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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)最新文献

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A vision for the use of proactive mobile computing tools to empower people with chronic conditions 使用主动移动计算工具增强慢性病患者权能的愿景
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.21
A. G. Mathews, Richard Butler
{"title":"A vision for the use of proactive mobile computing tools to empower people with chronic conditions","authors":"A. G. Mathews, Richard Butler","doi":"10.1109/CBMS.2005.21","DOIUrl":"https://doi.org/10.1109/CBMS.2005.21","url":null,"abstract":"A wearable health care monitoring system is proposed. Constant monitoring can improve the patient's quality of life for various health conditions such as diabetes and obesity. This can be achieved by empowering and educating individual patients with proactive mobile computing tools and technologies such as mobile phones, Bluetooth and WAP. Integrating these tools provides a transparent way of monitoring, analysing and modelling their metabolic performance and allows patients to become more responsible for the management of their health conditions. This, in time, could help reduce the workload on health service providers such as the NHS, who are at present struggling to meet the rise in health care demands.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985687","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}
引用次数: 16
Improving mining of medical data by outliers prediction 利用离群值预测改进医疗数据挖掘
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.68
V. Podgorelec, M. Heričko, I. Rozman
{"title":"Improving mining of medical data by outliers prediction","authors":"V. Podgorelec, M. Heričko, I. Rozman","doi":"10.1109/CBMS.2005.68","DOIUrl":"https://doi.org/10.1109/CBMS.2005.68","url":null,"abstract":"In the paper a new outlier prediction method is presented that should improve the classification performance when mining the medical data. The method introduces the class confusion score metric that is based on the classification results of a set of classifiers, induced by an evolutionary decision tree induction algorithm. The classification improvement should be achieved by removing the identified outliers from a training set. Our proposition is that a classifier trained by a filtered dataset captures a better, more general knowledge model and should therefore perform better also on unseen cases. The proposed method is applied on the two cardio-vascular datasets and the obtained results are discussed.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961376","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}
引用次数: 48
Mining associations over human sleep time series 挖掘人类睡眠时间序列的关联
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.75
Parameshvyas Laxminarayan, Carolina Ruiz, S. A. Alvarez, M. Moonis
{"title":"Mining associations over human sleep time series","authors":"Parameshvyas Laxminarayan, Carolina Ruiz, S. A. Alvarez, M. Moonis","doi":"10.1109/CBMS.2005.75","DOIUrl":"https://doi.org/10.1109/CBMS.2005.75","url":null,"abstract":"We introduce an association rule mining technique for complex datasets described by both static and time-dependent attributes, and apply this technique to find associations among sleep questionnaire responses, clinical summary information, and all-night polysomnographic recordings of sleeping human subjects. Questionnaire data and clinical summaries comprised a total of 63 variables including gender, age, body mass index, Epworth and depression scores. The Rechtschaffen and Kales (R&K) sleep staging information that is standard in sleep research was extracted from the polysomnographic data, and the polysomnographic signals were discretized. The resulting preprocessed polysomnographic data attributes consist of 6 time sequences: sleep stage, airway pressure, blood oxygen potential, heart rate, apneaic episodes and desaturation events, and the patient's body position. An extension of the Apriori association rule mining algorithm designed to deal with time-varying sequences using time windows was developed and employed to uncover statistically significant (P<0.01) and clinically meaningful associations among summary and polysomnographic time series variables.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132308780","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}
引用次数: 10
Grid computing in 3D-EM image processing using Xmipp 网格计算在3D-EM图像处理中的应用
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.60
S. Scheres, A. Merino, C. Sorzano, J. Carazo
{"title":"Grid computing in 3D-EM image processing using Xmipp","authors":"S. Scheres, A. Merino, C. Sorzano, J. Carazo","doi":"10.1109/CBMS.2005.60","DOIUrl":"https://doi.org/10.1109/CBMS.2005.60","url":null,"abstract":"Image processing in three-dimensional electron microscopy (3D-EM) is characterized by large amounts of data, and voluminous computing requirements. Here, we report our first experience with grid computing in this area. We present an interface between grid computing middleware and our image processing package Xmipp. The efficacy of this approach was illustrated with an Xmipp application for estimation of the contrast transfer function. In addition, we report our experience with grid computing in the development of a novel image refinement algorithm based on maximum likelihood principles. Its extensive CPU-requirements might have seriously hampered the algorithm development, if not for the far-reaching resources of grid computing. Our results suggest that electron microscopy image processing may be particularly well suited for grid computing.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131112842","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}
引用次数: 5
A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care 一个用于研究居民属性对长期护理停留时间模式影响的工具
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.20
Haifeng Xie, T. Chaussalet, P. Millard
{"title":"A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care","authors":"Haifeng Xie, T. Chaussalet, P. Millard","doi":"10.1109/CBMS.2005.20","DOIUrl":"https://doi.org/10.1109/CBMS.2005.20","url":null,"abstract":"Understanding the differential pattern of length of stay (LOS) in long-term care (LTC) due to residents' attributes has important practical implications in the management of long-term care. In this paper, we extend a previously developed modelling approach to incorporate residents' attributes. Two applications using data collected by a local authority in England are presented to demonstrate the potential use of this extension. In the study of possible difference in LOS pattern due to gender, our model provides quantitative support to the observations that mate residents admitted to NC take more time to settle down and have poorer short-term survival prospect than female residents.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"15 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126535203","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}
