2010 International Conference on Systems in Medicine and Biology最新文献

{"title":"Regional sub-block matrices based multiple regularization and biomedical image reconstruction","authors":"S. K. Biswas, K. Rajan, R. Vasu","doi":"10.1109/ICSMB.2010.5735346","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735346","url":null,"abstract":"A regional information based multiple regularization is studied for solving biological inverse problem. Inverse problems are usually optimized and solved by Newtons method and its variants. Optimization based on calculus is extremely localized. The regional gradient in calculus is more important for local physiological changes. A sub-block based multiple regularization is proposed in Gauss-Newtons method for biological diffuse optical tomograph (DOT). A study of single step regularization (STR) method and proposed subblock based multiple regularization method has been carried out. The reconstructed image analysis shows a significant improvement in the proposed method.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707174","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":"Round-the-clock urine sugar monitoring system for diabetic patients","authors":"Pramit Ghosh, D. Bhattacharjee, M. Nasipuri, D. K. Basu","doi":"10.1109/ICSMB.2010.5735397","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735397","url":null,"abstract":"A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level by taking appropriate dose of medicine and /or controlling diet. The measurement accuracy of the method is 96.93%.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115716865","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":"Performance analysis of LDA, QDA and KNN algorithms in left-right limb movement classification from EEG data","authors":"S. Bhattacharyya, A. Khasnobish, Somsirsa Chatterjee, A. Konar, D. Tibarewala","doi":"10.1109/ICSMB.2010.5735358","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735358","url":null,"abstract":"Brain Computer Interface (BCI) improve the lifestyle of the normal people by enhancing their performance levels. It also provides a way of communication for the disabled people with their surrounding who are otherwise unable to physically communicate. BCI can be used to control computers, robots, prosthetic devices and other assistive technologies for rehabilitation. The dataset used for this study has been obtained from the BCI competition II 2003 databank provided by the University of Technology, Graz. After pre-processing of the signals from their electrodes (C3 & C4), the wavelet coefficients, Power Spectral Density of the alpha and the central beta band and the average power of the respective bands have been employed as features for classification. In one of the approaches we fed all the extracted features individually and in the other approach we considered all features together and submitted them to LDA, QDA and KNN algorithms distinctly to classify left and right limb movement. The aim of this study is to analyze the performance of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and K-nearest neighbor (KNN) algorithms in differentiating the raw EEG data obtained, into their associative movement, namely, left-right movement. Also the importance of the feature vectors selected is highlighted in this study. The total set to feature vector comprising all the features (i.e., wavelet coefficients, PSD and average band power estimate) performed better with the classifiers without much deviation in the classification accuracy, i.e., 80%, 80% and 75.71% with LDA, QDA and KNN respectively. Wavelet coefficients performed best with QDA classifier with an accuracy of 80%. PSD vector resulted in superior performance of 81.43% with both QDA and KNN. Average band power estimate vector showed highest accuracy of 84.29% with KNN algorithm. Our approach presented in this paper is quite simple, easy to execute and is validated robustly with a large dataset.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114526876","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":"Implementation of Katsevich algorithm for helical cone-beam computed tomography using CORDIC","authors":"P. Biswal, S. Banerjee","doi":"10.1109/ICSMB.2010.5735394","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735394","url":null,"abstract":"Katsevich algorithm is the first exact cone-beam reconstruction algorithm for helical cone-beam computed tomography (CT) reconstruction. The commonly used Feldkamp-Davis-Kress (FDK) reconstruction algorithm is an approximate algorithm. The Katsevich algorithm is of filtered backprojection (FBP) type and is an exact algorithm. Although the acceleration of Katsevich algorithm on CPU or GPU have been widely studied, the FPGA implementation is yet to be explored. In this paper, a parallel and pipeline architecture for Katsevich algorithm has been implemented in Xilinx Virtex 4 FPGA. COordinate Rotation DIgital Computer (CORDIC) algorithm has been used to compute complex mathematical and trigonometric functions. We have also analyzed the effect of various windowing techniques for implementation of Hilbert transform on the reconstruction of the CT image. The architecture is able to reconstruct a CT volume image of size 2563 in 7s.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569895","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":"Multicategory cancer classification from gene expression data by multiclass NPPC ensemble","authors":"S. Ghorai, A. Mukherjee, S. Sengupta, P. Dutta","doi":"10.1109/ICSMB.2010.5735343","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735343","url":null,"abstract":"The discovery of DNA microarray technologies have given immense opportunity to make gene expression profiles for different cancer types. Besides binary classification such as normal versus tumor samples the discrimination of multiple tumor types is also important. In this work, we have first extended the recently developed binary nonparallel plane proximal classifier (NPPC) to multiclass NPPC by decomposition techniques. The multiclass NPPC is then used in a computer aided diagnosis framework to classify multicategory cancer from gene expression data by selecting very few genes by using mutual information criterion. The idea of binary NPPC ensemble is extended to form multiclass NPPC ensemble. Besides usual majority voting method, we have introduced minimum average proximity based decision combiner for multiclass NPPC ensemble. The effectiveness of the proposed method are demonstrated on four benchmark microarray data sets and compared with support vector machine (SVM) classifier in a similar framework.