Miren I. Bagüés, J. Bermúdez, A. Burgos, A. Goñi, A. Illarramendi, Jimena Rodríguez, A. Tablado
Continuous pervasive monitoring has the potential to improve the quality of life of many persons (for example those who suffer from heart arrhythmias or elderly people who suffer from chronic diseases). We show the three main steps related to the monitoring process and supported by our system. First, how data are captured by sensors which send those data using wireless communications to a PDA (personal digital assistant). Second, how data are analyzed, locally on the PDA, using techniques proposed in the areas of the semantic Web and machine learning. Finally, how data stored at the PDA can be queried remotely using Web services. Those three steps are illustrated in two different scenarios that the system can deal with: tele-assistance and monitoring of arrhythmias. Moreover, through the paper we highlight the main advantages provided by the system: active monitoring which consists in reacting to anomalous situations without direct intervention of the user; universal assistance, i.e. irrespective of time or place through the use of wireless communications and PDAs; vital signs monitoring which consists in using sensors that capture the value of those vital signs, and subsequently feed them to a decision support system that analyses them and generates an alarm if necessary; and remote monitoring which allows authorized personal to consult data on monitored patients, using the Internet. Finally we present some performance results which demonstrate the feasibility of the system
{"title":"An Innovative System that Runs on a PDA for a Continuous Monitoring of People","authors":"Miren I. Bagüés, J. Bermúdez, A. Burgos, A. Goñi, A. Illarramendi, Jimena Rodríguez, A. Tablado","doi":"10.1109/CBMS.2006.40","DOIUrl":"https://doi.org/10.1109/CBMS.2006.40","url":null,"abstract":"Continuous pervasive monitoring has the potential to improve the quality of life of many persons (for example those who suffer from heart arrhythmias or elderly people who suffer from chronic diseases). We show the three main steps related to the monitoring process and supported by our system. First, how data are captured by sensors which send those data using wireless communications to a PDA (personal digital assistant). Second, how data are analyzed, locally on the PDA, using techniques proposed in the areas of the semantic Web and machine learning. Finally, how data stored at the PDA can be queried remotely using Web services. Those three steps are illustrated in two different scenarios that the system can deal with: tele-assistance and monitoring of arrhythmias. Moreover, through the paper we highlight the main advantages provided by the system: active monitoring which consists in reacting to anomalous situations without direct intervention of the user; universal assistance, i.e. irrespective of time or place through the use of wireless communications and PDAs; vital signs monitoring which consists in using sensors that capture the value of those vital signs, and subsequently feed them to a decision support system that analyses them and generates an alarm if necessary; and remote monitoring which allows authorized personal to consult data on monitored patients, using the Internet. Finally we present some performance results which demonstrate the feasibility of the system","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129000248","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}
This paper discusses a personalized heart monitoring system using smart phones and wireless (bio) sensors. We combine ubiquitous computing with mobile health technology to monitor the wellbeing of high risk cardiac patients. The smart phone analyses in real-time the ECG data and determines whether the person needs external help. We focus on two life threatening arrhythmias: ventricular fibrillation (VF) and ventricular tachycardia (VT). The smart phone can automatically alert the ambulance and pre assigned caregivers when a VF/VT arrhythmia is detected. The system can be personalized to the needs and requirements of the patient. It can be used to give advice (e.g. exercise more) or to reassure the patient when the bio-sensors and environmental data are within predefined ranges
{"title":"Personal Heart Monitoring System Using Smart Phones To Detect Life Threatening Arrhythmias","authors":"P. Leijdekkers, V. Gay","doi":"10.1109/CBMS.2006.128","DOIUrl":"https://doi.org/10.1109/CBMS.2006.128","url":null,"abstract":"This paper discusses a personalized heart monitoring system using smart phones and wireless (bio) sensors. We combine ubiquitous computing with mobile health technology to monitor the wellbeing of high risk cardiac patients. The smart phone analyses in real-time the ECG data and determines whether the person needs external help. We focus on two life threatening arrhythmias: ventricular fibrillation (VF) and ventricular tachycardia (VT). The smart phone can automatically alert the ambulance and pre assigned caregivers when a VF/VT arrhythmia is detected. The system can be personalized to the needs and requirements of the patient. It can be used to give advice (e.g. exercise more) or to reassure the patient when the bio-sensors and environmental data are within predefined ranges","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127654060","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}