引用次数: 2
An iterative approach for reconstruction of arbitrary sparsely sampled magnetic resonance images 任意稀疏采样磁共振图像的迭代重建方法
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.27
H. Pirsiavash, M. Soleymani, G. Hossein-Zadeh
{"title":"An iterative approach for reconstruction of arbitrary sparsely sampled magnetic resonance images","authors":"H. Pirsiavash, M. Soleymani, G. Hossein-Zadeh","doi":"10.1109/CBMS.2005.27","DOIUrl":"https://doi.org/10.1109/CBMS.2005.27","url":null,"abstract":"In many fast MR imaging techniques, K-space is sampled sparsely in order to gain a fast traverse of K-space. These techniques use non-Cartesian sampling trajectories like radial, zigzag, and spiral. In the reconstruction procedure, usually interpolation methods are used to obtain missing samples on a regular grid. In this paper, we propose an iterative method for image reconstruction which uses the black marginal area of the image. The proposed iterative solution offers a great enhancement in the quality of the reconstructed image in comparison with conventional algorithms like zero filling and neural network. This method is applied on MRI data and its improved performance over other methods is demonstrated.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124286326","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}
引用次数: 2
Objective grading of facial paralysis using artificial intelligence analysis of video data 基于视频数据的人工智能分析对面瘫进行客观分级
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.78
Stewart McGrenary, B. O'Reilly, J. Soraghan
{"title":"Objective grading of facial paralysis using artificial intelligence analysis of video data","authors":"Stewart McGrenary, B. O'Reilly, J. Soraghan","doi":"10.1109/CBMS.2005.78","DOIUrl":"https://doi.org/10.1109/CBMS.2005.78","url":null,"abstract":"Facial paralysis is a debilitating condition in which sufferers experience unilateral paralysis of the left or right facial nerve. An evidence based assessment of a patient's condition is almost impossible because all current grading scales are subjective. A quantitative, practical, reliable system would be an invaluable tool in this field of neurootology. Demonstrated here is a system which intelligently quantifies the facial damage in 43 testing videos from 14 subjects. Using an artificial neural network the average mean squared error for the system is 1.6%.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257893","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}
引用次数: 25
Analysis of the pancreato-biliary system from MRCP MRCP对胰胆系统的分析
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.31
K. Robinson, P. Whelan
{"title":"Analysis of the pancreato-biliary system from MRCP","authors":"K. Robinson, P. Whelan","doi":"10.1109/CBMS.2005.31","DOIUrl":"https://doi.org/10.1109/CBMS.2005.31","url":null,"abstract":"We present a preprocessing and segmentation scheme designed to address the particular difficulties encountered in the analysis of magnetic resonance cholangiopancreatography (MRCP) data, as a precursor to the application of computer assisted diagnosis (CAD) techniques. MRCP generates noisy, low resolution, non-isometric data which often exhibits significant greylevel inhomogeneities. This combination of characteristics results in data volumes in which reliable segmentation and analysis are difficult to achieve. In this paper we describe a data processing approach developed to overcome these difficulties and allow for the effective application of automated CAD procedures in the analysis of the biliary tree and pancreatic duct in MRCP examinations.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122093198","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}
引用次数: 8
Local dimensionality reduction within natural clusters for medical data analysis 用于医疗数据分析的自然聚类局部降维
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.71
Mykola Pechenizkiy, A. Tsymbal, S. Puuronen
{"title":"Local dimensionality reduction within natural clusters for medical data analysis","authors":"Mykola Pechenizkiy, A. Tsymbal, S. Puuronen","doi":"10.1109/CBMS.2005.71","DOIUrl":"https://doi.org/10.1109/CBMS.2005.71","url":null,"abstract":"Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before applying a learning algorithm. Especially it is important for multidimensional heterogeneous data, presented by a large number of features of different types. Dimensionality reduction is one commonly applied approach. The goal of this paper is to study the impact of natural clustering on dimensionality reduction for classification. We compare several data mining strategies that apply dimensionality reduction by means of feature extraction or feature selection for subsequent classification. We show experimentally on microbiological data that local dimensionality reduction within natural clusters results in a better feature space for classification in comparison with the global search in terms of generalization accuracy.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117169684","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}
引用次数: 14
A method for the ECG inverse problem in the frequency domain 心电信号频域逆问题的一种求解方法
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.12
César Navarro, Colin Turner, O. Escalona, C. Owens, J. Anderson, A. Adgey
{"title":"A method for the ECG inverse problem in the frequency domain","authors":"César Navarro, Colin Turner, O. Escalona, C. Owens, J. Anderson, A. Adgey","doi":"10.1109/CBMS.2005.12","DOIUrl":"https://doi.org/10.1109/CBMS.2005.12","url":null,"abstract":"The Inverse ECG problem is ill-conditioned and its solution requires a relatively high computing effort. Additional constraints are required in order to obtain a stable solution. A method is proposed in which the solution of the inverse ECG problem is approached in the frequency domain, taking advantage of the assumption that propagation delays may be ignored and the quasi-periodicity of ECG. In this method usual Tikhonov zero-order constraints are applied to the amplitudes of the signals for a selected frequency domain. This method ensures faster solutions that are spatially and temporally well behaved. Calculation of epicardial electrograms is compared to a basic method.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122691814","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}
引用次数: 2
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