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125474569","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":"Static foot pressure image analysis for variation in Men and Women while standing","authors":"R. Periyasamy, A. Mishra, S. Anand, A. Ammini","doi":"10.1109/ICSMB.2010.5735409","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735409","url":null,"abstract":"The purpose of this study was to analyze static foot pressure image to obtain the plantar pressure distribution variation between Men and Women using image processing in frequency domain. Methods: We examined 38 feet of 19 healthy subjects (12 Men and 7 Women) aged between twenty to forty five years was recruited for our study. Foot pressure distribution patterns while standing are obtained by using a portable PedoPowerGraph plantar pressure measurement system for foot image formation, a digital camera for image capturing, a TV tuner PC-add on card, a WinDvr software for still capture and Matlab software with dedicated algorithms have been developed. Various PedoPowerGraphic parameters such as percentage medial impulse (PMI), Forefoot to Hind foot pressure distribution ratio (F/H), Big toe to forefoot pressure distribution ratio and Power ratio were evaluated. Results: In Men, contact area was significantly larger in all regions of the foot compared with Women. There were significant differences in plantar pressure distribution and F/H pressure distribution ratio but there was no significant difference in percentage medial impulse (PMI). Mean PR was significantly greater in Men than Women under the hind foot and fore foot. F/H pressure ratio was greater in Men than Women. As compared to men, women have maximum PR variations in the mid foot. Conclusion: There was variation in plantar pressure distribution because the contact area of the Men foot was larger than that of Women. Hence knowledge of pressure distributions variation of both feet can provide suitable guidelines to biomedical engineers and doctor for designing orthotic devices for reliving the area of excessively high pressure.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881071","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 novel approach to Data Driven Preventive Maintenance Scheduling of medical instruments","authors":"Justin Joseph, S. Madhukumar","doi":"10.1109/ICSMB.2010.5735370","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735370","url":null,"abstract":"The objective of this endeavor has been to develop a Preventive Maintenance Index (PMI) for each instrument in the clinical engineering inventory to assign a preventive maintenance interval (PMInterval), in what the safety tests most be applied as well as to prioritize the PM procedure. This numerical index has been synthesized based on Risk Level Coefficient (RLC) of the instrument. The equipment inventory has been categorized as per the recommendations of International Electro safety Commission (IEC), Federal Drug Agency (FDA) and Hill into various risk groups as Type C, B, H, Class I, II, III, General, Susceptible, Critical and so on. Relevance factor has been imposed to each aspect analyzed. Static Risk of specific medical equipment is assessed through the factors Physical Risk (PR), Equipment Function (EF), and Hazard Potential (HP).The Hazard Potential of each equipment is extracted from the outcome of a pilot survey conducted at national level, so as the system to be evidence based. The Risk Level Coefficient of equipments are derived by statistically integrating individual relevance coefficients and static risk (SR). A standard audit interval is inadequate; hence PMInterval is designed to be adaptive based on the Interval Adaptation Coefficient (IAC) which in turn points Failure / accident history of the equipment. An attempt to incooperate the PM Due Factor (DF), Age Ratio (AR) and Usability Ratting (UR) also has been made. The proposed ‘Data Driven Preventive Maintenance Scheduling’, is in par and comply with, ISO 14971, IEC 60601 Series and JCAHO regulations.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132390804","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":"Effect of electrode geometry on voltage reduction in EWOD based devices","authors":"D. Das, Soumen Das, K. Biswas","doi":"10.1109/ICSMB.2010.5735406","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735406","url":null,"abstract":"Electrowetting(EW) has been used sophistically in the fields of biomedical and optical applications. The major problem posing challenge in EW is to reduce its operating voltage. The study consist of understanding the effect of device parameters that affect EW phenomenon to reduce the actuation voltage with optimum velocity. Using EDEW 2.0 simulation tools [8] and Surface Evolver software [9, 11] EW is simulated. By varying the different parameters (electrode length, gap between electrodes, dielectric thickness, shape of electrode edge and dielectric constant) the corresponding energy curves (surface energy versus centroid position) are obtained. The main goal is to reduce the voltage. It is observed that voltage bears inverse relation with the surface energy and thus actuation voltage can be reduced by reducing the surface energy. There is direct influence of Electrode's parameters in reducing the surface energy.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194647","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":"Introduction about traditional Tongue Diagnosis with scientific value addition","authors":"D. Bakshi, S. Pal","doi":"10.1109/ICSMB.2010.5735385","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735385","url":null,"abstract":"Introduction: Tongue Diagnosis is a non-invasive diagnostic procedure of different traditional medical systems like Acupuncture, Ayurveda etc. In modern medicine tongue gets importance but no qualitative evaluation has been performed. In Traditional Medicine, along with other traditional diagnostic criteria, TONGUE DIAGNOSIS contributes enormous importance in identification & evaluation of pathological conditions as a whole, also very useful in assessing the structural (Yin) and functional (Yang) status of organ systems.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129481","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":"Experimental study and characterization of Chitosan-HAP composite as orthopedic implant material","authors":"Suchismita Chatterjee, A. Chanda, Kunal Pal","doi":"10.1109/ICSMB.2010.5735363","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735363","url":null,"abstract":"This study is focused on the preparation of HAp-chitosan composite using solid state mixing by dry ball milling method and detailed characterization of physical, mechanical, micro structural and biological properties. Density and porosity was obtained in the range of 1700-2500 kg/m3 and 3-36% respectively. Hardness was also measured before and after S.B.F exposure of the sample. In vitro bio mineralization test of nano HAp chitosan composite was carried out in S.B.F exposure. The amount of weight increase due to the formation of apatite on the composite surface was measured by analytical balance and morphology change on the surface was observed by scanning electron microscope (SEM). Characterization of produced apatite was achieved by x-ray diffraction.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124226112","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}