M. Tsipouras, T. Exarchos, D. Fotiadis, A. Kotsia, Aikaterinh Naka, L. Michalis
A rule-based decision support system is presented for the diagnosis of coronary artery disease. The generation of the decision support system is realized automatically using a three stage methodology: (a) induction of a decision tree from a training set and extraction of a set of rules; (b) transformation of the set of rules into a fuzzy model and (c) optimization of the parameters of the fuzzy model. The system is evaluated using 199 subjects, each one characterized by 19 features, including demographic and history data, as well as laboratory examinations. Ten fold cross validation was employed and the average sensitivity and specificity obtained was 80% and 65% respectively. Our approach provides diagnosis based on easily acquired features and, since it is rule based, is able to provide interpretation for the decisions made
{"title":"A Decision Support System for the Diagnosis of Coronary Artery Disease","authors":"M. Tsipouras, T. Exarchos, D. Fotiadis, A. Kotsia, Aikaterinh Naka, L. Michalis","doi":"10.1109/CBMS.2006.9","DOIUrl":"https://doi.org/10.1109/CBMS.2006.9","url":null,"abstract":"A rule-based decision support system is presented for the diagnosis of coronary artery disease. The generation of the decision support system is realized automatically using a three stage methodology: (a) induction of a decision tree from a training set and extraction of a set of rules; (b) transformation of the set of rules into a fuzzy model and (c) optimization of the parameters of the fuzzy model. The system is evaluated using 199 subjects, each one characterized by 19 features, including demographic and history data, as well as laboratory examinations. Ten fold cross validation was employed and the average sensitivity and specificity obtained was 80% and 65% respectively. Our approach provides diagnosis based on easily acquired features and, since it is rule based, is able to provide interpretation for the decisions made","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127862115","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}
Diego D. B. Carvalho, T. R. D. Santos, A. V. Wangenheim
This paper presents a method for arterial diameter measurement for the patient customization of endovascular prosthesis and for the assistance in preoperative procedures. The use of three-dimensional reconstruction and organ representation through a traversable geometric representation, known as doubly linked face list (DLFL), which guarantees some topological properties, allows the measurement of the diameter of the polygons formed by the intersection between any arbitrary plane and the organ to be performed in a very efficient way
{"title":"Measuring Arterial Diameters for Surgery Assistance, Patient Customized Endovascular Prosthesis Design and Post-Surgery Evaluation","authors":"Diego D. B. Carvalho, T. R. D. Santos, A. V. Wangenheim","doi":"10.1109/CBMS.2006.113","DOIUrl":"https://doi.org/10.1109/CBMS.2006.113","url":null,"abstract":"This paper presents a method for arterial diameter measurement for the patient customization of endovascular prosthesis and for the assistance in preoperative procedures. The use of three-dimensional reconstruction and organ representation through a traversable geometric representation, known as doubly linked face list (DLFL), which guarantees some topological properties, allows the measurement of the diameter of the polygons formed by the intersection between any arbitrary plane and the organ to be performed in a very efficient way","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799153","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. Geddes, C. Mackay, S. Lloyd, A. Simpson, D. Power, Douglas Russell, M. Katzarova, M. Rossor, Nick C Fox, J. Fletcher, D. Hill, K. McLeish, J. Hajnal, S. Lawrie, D. Job, A. McIntosh, J. Wardlaw, P. Sandercock, Jeb Palmer, D. Perry, R. Procter, Jenny Ure, P. Bath, Graham Watson
The three-year UK NeuroGrid project aims to develop a grid-based collaborative research environment to support the data and compute needs for a UK Neurosciences community. This paper describes the challenges in developing this architecture and details initial results from the development of its first prototype to support psychosis, dementia and stroke research and the social challenges of such a collaborative research project. The paper discusses approaches being taken to explore the collaborative science process to inform the requirements for follow on prototypes and methods utilized to develop an effective project team
