Ninlawan Paobthong, Rumpa Boonsinsukh, V. Saengsirisuwan, S. Sirisup
{"title":"Application of Wavelet Transform to identify motor unit recruitment pattern","authors":"Ninlawan Paobthong, Rumpa Boonsinsukh, V. Saengsirisuwan, S. Sirisup","doi":"10.1109/IECBES.2010.5742236","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742236","url":null,"abstract":"Motor unit recruitment pattern represents the time-frequency characteristics of muscle contraction. The Continuous Wavelet Transform (CWT) is a time-frequency signal analysis but its ability to identify motor unit recruitment pattern is still unclear. The purpose of this study was to validate the CWT in identifying the differences in motor unit recruitment pattern, regarding time-space domains, between young and elderly healthy subjects during maximum voluntary knee extension. Ten elderly and 10 young subjects participated in this study. They were asked to perform isometric knee extension at 100% maximum voluntary contraction for 10 seconds. CWT analysis was presented as scalogram. Results showed that the presence of red color spectrum in the young subjects was less than that in the elderly group, indicating that the major recruitments occur more frequently in the elderly. When considering the neuronal firing frequency, the elderly subject operates the firing frequency at a lower range than the young group. The findings in this study confirmed that the CWT can be used to identify the age-related changes in motor unit recruitment pattern.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"10 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":"131480311","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":"Haptic based augmented reality simulator for training clinical breast examination","authors":"M. Solanki, V. Raja","doi":"10.1109/IECBES.2010.5742241","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742241","url":null,"abstract":"Palpation is a procedure that enables a practitioner to obtain tactile information about the internal condition of tissue that is not visible from the surface. However the methods currently employed to train these clinical diagnosis skills are insufficient in accurately rendering the sensations of abnormalities to the fingertips. In this paper we propose an augmented reality haptic palpation system that simulates a wide range of cancer pathologies to be implemented in training breast examination. A homogeneous silicone elastomer material mimicking breast tissue is palpated with the finger connected to a haptic interface, which generates the perception that a seemingly empty medium contains embedded tumours. In order to represent stages and severity of the disease, the parameters of depth, diameter, stiffness and location of the virtual lumps are considered to contribute a fully reconfigurable biomechanical inhomogeneous model. Experiments are conducted with users to observe how accurately these parameters can be identified on the breast surface. The results demonstrate that subjects could precisely ascertain the objects composition and also distinguish virtual lumps of different material compliance. The system provides a novel alternative to existing healthcare trainers and moves closer towards an immersive virtual reality simulator.","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":"131099113","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}
Zulkarnay Zakaria, Noor Aqma Hj. Mohd Yazid, N. H. Jaafar, M. F. Jumaah, M. Mansor, R. Abdul Rahim
{"title":"Initial results on magnetic induction tomography hardware measurement using hall effect sensor application","authors":"Zulkarnay Zakaria, Noor Aqma Hj. Mohd Yazid, N. H. Jaafar, M. F. Jumaah, M. Mansor, R. Abdul Rahim","doi":"10.1109/IECBES.2010.5742189","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742189","url":null,"abstract":"Magnetic induction tomography (MIT) is among the new technology that compliment other tomography methods such as ultrasonic, optical, capacitance and several others. This type of tomography applies the magnetic field to detect the existence of the object that is going to image. Several methods are possible in constructing the magnetic induction hardware. Most of the researchers used coils for both transmitter and receiver which are more complicated and need large space. The Hall Effect sensors (HES) have the potential of replacing the coil at the receiver side since it has the ability to measure the value of magnetic field strength and convert it to voltage value. This concept is same as the ultrasonic sensors used in ultrasonic tomography instrumentation hardware. The results have shown that the pattern of capture data by hall effect sensor are almost the same pattern for all 8 sensors for each material used. This have given positive sign that HES is capable to be applied in MIT measurement system.