrates the good stability of the hydrogel nanocomposites. The inclusion of all components in the nanocomposite was proved through the presence of all of the characteristic peaks of the components in the FTIR spectrum. The drug release profile showed the pH-responsive behavior of CS-AG-MMT hydrogel nanocomposites with extended-release over 96 h. The cytotoxicity of fabricated nanocomposites on the MCF-7 cell line was evaluated. Curcumin-loaded CS-AG-MMT showed significant cytotoxicity compared to the control group (p<0.001) and curcumin as a free drug (p<0.05). The developed nanostructure is a promising vehicle with the potential to enhance curcumin loading and achieve sustained release of curcumin with significant cytotoxicity on MCF-7 cells.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"54 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120837471","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}
Previous research has shown that eye movements are affected by attention and can be used for the examination of attention-related disorders. In the present study, the eye movements of ADHD individuals and healthy individuals were analyzed. For this purpose, EOG signals of 30 healthy children and 30 children with ADHD were decomposed using wavelet transform (WT) while performing an attention-related task. Then the approximation and detail wavelet coefficients features such as energy and standard deviation were calculated, and the differences between the two groups were detected using statistical tests. The results showed that the energy and standard deviation of the EOG signals’ detail coefficients in ADHD children were significantly lower (p<0.001). Therefore, possibly the high-frequency band activity of EOG signals was higher in healthy children in comparison with ADHD children. The results of this study are likely to be practical in designing an EOG biofeedback protocol for treating or reducing the symptoms of ADHD disorder.
{"title":"Analysis of EOG Signals Related to ADHD and Healthy Children Using Wavelet Transform","authors":"Shahrzad Ayoubipour, Hami Hekmati, Nasrin Sho’ouri","doi":"10.1109/ICBME51989.2020.9319413","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319413","url":null,"abstract":"Previous research has shown that eye movements are affected by attention and can be used for the examination of attention-related disorders. In the present study, the eye movements of ADHD individuals and healthy individuals were analyzed. For this purpose, EOG signals of 30 healthy children and 30 children with ADHD were decomposed using wavelet transform (WT) while performing an attention-related task. Then the approximation and detail wavelet coefficients features such as energy and standard deviation were calculated, and the differences between the two groups were detected using statistical tests. The results showed that the energy and standard deviation of the EOG signals’ detail coefficients in ADHD children were significantly lower (p<0.001). Therefore, possibly the high-frequency band activity of EOG signals was higher in healthy children in comparison with ADHD children. The results of this study are likely to be practical in designing an EOG biofeedback protocol for treating or reducing the symptoms of ADHD disorder.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422735","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319455
Farhad Ghadami, S. Saber-Samandari, G. Rouhi
The aim of this study was to investigate the effects of the substrates’ materials on the mechanical properties and behavior of hydroxyapatite (HA) coating, deposited by HVOF method. High velocity oxy-fuel (HVOF) deposition was used as the coating technique, and HA was coated on different substrates, i.e. commercial pure titanium (CPTi), Ti6Al4V, Cobalt chrome alloy (Co-Cr), and 316L stainless steel (SSL). The hardness, elastic modulus, creep, and residual stress of HA coatings, for the four afore-mentioned substrates, were then measured using nanoindentation technique. The results revealed a decreasing trend in the creep behavior in HA coating employed on: CPTi, Ti6Al4V, Co-Cr, and SSL substrates, respectively. Similar to the creep behavior, a descending trend was observed in the indentation depth, as well as in the tensile residual stress, while the hardness tests showed an increasing trend on the mentioned samples, respectively. This investigation showed that the coefficient of thermal expansion (CTE), as well as residual stress of the substrates had a direct impact on the hardness of the HA coatings. Interestingly, the elastic modulus of the substrates’ materials had no direct effect on the elastic modulus, and on the hardness of HA coatings. This study suggests that the substrate’s material properties can affect the behavior of the coating, and consequently on the interaction between the implant and neighboring bone.