{"title":"The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences","authors":"J. Geddes, C. Mackay, S. Lloyd, A. Simpson, D. Power, Douglas Russell, M. Katzarova, M. Rossor, Nick C Fox, J. Fletcher, D. Hill, K. McLeish, J. Hajnal, S. Lawrie, D. Job, A. McIntosh, J. Wardlaw, P. Sandercock, Jeb Palmer, D. Perry, R. Procter, Jenny Ure, P. Bath, Graham Watson","doi":"10.1109/CBMS.2006.156","DOIUrl":"https://doi.org/10.1109/CBMS.2006.156","url":null,"abstract":"The three-year UK NeuroGrid project aims to develop a grid-based collaborative research environment to support the data and compute needs for a UK Neurosciences community. This paper describes the challenges in developing this architecture and details initial results from the development of its first prototype to support psychosis, dementia and stroke research and the social challenges of such a collaborative research project. The paper discusses approaches being taken to explore the collaborative science process to inform the requirements for follow on prototypes and methods utilized to develop an effective project team","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126473453","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}
Bodhisatwa Mazumdar, Aman Mediratta, J. Bhattacharyya, S. Banerjee
Ultrasound images are masked by multiplicative speckle noise caused by random interference between coherent backscattered waves. This paper presents an efficient algorithm for real-time speckle cleaning filter of ultrasound images and its VLSI implementation in FPGA. The algorithm presented here implements a regular, tunable filter with an optimized architecture having proper parallelism and pipelining to achieve high speed. The performance of the proposed filter is compared to that of the aggressive region growing filter (ARGF). The processed images obtained from the proposed filter are speckle removed and the edge details are also restored effectively. Also, the PSNR performance is better than the ARGF filter while noise variance is lower indicating a cleaner image as more speckle is reduced
{"title":"A Real Time Speckle Noise Cleaning Filter for Ultrasound Images","authors":"Bodhisatwa Mazumdar, Aman Mediratta, J. Bhattacharyya, S. Banerjee","doi":"10.1109/CBMS.2006.26","DOIUrl":"https://doi.org/10.1109/CBMS.2006.26","url":null,"abstract":"Ultrasound images are masked by multiplicative speckle noise caused by random interference between coherent backscattered waves. This paper presents an efficient algorithm for real-time speckle cleaning filter of ultrasound images and its VLSI implementation in FPGA. The algorithm presented here implements a regular, tunable filter with an optimized architecture having proper parallelism and pipelining to achieve high speed. The performance of the proposed filter is compared to that of the aggressive region growing filter (ARGF). The processed images obtained from the proposed filter are speckle removed and the edge details are also restored effectively. Also, the PSNR performance is better than the ARGF filter while noise variance is lower indicating a cleaner image as more speckle is reduced","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957985","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}
Gridding and spot segmentation are two critical steps in microarray gene expression data analysis. However, the problems of noise contamination and donut-shaped spots often make signal extraction process a labor intensive task. In this paper, we propose a three-step method for automatic gridding and spot segmentation. The method starts with a background removal and noise eliminating step, and then proceeds in two steps. The first step applies a fully unsupervised method to extract blocks and grids from the cleaned data. The second step applies a simple, progressive spot segmentation method to deal with inner holes and noise in spots. We tested its performance on real microarray images against a widely used software GenePix. Our results show that the proposed method deals effectively with poor-conditioned microarray images in both gridding and spot segmentation
{"title":"An Automated Gridding and Segmentation Method for cDNA Microarray Image Analysis","authors":"Wei-bang Chen, Chengcui Zhang, Wen-Lin Liu","doi":"10.1109/CBMS.2006.37","DOIUrl":"https://doi.org/10.1109/CBMS.2006.37","url":null,"abstract":"Gridding and spot segmentation are two critical steps in microarray gene expression data analysis. However, the problems of noise contamination and donut-shaped spots often make signal extraction process a labor intensive task. In this paper, we propose a three-step method for automatic gridding and spot segmentation. The method starts with a background removal and noise eliminating step, and then proceeds in two steps. The first step applies a fully unsupervised method to extract blocks and grids from the cleaned data. The second step applies a simple, progressive spot segmentation method to deal with inner holes and noise in spots. We tested its performance on real microarray images against a widely used software GenePix. Our results show that the proposed method deals effectively with poor-conditioned microarray images in both gridding and spot segmentation","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130665094","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}
Jean-Baptiste Fasquel, Guillaume Brocker, Johan Moreau, V. Agnus, Nicolas Papier, C. Koehl, L. Soler, J. Marescaux
