{"title":"Nasal cycle analysis with the use of acoustic rhinometry","authors":"P. Boguski, A. Grzanka","doi":"10.1109/MEMEA.2008.4542998","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542998","url":null,"abstract":"The work presents the results of a new way of nasal cycle assessment using acoustic rhinometry as a data source and cross-spectrum to process measurement results. The results of the research conducted on the group of 12 young volunteers were shown. Nasal cycles were present in 75% cases and lasted 110 minutes on average. The described methodology shall be of clinical importance in the course of allergy assessment as well as widely understood rhinology diagnostics.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116021755","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":"MRI Image Enhancement By PROPELLER Data Fusion","authors":"K. Malczewski","doi":"10.1504/IJAMC.2009.026850","DOIUrl":"https://doi.org/10.1504/IJAMC.2009.026850","url":null,"abstract":"The MRI image reconstruction supported by Toeplitz- based iterative super-resolution algorithm is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when multi-blade sequences are used. The PROPELLER MRI method collects data from rectangular regions (blades) rotated around the origin of the k-space. Inter-blade patient motion is the premise for the use of super-resolution technique. Images obtained from sets of irregularly located frequency domain samples are combined into the high resolution MRI image. The super-resolution reconstruction replaces usually applied direct averaging of low- resolution images. Furthermore high order affine motion model has been applied.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124384983","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":"Full range Complex Fourier Domain Optical Coherence Tomography based on a Quadrature Mach-Zehnder Interferometer","authors":"C. Flueraru, L. Mao, S. Sherif, Shoude Chang","doi":"10.1109/MEMEA.2008.4542997","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542997","url":null,"abstract":"An optical setup for a full range complex Fourier domain optical coherence tomography is proposed and the associated features discussed. We propose a novel interferometric platform based on a quadrature Mach-Zehnder interferometer with a 3 times 3 fiber coupler. This interferometric configuration is used in a homodyne configuration and the complex interferometric signal is reconstructed so the complex conjugate ambiguity is removed. A fast swept laser source with a bandwidth of 100 nm is used as light source. The depth information is extracted through inverse Fourier transform of the complex interferometric signal. Tomographic images of a human fingerprint were displayed.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116783715","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":"Rapid Ball-and-Socket Joint Collision Detection","authors":"Ding Cai, Won-sook Lee, C. Joslin","doi":"10.1109/MEMEA.2008.4542991","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542991","url":null,"abstract":"Physically based modeling simulations require efficient physical interaction between objects in a scene. We developed a rapid and accurate system to detect collision and compute approximate stress between spherical objects by rasterizing the polygons with distance data in spherical coordinate system. Our system achieves much faster and more accurate performance in this case compared to the existing approaches. Weighted sampling is studied based on the conchoid representation of the hip joint.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133884129","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":"Breathing Signal Fusion in Pressure Sensor Arrays","authors":"M. Holtzman, A. Arcelus, R. Goubran, F. Knoefel","doi":"10.1109/MEMEA.2008.4543001","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543001","url":null,"abstract":"Pressure sensors can be used to unobtrusively obtain breathing signals from a person in bed. Obtaining a single representation of the breathing signal from an array of such sensors requires data-level fusion. We propose a decision directed adaptive linear estimator to perform this fusion online. The proposed method was compared with three other online fusion methods and two offline methods using one hundred data records collected from five healthy participants. The decision directed adaptive linear estimator had signal to noise ratios comparable to the offline correlation method that it was adapted from and better mutual information results. In the presence of movement noise and for low amplitude signals, the proposed method also provides good fusion performance.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130033049","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}
Jeff Gilchrist, D. Townsend, C. M. Ennett, M. Frize, E. Bariciak