{"title":"The Effects of Substrates' Materials on Hardness, Creep, and Residual Stress of the Hydroxyapatite Coating, Deposited by HVOF Method","authors":"Farhad Ghadami, S. Saber-Samandari, G. Rouhi","doi":"10.1109/ICBME51989.2020.9319455","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319455","url":null,"abstract":"The aim of this study was to investigate the effects of the substrates’ materials on the mechanical properties and behavior of hydroxyapatite (HA) coating, deposited by HVOF method. High velocity oxy-fuel (HVOF) deposition was used as the coating technique, and HA was coated on different substrates, i.e. commercial pure titanium (CPTi), Ti6Al4V, Cobalt chrome alloy (Co-Cr), and 316L stainless steel (SSL). The hardness, elastic modulus, creep, and residual stress of HA coatings, for the four afore-mentioned substrates, were then measured using nanoindentation technique. The results revealed a decreasing trend in the creep behavior in HA coating employed on: CPTi, Ti6Al4V, Co-Cr, and SSL substrates, respectively. Similar to the creep behavior, a descending trend was observed in the indentation depth, as well as in the tensile residual stress, while the hardness tests showed an increasing trend on the mentioned samples, respectively. This investigation showed that the coefficient of thermal expansion (CTE), as well as residual stress of the substrates had a direct impact on the hardness of the HA coatings. Interestingly, the elastic modulus of the substrates’ materials had no direct effect on the elastic modulus, and on the hardness of HA coatings. This study suggests that the substrate’s material properties can affect the behavior of the coating, and consequently on the interaction between the implant and neighboring bone.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124614314","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319428
Maryam Sadeghi Talarposhti, Mohammad Ali Ahmadi-Pajouh, F. Towhidkhah
Performing two tasks simultaneously has been always a challenging issue. The effect of difficulty factor has investigated on discrete-continuous motor-cognitive dual-task (DT) using manual tracking task and auditory discrete stimuli. 25 participants that took part in this experiment were asked to track the target while responding to auditory stimuli at the same time. Two different levels of difficulty for tracking tasks were applied to the experiment. The effect of different difficulties was investigated via several factors as error rate, the response time (RT) using the Drift Diffusion Model (DDM) method. The results show that with different drift rates the model is consistent with RT of different difficulty levels.
{"title":"Modeling one-choice discrete-continuous dual task","authors":"Maryam Sadeghi Talarposhti, Mohammad Ali Ahmadi-Pajouh, F. Towhidkhah","doi":"10.1109/ICBME51989.2020.9319428","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319428","url":null,"abstract":"Performing two tasks simultaneously has been always a challenging issue. The effect of difficulty factor has investigated on discrete-continuous motor-cognitive dual-task (DT) using manual tracking task and auditory discrete stimuli. 25 participants that took part in this experiment were asked to track the target while responding to auditory stimuli at the same time. Two different levels of difficulty for tracking tasks were applied to the experiment. The effect of different difficulties was investigated via several factors as error rate, the response time (RT) using the Drift Diffusion Model (DDM) method. The results show that with different drift rates the model is consistent with RT of different difficulty levels.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787896","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319442
M. Jafarian, F. Lotfi, M. Majdolhosseini, A. Arshi
Human gait analysis is of great importance and can be used in the prevention and treatment of motion abnormalities. Spatiotemporal data of gait captured by high-frequency cameras is studied in 3 anatomical planes: sagittal, frontal, and horizontal. The necessity of using several cameras in motion capture technology for capturing 3D data limits its application for clinical purposes. This study evaluated the possibility of using Principal Component Analysis (PCA) as a feature selection technique to find out which anatomical plane provides the most useful information in gait analysis. For this purpose, 3-dimensional marker trajectories of 14 healthy subjects walking on a treadmill with three different speeds were captured. Then, PCA was applied to each gait cycle data to find out variables with the most variation. Afterwards, to evaluate the accuracy and reliability of PCA results, a convolutional neural network (CNN) was used. The highest eigenvalues obtained from PCA indicated that Y-axis (forward direction) had the most variance. Based on the mentioned result, 3 different datasets were prepared as CNN inputs for gender classification: 1) marker trajectories in 3D space, 2) marker trajectories in the X-Y plane (horizontal), 3) marker trajectories in the Y-Z plane (sagittal), The classification accuracy obtained from all CNN models were higher than 95%, which confirmed the significant role of the 2D plane for some useful applications such as gender classification.