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"46 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":"116516352","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 new paradigm of Electronic Health record for efficient implementation of healthcare delivery","authors":"Praveen Kumar Kannoju, K. V. Sridhar, K. Prasad","doi":"10.1109/IECBES.2010.5742259","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742259","url":null,"abstract":"A radical change in technical approach is needed to achieve electronic records suitable to support an engineered system of healthcare at rural and isolated areas. The challenges that have to be faced to achieve this change are improve patient safety, improve the quality and efficiency of patient care, and reduce healthcare delivery costs at rural areas. Electronic Health record (EHR) is a much anticipated solution for this problem which gives a true lifetime, person centered medical record of a patient. The advantages of an EHR solution are apparent for both doctors and patients with improved efficiency that will facilitate the exchange of health information while lowering healthcare costs. This paper introduces the innovative concept of developing an efficient EHR in a way that effectively implements the creation, updation, maintenance, representation and transmission of the medical data. In this implementation, the static information such as identification details, lifestyle habits, etc will remain in the database and only the dynamic data such as the rapidly changing health status of the patient along with the graphical and real-time data such as cardiograph signals, pathological reports can be sent using proper transmission media to the nearest Expert Centre for immediate diagnosis. The vital data which needs to be transmitted is compressed using the suitable and efficient compression technique for reducing the time of transmission. Here medical data present in the database is modified dynamically as the health status of the person varies from episode to episode. This application acts as a bridge between skilled doctors and the rural people.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"17 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":"115147169","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}
J. Nagi, Sameem Abdul Kareem, F. Nagi, Syed Khaleel Ahmed
{"title":"Automated breast profile segmentation for ROI detection using digital mammograms","authors":"J. Nagi, Sameem Abdul Kareem, F. Nagi, Syed Khaleel Ahmed","doi":"10.1109/IECBES.2010.5742205","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742205","url":null,"abstract":"Mammography is currently the most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast profile segmentation technique still remains a challenging problem in digital mammography. Extraction of the breast profile region and the pectoral muscle is an essential pre-processing step in the process of computer-aided detection. Primarily it allows the search for abnormalities to be limited to the region of the breast tissue without undue influence from the background of the mammogram. The presence of pectoral muscle in mammograms biases detection procedures, which recommends removing the pectoral muscle during mammogram pre-processing. In this paper we explore an automated technique for mammogram segmentation. The proposed algorithm uses morphological preprocessing and seeded region growing (SRG) algorithm in order to: (1) remove digitization noises, (2) suppress radiopaque artifacts, (3) separate background region from the breast profile region, and (4) remove the pectoral muscle, for accentuating the breast profile region. To demonstrate the capability of our proposed approach, digital mammograms from two separate sources are tested using Ground Truth (GT) images for evaluation of performance characteristics. Experimental results obtained indicate that the breast regions extracted accurately correspond to the respective GT images.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"33 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":"133622093","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":"Development of camera imaging software to investigate elbow joint laxity","authors":"M. S. Salim, M. Sobri, F.A.A. Sukor","doi":"10.1109/IECBES.2010.5742220","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742220","url":null,"abstract":"The purpose of development the camera imaging software is to investigate the kinematics movements of the elbow joint. The software developed using Visual Basic 2008 Express Edition. It is a set of free and easy-to-use developer tool. This camera imaging software is used to measure the elbow joint motion between the radius and ulna with humerus bone by angle produce at the location. The angle measure will then to be used to determine the elbow joint laxity. The camera imaging software is used with the attached of arm device which has been designed and developed before. From the results, it found that in both medial and lateral epicondyle, angles move relative to each other. As the medial epicondyle angle becomes larger, the lateral epicondyle angle becomes smaller and vice versa. Also, the dislocations range is between 0° to 4°.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"183 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":"114836819","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}
Kamaruddin Bin Yahaya, Siti Zawiah Md Dawal, H. Zadry
