{"title":"Preliminary report: Accuracy between Computed Tomography, three-dimensional model and Rapid Prototyping model for hip joint surgery","authors":"R. Dhakshyani","doi":"10.1109/IECBES.2010.5742201","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742201","url":null,"abstract":"This paper discusses on the measurement aspects of Rapid Prototyping (RP) model in the hip joint orthopaedic surgery. Computed Tomography (CT) patient scan data with a pelvic fracture was obtained in a Digital Imaging and Communications in Medicine (DICOM) format. Mimics software was used to process the data. Threshold and region of interest tools were used to prepare the three-dimensional (3D) digital model. Artefacts and noise distortions were removed manually before generating the 3D digital model. Then, the 3D digital model was converted to Standard Triangulation Language (STL) file. RP medical model was successfully produced using a Fused Deposition Modeling (FDM) machine. Measurement comparisons were done on the CT scan data, 3D digital model and FDM medical model. The FDM medical model was given to the orthopaedic surgeon for comments and feedback. This is an important step as surgeons play a crucial role in validating the RP medical model. The results obtained showed that the RP medical model has high accuracy rate as measurements were not significant compared to the CT scan and 3D digital model measurements. Therefore, RP can be integrated for medical applications.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124055378","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}
Justin Leo Cheang Loong, Sim Kok Swee, Rosli Bear, K. S. Subari, M. K. Abdullah
{"title":"Effects of diseased ECG on the robustness of ECG biometric systems","authors":"Justin Leo Cheang Loong, Sim Kok Swee, Rosli Bear, K. S. Subari, M. K. Abdullah","doi":"10.1109/IECBES.2010.5742250","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742250","url":null,"abstract":"This paper looks into the effects of diseased subjects on the recognition rate of an ECG biometric system. A novel technique for feature extraction, linear predictive coding, is implemented along with neural networks for the classifier. Diseased ECG has been shown reduce the recognition rate of the system by only less than 1% and thus the system is robust towards diseased ECG. This allows for the system incorporating linear predictive coding to be used in practical situations where some users may not be aware of their health state and may have diseased ECG signals.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753166","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}
Shafi Aisyah Ahmad, M. A. Abdul Kadir, Eshamsul Sulaiman
{"title":"Simulation on the effects of dental implant threads to the osseointegration potential","authors":"Shafi Aisyah Ahmad, M. A. Abdul Kadir, Eshamsul Sulaiman","doi":"10.1109/IECBES.2010.5742232","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742232","url":null,"abstract":"In this paper, effect of the implant thread profile on the stability and osseointegration at the peri-implant bone were evaluated by finite element analysis. These study include five different common threads profile of implant body - buttress, reverse buttress, V-shape, sinusoidal and square - that were evaluated via finite element analysis. Three dimensional model of a mandible was reconstructed from CT dataset and a region of interest was selected at the left side around the first molar. The mandible was separated into two types - compact cortical and porous cancellous. This will allow for proper load transfer to the mandible during simulation of the mastication process. A generic abutment model was virtually connected to the implant body, and a crown representing the first molar was placed onto the abutment. The motion of the implant body relative to the bone was calculated under occlusal load ranging from 10N to 200N applied to the crown. Result showed that the reverse buttress and V-shape thread offer high stability by provide less micromotion at the dental implant body.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757562","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":"Distal radius bone age estimation based on fuzzy model","authors":"S. Jantan, A. Hussain, M. Mustafa","doi":"10.1109/IECBES.2010.5742275","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742275","url":null,"abstract":"A fuzzy-based radius ossified model for bone age estimation (BAE) which involves image preprocessing, feature extraction, is afforded. The objective of this paper is to estimate the bone age using fuzzy model based on distal radius features. Results obtained confirm that the ratio of radius to distal end is a significant parameter to describe the status of bone growth before a child reach the age of 14.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125620043","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}
P. Jahanshahi, Siti Zawiah Md Dawal, F. Ibrahim, A. A. Nozari, N. Soin
{"title":"Development of a low-cost and portable device controller for point-of-care medical diagnostics","authors":"P. Jahanshahi, Siti Zawiah Md Dawal, F. Ibrahim, A. A. Nozari, N. Soin","doi":"10.1109/IECBES.2010.5742279","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742279","url":null,"abstract":"The field of centrifugal microfluidics aims to miniaturize common biochemical assays onto specialized discs (CDs). By the exploitation of the centrifugal force, centrifugal microfluidics CDs do not require the syringe pumps that stationary microfluidic platforms require. This paper describes the development of a low-cost and portable controller device that is capable of performing centrifugal microfluidics at the point-of-care (POC). Overall, this system aims to be low in cost, fast, and modular. In this study, the Spin-Stand device controller is the final product of three stages of development: design, virtual simulation and implementation. At the core of the system, the controller is designed to adjust the disc rotational speed for performing several operations by Pulse Width Modulation (PWM) through PIC (Programmable Interface Controller).","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130285996","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}
A.N. Aimi Salihah, M. Y. Mashor, N. H. Harun, A. Abdullah, H. Rosline