{"title":"Comparison of 2D and 3D Gait Kinematics in Gender Classification Using Principal Component Analysis and Convolutional Neural Networks","authors":"M. Jafarian, F. Lotfi, M. Majdolhosseini, A. Arshi","doi":"10.1109/ICBME51989.2020.9319442","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319442","url":null,"abstract":"Human gait analysis is of great importance and can be used in the prevention and treatment of motion abnormalities. Spatiotemporal data of gait captured by high-frequency cameras is studied in 3 anatomical planes: sagittal, frontal, and horizontal. The necessity of using several cameras in motion capture technology for capturing 3D data limits its application for clinical purposes. This study evaluated the possibility of using Principal Component Analysis (PCA) as a feature selection technique to find out which anatomical plane provides the most useful information in gait analysis. For this purpose, 3-dimensional marker trajectories of 14 healthy subjects walking on a treadmill with three different speeds were captured. Then, PCA was applied to each gait cycle data to find out variables with the most variation. Afterwards, to evaluate the accuracy and reliability of PCA results, a convolutional neural network (CNN) was used. The highest eigenvalues obtained from PCA indicated that Y-axis (forward direction) had the most variance. Based on the mentioned result, 3 different datasets were prepared as CNN inputs for gender classification: 1) marker trajectories in 3D space, 2) marker trajectories in the X-Y plane (horizontal), 3) marker trajectories in the Y-Z plane (sagittal), The classification accuracy obtained from all CNN models were higher than 95%, which confirmed the significant role of the 2D plane for some useful applications such as gender classification.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546543","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319427
Negar Naderian, Mehrab Pourmadadi, H. Rashedi, F. Yazdian
In this work, an aptamer-based electrochemical nano biosensor has been designed that is effective in the early detection of Acute Lymphoid Leukemia (ALL) by microRNA-128 in blood serum samples. In the design of this nanoprobe, Graphitic Carbon Nitride (G-C3N4) has been used. Urea at high temperature is used to prepare graphitic carbon nitride. G-C3N4 has a modifiable surface that can carry metals, so gold nanoparticles were placed on its sheets. Consequently, the resulted nanocomposite obtained a high surface-to-volume ratio and much higher conductivity for aptamer binding. The synthesis method of this nanocomposite is Green using vitamin C and is biocompatible. In this study, electrochemical characterization tests, X-ray diffraction (XRD) and Fourier transform infrared (FTIR) tests and transmission electron microscopy (TEM) technique were used. The Limit Of Detection (LOD) of the nano biosensor was obtained about 0.0034 fM in square wave voltammetry (SWV). It was obtained by performing tests at different concentrations of the analyte for three times. Compared with the other works, this limit of detection is much lower and shows the high ability of the nanobiosensor to early detection of Acute Lymphoid Leukemia. Also, the designed biosensor needed a short time (about 45 minutes) to detect the miRNA-128 as symptoms of the disease. It is the first time that Au/G-C3N4 nanocomposite and this aptamer sequence are used in a biosensor together for gene detection (miRNA-128) as an electrochemical biosensor for diagnosis of acute lymphoid leukemia.