This paper deals with the design aspect of a software for modeling the anatomical and pathological structures of patients from medical images, for diagnosis purposes. In terms of functionalities, it allows to combine image processing algorithms, and to visualize and manipulate 3D models and images. The proposed software uses appropriate design patterns, specific extensible and reusable components and a system managing their combination, thanks to a formal XML-based description of their interfaces. This architecture facilitates the dynamic integration of new functionalities, in particular in terms of image processing algorithms. We describe the structural and behavioral aspects of the proposed component-based architecture
{"title":"A Modular and Evolutive Software for Patient Modeling Using Components, Design Patterns and a Formal XML-Based Component Management System","authors":"Jean-Baptiste Fasquel, Guillaume Brocker, Johan Moreau, V. Agnus, Nicolas Papier, C. Koehl, L. Soler, J. Marescaux","doi":"10.1109/CBMS.2006.18","DOIUrl":"https://doi.org/10.1109/CBMS.2006.18","url":null,"abstract":"This paper deals with the design aspect of a software for modeling the anatomical and pathological structures of patients from medical images, for diagnosis purposes. In terms of functionalities, it allows to combine image processing algorithms, and to visualize and manipulate 3D models and images. The proposed software uses appropriate design patterns, specific extensible and reusable components and a system managing their combination, thanks to a formal XML-based description of their interfaces. This architecture facilitates the dynamic integration of new functionalities, in particular in terms of image processing algorithms. We describe the structural and behavioral aspects of the proposed component-based architecture","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133434662","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}
The use of modern telecommunications technologies like telemedicine and the Internet is essential to decrease the centralization of the Brazilian's public healthcare service, and to improve the access to specialty care in small-tows and rural localities. In this paper, we describe the development and implementation of a public statewide telemedicine network in the Brazilian 's State of Santa Catarina
{"title":"A Statewide Telemedicine Network for Public Health in Brazil","authors":"R. Maia, A. V. Wangenheim, L. Nobre","doi":"10.1109/CBMS.2006.29","DOIUrl":"https://doi.org/10.1109/CBMS.2006.29","url":null,"abstract":"The use of modern telecommunications technologies like telemedicine and the Internet is essential to decrease the centralization of the Brazilian's public healthcare service, and to improve the access to specialty care in small-tows and rural localities. In this paper, we describe the development and implementation of a public statewide telemedicine network in the Brazilian 's State of Santa Catarina","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"147 6-9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132846734","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}
Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually represented in a principled fashion. As a result, investigators often develop custom techniques for temporal data analysis that are difficult to reuse. We addressed this problem by developing a set of knowledge-driven methods and tools for temporally representing and querying biomedical data, and have integrated them using a mediator approach. A central issue driving our work is a need to integrate temporal representations of data in relational databases with the domain-specific semantics of temporal patterns used in querying. This paper presents a formal temporal knowledge model using the semantic Web ontology and rule languages, OWL and SWRL, respectively. The model informs the mediator of the temporal semantics used for data analysis. We show that our approach provides the computational foundation for much-needed software to make sense of complex temporal patterns in two biomedical research domains
{"title":"An Ontology-Driven Mediator for Querying Time-Oriented Biomedical Data","authors":"M. O'Connor, R. Shankar, Amar K. Das","doi":"10.1109/CBMS.2006.41","DOIUrl":"https://doi.org/10.1109/CBMS.2006.41","url":null,"abstract":"Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually represented in a principled fashion. As a result, investigators often develop custom techniques for temporal data analysis that are difficult to reuse. We addressed this problem by developing a set of knowledge-driven methods and tools for temporally representing and querying biomedical data, and have integrated them using a mediator approach. A central issue driving our work is a need to integrate temporal representations of data in relational databases with the domain-specific semantics of temporal patterns used in querying. This paper presents a formal temporal knowledge model using the semantic Web ontology and rule languages, OWL and SWRL, respectively. The model informs the mediator of the temporal semantics used for data analysis. We show that our approach provides the computational foundation for much-needed software to make sense of complex temporal patterns in two biomedical research domains","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131356085","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}
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