{"title":"Improving colour image segmentation on acute myelogenous leukaemia images using contrast enhancement techniques","authors":"A.N. Aimi Salihah, M. Y. Mashor, N. H. Harun, A. Abdullah, H. Rosline","doi":"10.1109/IECBES.2010.5742237","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742237","url":null,"abstract":"Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks is the analyzing of white blood cells (WBC) where the WBC composition reveals important diagnostic information of a patient. This paper presents a two phase methodology in order to obtain a fully segmented abnormal white blood cell (blast) and nucleus in acute leukaemia images. In the first phase, the three contrast enhancement techniques which are partial contrast, bright stretching and dark stretching were used to improve the image quality. Contrast enhancement techniques enhanced the area of interest of acute leukaemia for easing the segmentation process. In the second phase, image segmentation based on HSI (Hue, Saturation, Intensity) colour space is proposed. The proposed technique helps to improve the image visibility and has successfully segmented the acute leukaemia images into two main components: blast and nucleus. The combination between contrast enhancements and image segmentation has good effect on improving the accuracy of segmentation. Hence, information gain from the resultant images would become useful for haematologists to further analysis the types of acute leukaemia.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127654130","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}
R. Sahak, Y. K. Lee, W. Mansor, A. Yassin, A. Zabidi
{"title":"Detection of asphyxiated infant cry using support vector machine integrated with principal component analysis","authors":"R. Sahak, Y. K. Lee, W. Mansor, A. Yassin, A. Zabidi","doi":"10.1109/IECBES.2010.5742286","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742286","url":null,"abstract":"Asphyxia refers to respiratory failure in infants, a condition caused by inadequate intake of oxygen. It is important to diagnose asphyxia in infants as early as possible, as it could lead to infant morbidity. PCA has the capability to reduce the dimension of input feature vector to SVM. Previous attempts with PCA and SVM to detect asphyxia from baby cries found their principal components in a random manner, which consumes tremendous computation effort and time. Our work here investigates the improvement in performance to detect asphyxia from infant cries by integrating PCA and SVM with a polynomial kernel, with principal components being ranked by EOC, CPV and SCREE methods. Extracted features from the analysis of MFC coefficients are first ranked with the three feature selection algorithms of PCA, before being submitted to SVM for classification. Classification accuracy and support vector are employed to gauge the performance. It is found that the highest classification accuracy and support vector number from classification with support vector machine alone are 93.836% and 335.1, with a second order polynomial kernel and a regularization parameter of 1E-04, while those from CPV and SVM outperformed with CA of 94.172%, a low SV of 254.3, a third order polynomial and regularization parameter of 1E-05.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587471","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":"Real-time segmentation of heart sound pattern with amplitude reconstruction","authors":"F. Arvin, Shyamala Doraismay","doi":"10.1109/IECBES.2010.5742214","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742214","url":null,"abstract":"This paper presents a new idea for real-time segmentation of heart sound using amplitude reconstruction. Biomedical signal processing usually uses recorded information as the inputs. Real-time processing systems are challenging fields of engineering including biomedical signal processing. Segmentation of heart sound means that, system receives an audio stream and it separates the given signal into cycles that includes heart sound pulses, first and second heart sound. For implementing real-time heart sound segmentation, a fast method with low complexity is required. In the proposed system, the heart sound is filtered on frequency domain, and then it is processed on amplitude domain to extract the cycles. Although this technique is implemented without any complex calculation such as Furrier or wavelet transforms, the absorbed results showed its feasibility as a real-time segmentation method.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125827734","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":"Automatic detection of breast masses in digital mammograms using pattern matching","authors":"M. Eltoukhy, I. Faye, B. Samir","doi":"10.1109/IECBES.2010.5742202","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742202","url":null,"abstract":"The work in this paper focuses on the automatic detection of masses in digital mammograms. The proposed system consists of two main stages; the first stage is the breast segmentation to remove the background and labels. The second stage is to determine the masses region. The proposed method utilizes the correlation between a typical mass region and the mammogram image in order to determine and extract the suspicious region in the tested image. The system is developed and evaluated with 116 mammogram images from the mammographic image analysis society (MIAS) Dataset. The results show that the proposed algorithm has a sensitivity of 89.30% for mass detection, and the classification accuracy rate reach 94.66%.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"37 11-12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120897822","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":"The effect of sharp contrast-limited adaptive histogram equalization (SCLAHE) on Intra-oral dental radiograph images","authors":"S. Ahmad, M. Taib, N. Khalid, R. Ahmad, H. Taib","doi":"10.1109/IECBES.2010.5742270","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742270","url":null,"abstract":"Radiographic interpretation is crucial for the excellence of quality patient care. Image enhancements can contribute to better image that allow the clinician to derive the optimum amount of information from the radiographic data. However, the degree of enhancement applied to the original image can produce distortions that will lead to misinterpretation. This research presents the effect of Intra-oral dental x-ray images before and after processing with sharp contrast-limited adaptive histogram equalization (SCLAHE) in order to detect the effectiveness of this option on diagnostic ability. In this study 10 intra-oral periapical dental x-ray images (4 upper jaw molar and 6 lower jaw molar) were evaluated by six dentists and were scored from 1 – 5 for the overall image quality based on their perception of the image quality and the presence of the tooth pathologies. Results show that SCLAHE have the positive effect on providing better information for dentists.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132635748","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}