{"title":"Design of a Novel Nanobiosensor for the Diagnosis of Acute Lymphoid Leukemia (ALL) by Measurement of miRNA-128","authors":"Negar Naderian, Mehrab Pourmadadi, H. Rashedi, F. Yazdian","doi":"10.1109/ICBME51989.2020.9319427","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319427","url":null,"abstract":"In this work, an aptamer-based electrochemical nano biosensor has been designed that is effective in the early detection of Acute Lymphoid Leukemia (ALL) by microRNA-128 in blood serum samples. In the design of this nanoprobe, Graphitic Carbon Nitride (G-C3N4) has been used. Urea at high temperature is used to prepare graphitic carbon nitride. G-C3N4 has a modifiable surface that can carry metals, so gold nanoparticles were placed on its sheets. Consequently, the resulted nanocomposite obtained a high surface-to-volume ratio and much higher conductivity for aptamer binding. The synthesis method of this nanocomposite is Green using vitamin C and is biocompatible. In this study, electrochemical characterization tests, X-ray diffraction (XRD) and Fourier transform infrared (FTIR) tests and transmission electron microscopy (TEM) technique were used. The Limit Of Detection (LOD) of the nano biosensor was obtained about 0.0034 fM in square wave voltammetry (SWV). It was obtained by performing tests at different concentrations of the analyte for three times. Compared with the other works, this limit of detection is much lower and shows the high ability of the nanobiosensor to early detection of Acute Lymphoid Leukemia. Also, the designed biosensor needed a short time (about 45 minutes) to detect the miRNA-128 as symptoms of the disease. It is the first time that Au/G-C3N4 nanocomposite and this aptamer sequence are used in a biosensor together for gene detection (miRNA-128) as an electrochemical biosensor for diagnosis of acute lymphoid leukemia.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126850690","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319424
F. Bagheri, Reyhaneh Sadat Daneshmand, Behrad TaghiBeyglou, H. Azarnoush
With medical science advancement in today’s modern world, minimally invasive surgery (MIS) has many advantages over open surgery. Despite these advantages, this method also has problems that can be resolved with 3-D surgical tools pose estimation by using a graphical user interface (GUI) to generate a 3-D labeled database of minimally invasive surgery. Since surgery is a continuous act, we have to consider the tools’ position in each frame of the surgery video to estimate the 3-D pose of the tools during the surgery correctly. Previous studies to find the tool’s position have been based on recognizing the tool in the image and then estimating its position by different methods in two or three dimensions. Since each of these methods had errors, we looked to reduce the errors and find the 3D position corresponding to each tool semi-automatically and more accurately. To this end, we develop and design a graphical user interface that displays the surgical environment in three dimensions. We also design the 3-D models of the laparoscopic tools so that by registering them on the 2-D images of the tools during surgery, the instrument’s position could be identified more accurately. To register 3-D models on 2-D images of them, we use pre-prepared data that identifies each type of tool and each part of it with a distinct color. Finally, we can find the tool’s location in the image and its placement using the spatial averaging of the color of each tool and its components. Next, we intend to match the models we have simulated in a different environment to the 2-D images of the instruments by automatically recognizing the tool’s type using the user’s knowledge. At this point, according to the unique color of each tool and its components, as well as the coordinates of placement of these colors, we determine the location of the tool and the axis of the tool to determine the angle of the tool in two dimensions. Finally, we position the tool model on the image manually and see the percentage of similarity using Sum of Absolute Differences method. Besides, this adjustment becomes more accurate by automatic checking for the best percentage of similarity while the tool rotates around the third axis. In conclusion, this method can generate a labeled database, which would help us use more accurate methods (such as using neural networks) to find the 3-D pose of surgical tools.
