{"title":"Finite element analysis of functional graded proximal femoral nail antirotation for alleviating the complications of intertrochanteric fracture treatment","authors":"D. Zheng, Lizhen Wang, H. Gong","doi":"10.1109/BMEI.2013.6746950","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746950","url":null,"abstract":"Nowadays Proximal Femoral Nail Antirotation (PFNA) is often used to cure the intertrochanteric fracture. After fracture healing, there would be some complications, such as osteoporosis and refracture, which are caused by stress shielding and stress concentration. The effectiveness of Functional Graded Material (FGM) PFNA on relieving complications by reducing the stress shielding and concentration is studied using finite element modeling analysis.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"61 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131894555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cyclic graphs with noisy-max structures and its modeling on signaling pathways","authors":"Dongyu Shi","doi":"10.1109/BMEI.2013.6746998","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746998","url":null,"abstract":"It is common that a real world system with causal or inter-dependent relationships has cyclic or feed-back properties, especially in biological systems. The signaling pathway in a cell is such a typical system. As a fundamental part, it regulates essential functions including growth, protein synthesis, and apoptosis. With randomized experiments of intervening some parts and observing on other parts, pathways are supposed to be revealed by gene expression data. This paper presents a probabilistic framework that allows cyclic relationships. The interactions of the signaling molecules can be represented in it. With interventional data, inference and learning can be driven in this framework. Both analysis and experiments show its effectiveness.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133411356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Theoretical analysis of color decoupling method in multi-frequency color fringe-projected shape measurements","authors":"Guoqing Han","doi":"10.1109/BMEI.2013.6747038","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747038","url":null,"abstract":"Multi-frequency color fringe projection is one of useful techniques proposed in recent years to measure 3D shape of objects in a single shot. In this technique, color decoupling is an indispensable step of analyzing the captured fringe pattern. This paper presents an algorithm to implement a fast and clean color decoupling. First, the cross talk among color channels of commercial CCD and projector is modeled as color coupling equation. Then empirical mode decomposition are used to solve the equation. Consequently, the extraction of the low, medium and high fundamental frequency components from the color pattern is accomplished, facilitating the subsequent phase calculation and shape recovery.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133643126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Studying MRI technology development using patent analysis","authors":"Ruyi Luo, Yenn-Jian Lin, Qiuping Ding","doi":"10.1109/BMEI.2013.6746966","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746966","url":null,"abstract":"Magnetic resonance imaging (MRI) technology plays an increasingly important role in the field of medical devices. Based on Innography patent analysis platform, this article analyzed global MRI patents, including core patents, inventor location, competitors, patent value for statistical analysis, and text clustering for GE, Siemens and Philips as a comparative analysis. The results may provide credible references for those engaging in research, production and clinical applications at MRI field, as well as provide the latest technology trends and innovations in MRI.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131100279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Confidence intervals for odds ratio in matching pairs under inverse sampling","authors":"Shaoping Jiang, Huimin Li","doi":"10.1109/BMEI.2013.6747010","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747010","url":null,"abstract":"Odds ratio is often used in matched pair design to assess the equivalence of two treatments for both prospective and retrospective clinical trials. In this context, we propose five confidence intervals estimator for the odds ratio in matching pairs under inverse sample. The performance of the proposed methods are evaluated with respect to their coverage probability and expected widths. Our empirical results show that the confidence interval based on the score statistic produce similar coverage probabilities and smaller confidence interval widths.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115702385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal color space for quantitative analysis of shinny skin","authors":"T. Naoki, M. Seo, T. Igarashi, Yenwei Chen","doi":"10.1109/BMEI.2013.6747057","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747057","url":null,"abstract":"This paper explores the optimal color space for quantitative analysis of shinny skin. By assuming that the forehead areas hold shine and the outside of cheek areas have no shine, we clip forehead and cheek areas from face images, and then transform them into 4 color spaces: RGB, HSV, YIQ and YCbCr for analysis. Through calculating the statistic values of the clipped image patches, the rate of average difference and the variance difference between shinny area and non-shinny area can be produced. For quantitative evaluation, we calculate correlation between these statistic values and scores of sensory evaluation. By analyzing these correlations, we investigate the optimal color space for quantitative analysis of shinny skin.