{"title":"Discrimination of Inconsistencies in Medical Data","authors":"Jeff Gilchrist, D. Townsend, C. M. Ennett, M. Frize, E. Bariciak","doi":"10.1109/MEMEA.2008.4543004","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543004","url":null,"abstract":"Missing and erroneous values in patient cases can significantly impact the ability to perform biomedical research for identifying risk factors and causes of clinical events and disease progression. We present a framework that classifies the inconsistencies in a database to automatically process the data for research purposes. The goal is to improve the quality of medical databases by identifying the reason that data are missing, and automatically processing outliers and typographical errors to retain more information from a database. This framework presents an alternative to deleting cases with outliers and typographical errors, while also imputing relevant values into cases with missing data based on the reason that the data is missing, the source of the data, and the data type.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125994180","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 Rehabilitation Exercises Performance Evaluation Using Fuzzy Inference Systems","authors":"A. Barghout, A. Alamri, M. Eid, A. El Saddik","doi":"10.1109/MEMEA.2008.4542989","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542989","url":null,"abstract":"Nowadays stroke is becoming a leading cause of chronic disability in adults. Hand stroke patients loose the ability to control their hands and Angers. Rehabilitation of stroke patients with functional occupational therapy is conducted by training the patient to perform exercises from everyday life. A set of task oriented exercises utilizing haptic virtual environments was developed in our previous work; based on well established and common exercises known as Jebsen Test of Hand Function (JTHF). Quantizing the performance of the patient in an exercise is usually the responsibility of the therapist and is currently performed subjectively. The aim of this paper is to introduce a Fuzzy Inference System (FIS) that is able to utilize haptic data to quantize the patient's performance. However, when testing the system, it has been found that the CyberForce system is incapable of providing normative data for evaluating the patient performance due to calibration and consistency issues.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133699653","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 How and Why of Medical Devices Standards","authors":"T. Mussivand","doi":"10.1109/MEMEA.2008.4542985","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542985","url":null,"abstract":"The utilization of medical devices includes prevention, diagnosis and treatment of disease. Despite the many benefits, devices also pose potential adverse effects. As a result, standards have been implemented as a precluding determinant to protect the public against adverse effects and support approval for clinical use. Standards are formulated based on the following: 1. Safety, efficacy and protection of society 2. Need for helping patients 3. Scientific knowledge available at the time of device/drug approval 4. Level of risk that is acceptable, reasonable and can be acceptable by all stakeholders including patients, society, hospitals, healthcare providers and governments Valid, scientific evidence is required for reasonable assurance of the safety of a particular medical device. It is imperative that this evidence be measured using a dynamic set of standards formulated by all stakeholders.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736221","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":"Search for abnormal thermal patterns in clinical thermal infrared imaging","authors":"C. Herry, M. Frize, R. Goubran","doi":"10.1109/MEMEA.2008.4542999","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542999","url":null,"abstract":"This paper presents a technique to uncover abnormal thermal patterns in clinical thermal infrared images. When little information is known about pathological states, the search for abnormal thermal patterns is difficult. Supervised approaches require extensive knowledge about the distribution of abnormal patterns and are not appropriate for blind searches. We propose an approach that is based on a fusion of clusters from feature images and from an unsupervised clustering adaptive resonance theory (ART) neural network. We show that abnormal thermal patterns can be recovered in a selected number of controlled cases, where the number and location of anomalies are known. First results indicate the potential usefulness of our method for large scale screening of patients.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133185136","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":"An Adaptively Tunable Model of the Cardiac Signal for the Bio-Impedance Signal Decomposer (BISD)","authors":"A. Krivoshei, V. Kukk, M. Min","doi":"10.1109/MEMEA.2008.4542996","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542996","url":null,"abstract":"The paper presents the further development of the bio- impedance signal decomposer (BISD) of the total bio-impedance (BI) signal to its cardiac and respiratory components. The Jacobi orthonormal polynomials based adaptively tunable model of the cardiac BI signal is proposed in the paper, which plays very important role in the decomposition task. The importance arises from the fact, that the BISD must be reliable and have to correct operate with signals taken from different persons, and in such cases, when the cardiac BI signal of a person is changing in time. For the proposed system the reliability significantly depends on the difference between the model of the cardiac signal and the real cardiac signal (the reference signal). The averaged through several periods version of the already separated cardiac BI signal is used as reference signal in the proposed algorithm for tuning the parameters of the cardiac BI signal model using a modified Newton adaptation algorithm. After the model is elaborated, the system separates the cardiac and the respiratory components more accurately by tracking the cardiac BI signal.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130266655","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}