{"title":"Semi-automatic 3-D pose estimation of laparoscopic tools to generate 3-D labeled database by developing a graphical user interface","authors":"F. Bagheri, Reyhaneh Sadat Daneshmand, Behrad TaghiBeyglou, H. Azarnoush","doi":"10.1109/ICBME51989.2020.9319424","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319424","url":null,"abstract":"With medical science advancement in today’s modern world, minimally invasive surgery (MIS) has many advantages over open surgery. Despite these advantages, this method also has problems that can be resolved with 3-D surgical tools pose estimation by using a graphical user interface (GUI) to generate a 3-D labeled database of minimally invasive surgery. Since surgery is a continuous act, we have to consider the tools’ position in each frame of the surgery video to estimate the 3-D pose of the tools during the surgery correctly. Previous studies to find the tool’s position have been based on recognizing the tool in the image and then estimating its position by different methods in two or three dimensions. Since each of these methods had errors, we looked to reduce the errors and find the 3D position corresponding to each tool semi-automatically and more accurately. To this end, we develop and design a graphical user interface that displays the surgical environment in three dimensions. We also design the 3-D models of the laparoscopic tools so that by registering them on the 2-D images of the tools during surgery, the instrument’s position could be identified more accurately. To register 3-D models on 2-D images of them, we use pre-prepared data that identifies each type of tool and each part of it with a distinct color. Finally, we can find the tool’s location in the image and its placement using the spatial averaging of the color of each tool and its components. Next, we intend to match the models we have simulated in a different environment to the 2-D images of the instruments by automatically recognizing the tool’s type using the user’s knowledge. At this point, according to the unique color of each tool and its components, as well as the coordinates of placement of these colors, we determine the location of the tool and the axis of the tool to determine the angle of the tool in two dimensions. Finally, we position the tool model on the image manually and see the percentage of similarity using Sum of Absolute Differences method. Besides, this adjustment becomes more accurate by automatic checking for the best percentage of similarity while the tool rotates around the third axis. In conclusion, this method can generate a labeled database, which would help us use more accurate methods (such as using neural networks) to find the 3-D pose of surgical tools.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"36 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113931607","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319418
Fatemeh Saeidi Tabar, Mehrab Pourmadadi, H. Rashedi, F. Yazdian
In This study, we examine the method of diagnosing prostate cancer, which is one of the most common cancers among men in the world. Prostate-specific antigen (PSA) is the most common marker of prostate cancer, and this study aimed to detect this biomarker by electrochemical nanobiosensor based aptamer using nanostructures Graphene Oxide/Graphitic Carbon Nitride/Gold nanoparticles (GO/G-C3N4/Au NPs). The aptamer chains are stabilized on the surface of a glassy carbon electrode (GCE) by Reduced Graphene Oxide, Graphitic Carbon Nitride and Gold nanoparticles (RGO/G-C3N4/Au NPs). To ensure the correct operation of the aptamer, a selectivity analysis was taken between five substances C6H12O6, BSA, CA15-3, FBS, and PSA, and an electrochemical biosensor designed with good stability and high selectivity, diagnosis the desired analyte (PSA) compared to other materials. For Characterization of aptasensor Electrochemical, Cyclic voltammetry (CV) and square wave voltammetry (SQW) tests were performed to investigate the features of the synthesized nanoparticles, XRD, FTIR tests were carried out and the results indicated that the used nanoparticles were well synthesized. The limit of detection (LOD) is 1.67 pg/ml in hexafrrocyanide ([Fe (CN)6]-3/-4) media.
{"title":"Design of Electrochemical Nanobiosensor in the Diagnosis of Prostate Specific Antigen (PSA) Using Nanostructures","authors":"Fatemeh Saeidi Tabar, Mehrab Pourmadadi, H. Rashedi, F. Yazdian","doi":"10.1109/ICBME51989.2020.9319418","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319418","url":null,"abstract":"In This study, we examine the method of diagnosing prostate cancer, which is one of the most common cancers among men in the world. Prostate-specific antigen (PSA) is the most common marker of prostate cancer, and this study aimed to detect this biomarker by electrochemical nanobiosensor based aptamer using nanostructures Graphene Oxide/Graphitic Carbon Nitride/Gold nanoparticles (GO/G-C3N4/Au NPs). The aptamer chains are stabilized on the surface of a glassy carbon electrode (GCE) by Reduced Graphene Oxide, Graphitic Carbon Nitride and Gold nanoparticles (RGO/G-C3N4/Au NPs). To ensure the correct operation of the aptamer, a selectivity analysis was taken between five substances C6H12O6, BSA, CA15-3, FBS, and PSA, and an electrochemical biosensor designed with good stability and high selectivity, diagnosis the desired analyte (PSA) compared to other materials. For Characterization of aptasensor Electrochemical, Cyclic voltammetry (CV) and square wave voltammetry (SQW) tests were performed to investigate the features of the synthesized nanoparticles, XRD, FTIR tests were carried out and the results indicated that the used nanoparticles were well synthesized. The limit of detection (LOD) is 1.67 pg/ml in hexafrrocyanide ([Fe (CN)6]-3/-4) media.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132577809","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319451
Seyed Babak Peighambari, N. Fatouraee, M. Nabaei, Milad Tavakolian
Due to the vital importance of research in cardiac hemodynamics, clinical imaging tools, while in progress, are still inadequate. This fact signifies the role of and the need for numerical simulations, especially in the right ventricle (RV), which is termed "the forgotten chamber/ventricle". In this study, a 3D numerical simulation of the RV flow is presented using data extracted via 2D echocardiography because it is an entirely noninvasive, comparably inexpensive, and easily available imaging method. A dynamic model was constructed by deriving ventricular wall displacements from the novel speckle-tracking echocardiography technique. The Navier–Stokes equations were solved via computational fluid dynamics methods; then, RV hemodynamic features such as volume, velocity field, pressure field, and ventricular wall shear stress distribution through 1 cardiac cycle were calculated and discussed. Given the lack of noninvasive and exclusive tools to report RV characteristics, this method can be utilized for RV function assessments.