{"title":"Medical image registration: Comparison and evaluation of nonlinear transformation algorithms","authors":"Kamaruddin Bin Yahaya, Siti Zawiah Md Dawal, H. Zadry","doi":"10.1109/IECBES.2010.5742209","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742209","url":null,"abstract":"Image registration seeks to compare and combine images acquired from multiple modalities, at different time or at different viewpoints by feature based approach or optimizing the similarity measure of two image sets. In the landmark based registration, the transformation function is required to spatially match the features. Image guidance systems designed for neurosurgery, hip surgery, and spine surgery often relies on feature based registration. Accuracy is important to these systems. In this paper, the transformation functions like polynomial, piecewise linear (PL), local weighted mean (LWM) and thin plate spline (TPS) are evaluated. The comparison will be made in terms of the registration time, error rate, correlation index and degree of matching.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"172 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":"116147238","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 new design of Circular Meander Microstrip Antenna for on BAN system","authors":"R. Seman, K. Ghorbani, Q. Fang","doi":"10.1109/IECBES.2010.5742188","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742188","url":null,"abstract":"In this paper, a new design of Circular Meander Microstrip Antenna (CMMA) is presented to develop wireless communication link between on Body Area Network (BAN), sensor node device and hand held mobile using 402–405MHz, Medical Implant Communication Service (MICS) frequency band. Computer Simulation Technology (CST) Microwave Studio was used to evaluate the antenna design. CST Microwave Studio is based on the Finite Difference Time Domain (FDTD) technique. Size reduction techniques such as meandering, addition of shorting pin and using of superstrate were investigated to find a suitable antenna size for on body use in MICS frequency band.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"87 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":"123629281","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":"Magnetic sensor for non-invasive detection of blood pulse and estimation of arterial compliance","authors":"J. Joseph, V. Jayashankar","doi":"10.1109/IECBES.2010.5742222","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742222","url":null,"abstract":"The modulated magnetic signature based method has been recently suggested for non-invasive detection of blood pulse. Here we present our experience with the use of a Giant Magnetic Resistance (GMR) based sensor for non-invasive detection of a bio-rhythm. The influence of the biasing magnetic field on the amplitude and shape of the detected signal is presented. Guidelines for the design of a bio-medical transducer using the principle are also provided. The detected biorhythm is compared to other bio signals such as the blood flow velocity and arterial distension to gain insight into the physiological significance of the detected signal. The analysis shows that the magnetic sensor provides a signal that is strongly correlated to the blood volume in the neighbourhood of the sensor. Finally, the possibility of using the GMR based sensor for estimation of arterial compliance is investigated. Simultaneous measurements performed at two different sites on the body show that this sensor can be used to measure arterial pulse wave velocity which is a clinically accepted measure of global arterial stiffness.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"06 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":"128278691","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":"Interpreter for breast thermogram characterization","authors":"V. Umadevi, S. Raghavan, Sandeep D. Jaipurkar","doi":"10.1109/IECBES.2010.5742218","DOIUrl":"https://doi.org/10.1109/IECBES.2010.5742218","url":null,"abstract":"Breast thermography is a painless, non-invasive and non-ionizing medical imaging technique useful for early breast screening. Study shows that abnormal breast thermal image initiates the requirement for detailed diagnosis to probe the presence of cancerous cells. Hence identification of the subject's breast thermal image as normal or a case for follow-up is a necessity for diagnosis. Breast thermal image is a visual representation of breast skin surface temperature. Direct visual interpretation of breast thermal image to conclude whether it is normal or a case for follow-up (abnormal) is tedious. In this work we propose a interpretation system for characterization of breast thermal image as normal or a case for follow-up. Our proposed system is represented as ITBIC interpreter. Breast thermal images obtained from 50 female volunteers were characterized using ITBIC interpreter, results are matching to clinical findings. With graphical user interface, ITBIC interpreter will be a useful tool for initial and mass screening of subjects.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"4 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":"128493570","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}