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123865796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive blind estimation of evoked potentials in EEG based on a minimum dispersion criterion","authors":"Wenqiang Guo, Mingjun Zhang","doi":"10.1109/BMEI.2013.6747016","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747016","url":null,"abstract":"Evoked potentials (EPs) have been widely used to quantify neurological system properties. Traditional EP analysis are developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in biomedical signal processing. Conventional blind separation and estimation method of evoked potentials is based on second order statistics (SOS). In this paper, we propose a new algorithm based on minimum dispersion criterion and Givens matrix. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"74 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120979906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recognition of beta-alpha-beta motifs in proteins by using Random Forest algorithm","authors":"Lixia Sun, Xiuzhen Hu","doi":"10.1109/BMEI.2013.6747001","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747001","url":null,"abstract":"A beta-alpha-beta motif was dataset constructed by using the Definition of Secondary Structure of Proteins (DSSP) and PROMOTIF software, that analyzes a protein coordinate file and provides details about the structural motifs in the protein. We performed a statistical analysis on beta-alpha-beta motifs and non-beta-alpha-beta motifs, and the study objects that loop-helix-loop length was from 10 to 26 amino acids were selected. Hydropathy component of position and amino acid composition were combined as characteristic parameter for expressing the sequence characteristics. A Random Forest algorithm for predicting beta-alpha-beta motifs was developed. The overall accuracy and Matthew's correlation coefficient of 5-fold cross-validation achieved 88.9% and 0.78.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122599936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A practical feature selection based on an optimal feature subset and its application for detecting lung nodules in chest radiographs","authors":"Haoyan Guo, Yuanzhi Cheng, Dazheng Wang, Li Guo","doi":"10.1109/BMEI.2013.6746994","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746994","url":null,"abstract":"The traditional motivation behind feature selection algorithms such as a genetic algorithm, a forward stepwise and a backward stepwise selections [1], is to find the best feature subset for a task using one particular learning algorithm. The idea is to select a optimal subset of attributes which are as representative as possible of the original data. However, it has been often found that no single classifier is entirely satisfactory for a particular task. Therefore, how to further improve the performance of these single systems on the basis of the previous optimal feature subset is a very important issue. Ensemble systems, also known as committees of classifiers, are composed of individual classifiers, organized in a parallel way and their outputs are combined in a combination method, which provides the final output of the system. Given the success of ensembles, ensembles allow us to get higher accuracy and sensitivity, which are often not achievable with single models. Based on the above, we propose a practical feature selection approach that is based on an optimal feature subset of a single CAD system, which is referred to as a multilevel optimal feature selection method (MOFS) in this paper. Through MOFS, we select the different optimal feature subsets in order to eliminate features that are redundant or irrelevant and obtain optimal features, and then a bagging ensemble with a MOFS method is proposed. Experimental results indicates that the accuracy of the bagging ensemble using a MOFS method is superior to that of a single CAD system and is also superior to that of the ensemble using an attribute selection algorithm based on ReliefF.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing a device using accelerometers and EMG for hand movement recognition","authors":"Sung-wook Shin, Sung-Hoon Jeong, Seock-Ju Shin, Dong-Soo Cho, Sung-Taek Chung","doi":"10.1109/BMEI.2013.6746971","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746971","url":null,"abstract":"In this study, rehabilitation training in motor skills for hemiplegia patients comprises repetitive and passive contents. To reduce boredom of rehabilitation training and provide active training, a movement-recognizing device and contents using it were manufactured. An accelerometer for detecting movement recognition and EMG sensor signals for detecting minute muscle variation were used to recognize hand movement. The signals generated by movement were made to move like a mouse, which was connected to rehabilitation training contents using this function.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742863","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}