{"title":"Computational Modeling of the Right Ventricular Flow Based on 2D Speckle-Tracking Echocardiography","authors":"Seyed Babak Peighambari, N. Fatouraee, M. Nabaei, Milad Tavakolian","doi":"10.1109/ICBME51989.2020.9319451","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319451","url":null,"abstract":"Due to the vital importance of research in cardiac hemodynamics, clinical imaging tools, while in progress, are still inadequate. This fact signifies the role of and the need for numerical simulations, especially in the right ventricle (RV), which is termed \"the forgotten chamber/ventricle\". In this study, a 3D numerical simulation of the RV flow is presented using data extracted via 2D echocardiography because it is an entirely noninvasive, comparably inexpensive, and easily available imaging method. A dynamic model was constructed by deriving ventricular wall displacements from the novel speckle-tracking echocardiography technique. The Navier–Stokes equations were solved via computational fluid dynamics methods; then, RV hemodynamic features such as volume, velocity field, pressure field, and ventricular wall shear stress distribution through 1 cardiac cycle were calculated and discussed. Given the lack of noninvasive and exclusive tools to report RV characteristics, this method can be utilized for RV function assessments.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131887487","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 : 2020-11-26DOI: 10.1109/ICBME51989.2020.9319458
Fereshteh Namvar, M. Estakhroueieh, H. Lanjanian, Peyman Hassani Abharian
Autism Spectrum Disorder (ASD) is a growth-neural disorder. One of the opening problems in ASD researches, is revealing the ability of autistic people in sport skill acquisition. The matter is addressed in this paper. In this regard, the learning performance of 10 autistic students in initial forward movement of tennis has been evaluated compared to 10 normal students. The subjects have been trained for 5 sessions. Motions have been recorded using a motion analysis device equipped with 8 cameras. The rotational angles of hand and shoulder have been calculated in order to describe motions entirely and individually in each marker. Mean and variance of 3 groups of mentors, normal and autistic students have been measured. According to the T-test results, autistic students outperform the normal ones. The average difference between the autism group and the coach is about 40% proportion of the average difference between the normal group and the coach. The results would be due to the innate ability of autistic people in doing repetitive movements.
{"title":"Autistic Children Skill Acquisition In Sport: An Experimental Study","authors":"Fereshteh Namvar, M. Estakhroueieh, H. Lanjanian, Peyman Hassani Abharian","doi":"10.1109/ICBME51989.2020.9319458","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319458","url":null,"abstract":"Autism Spectrum Disorder (ASD) is a growth-neural disorder. One of the opening problems in ASD researches, is revealing the ability of autistic people in sport skill acquisition. The matter is addressed in this paper. In this regard, the learning performance of 10 autistic students in initial forward movement of tennis has been evaluated compared to 10 normal students. The subjects have been trained for 5 sessions. Motions have been recorded using a motion analysis device equipped with 8 cameras. The rotational angles of hand and shoulder have been calculated in order to describe motions entirely and individually in each marker. Mean and variance of 3 groups of mentors, normal and autistic students have been measured. According to the T-test results, autistic students outperform the normal ones. The average difference between the autism group and the coach is about 40% proportion of the average difference between the normal group and the coach. The results would be due to the innate ability of autistic people in doing repetitive movements.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114064622","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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