Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001808
C. S. Deolindo, A. Kunicki, F. Brasil, R. Moioli
The anatomical and functional characterization of neuronal assemblies (NAs) is a major challenge in neuroscience. Principal component analysis (PCA) is a widely used method for feature detection, however, when dealing with neuronal data analysis, its limitations have not yet been fully understood. Our work complements previous PCA studies which, in general, characterise NAs based solely on excitatory neuronal interactions. We analysed the performance of PCA in two neglected scenarios: assemblies containing patterns of neural interactions (1) with inhibition and (2) with delays. The analyses considered two types of artificially generated data, one drawn from a traditional Poissonian model, and the other drawn from a latent multivariate Gaussian model; in both models, data from a behaving Wistar rat was used for parameter tuning. Our results highlight scenarios in which neglecting complex interactions between neurons can lead to false conclusions when using PCA to detect NAs. Also, we reinforce the importance of more realistic simulations in the evaluation of neuronal signal processing algorithms.
{"title":"Limitations of principal component analysis as a method to detect neuronal assemblies","authors":"C. S. Deolindo, A. Kunicki, F. Brasil, R. Moioli","doi":"10.1109/HealthCom.2014.7001808","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001808","url":null,"abstract":"The anatomical and functional characterization of neuronal assemblies (NAs) is a major challenge in neuroscience. Principal component analysis (PCA) is a widely used method for feature detection, however, when dealing with neuronal data analysis, its limitations have not yet been fully understood. Our work complements previous PCA studies which, in general, characterise NAs based solely on excitatory neuronal interactions. We analysed the performance of PCA in two neglected scenarios: assemblies containing patterns of neural interactions (1) with inhibition and (2) with delays. The analyses considered two types of artificially generated data, one drawn from a traditional Poissonian model, and the other drawn from a latent multivariate Gaussian model; in both models, data from a behaving Wistar rat was used for parameter tuning. Our results highlight scenarios in which neglecting complex interactions between neurons can lead to false conclusions when using PCA to detect NAs. Also, we reinforce the importance of more realistic simulations in the evaluation of neuronal signal processing algorithms.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127820207","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001821
Carlos Pereira, S. Frade, P. Brandão, R. Correia, Ana Aguiar
E-health has raised a great deal of expectations on improving the quality of health services while simultaneously enabling health services cost reductions. To advance towards those visions, it is imperative to gain the trust of the involved stakeholders, doctors and other medical personnel, patients, families, health care providers and regulators. Even though one critical requirement is interoperability among the various systems involved, currently existing solutions are still vertical silos to a large extent. In this paper, we present an E-health solution that results from the integration of components that comply with rising standards at the various levels of the ICT infrastructure: Machine-to-Machine (M2M) communications for interconnecting devices and services, Health Level 7 (HL7) for communicating with health platforms and openEHR for data semantics, storing and making data available. Concretely, we provide an interoperable and extensible e-health service following these three uprising standards and present the architecture design. We map the service to the various components of the infrastructure building blocks, thus demonstrating how the integration can be successfully accomplished. We are currently developing a prototype solution to be used in a pilot project with 15 elders.
{"title":"Integrating data and network standards into an interoperable e-Health solution","authors":"Carlos Pereira, S. Frade, P. Brandão, R. Correia, Ana Aguiar","doi":"10.1109/HealthCom.2014.7001821","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001821","url":null,"abstract":"E-health has raised a great deal of expectations on improving the quality of health services while simultaneously enabling health services cost reductions. To advance towards those visions, it is imperative to gain the trust of the involved stakeholders, doctors and other medical personnel, patients, families, health care providers and regulators. Even though one critical requirement is interoperability among the various systems involved, currently existing solutions are still vertical silos to a large extent. In this paper, we present an E-health solution that results from the integration of components that comply with rising standards at the various levels of the ICT infrastructure: Machine-to-Machine (M2M) communications for interconnecting devices and services, Health Level 7 (HL7) for communicating with health platforms and openEHR for data semantics, storing and making data available. Concretely, we provide an interoperable and extensible e-health service following these three uprising standards and present the architecture design. We map the service to the various components of the infrastructure building blocks, thus demonstrating how the integration can be successfully accomplished. We are currently developing a prototype solution to be used in a pilot project with 15 elders.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412653","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001846
R. Rauscher, R. Acharya
Health care is a highly regulated industry in which much value is placed upon privacy and confidentiality. The business of health care, particularly in certain academic environments, requires access to data of varying sensitivities, including information from the public Internet. This paper proposes a VLAN-based architecture for segregating data of varying sensitivities, a list of components that facilitate access to and distillation of data, and a method for one-way promotion of individual nodes from areas of lower security to areas of higher security. The proposed solution is an implementable and pragmatic approach to reducing the risk of data leakage. Quality of experience (QoE) measures of two methods for access (node promotion and porthole-based access) are compared. The node promotion method improves the user-perceived responsiveness of applications over the porthole-based method while reducing flexibility.
{"title":"A network security architecture to reduce the risk of data leakage for health care organizations","authors":"R. Rauscher, R. Acharya","doi":"10.1109/HealthCom.2014.7001846","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001846","url":null,"abstract":"Health care is a highly regulated industry in which much value is placed upon privacy and confidentiality. The business of health care, particularly in certain academic environments, requires access to data of varying sensitivities, including information from the public Internet. This paper proposes a VLAN-based architecture for segregating data of varying sensitivities, a list of components that facilitate access to and distillation of data, and a method for one-way promotion of individual nodes from areas of lower security to areas of higher security. The proposed solution is an implementable and pragmatic approach to reducing the risk of data leakage. Quality of experience (QoE) measures of two methods for access (node promotion and porthole-based access) are compared. The node promotion method improves the user-perceived responsiveness of applications over the porthole-based method while reducing flexibility.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126479449","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}
Pub Date : 2014-10-01DOI: 10.1109/HEALTHCOM.2014.7001839
F. Vitali, A. Amoroso, M. Roccetti, G. Marfia
We present a REST approach to build Health services on the Web. Our proposal originates by the necessity of evolving the current regional health service to accommodate emerging needs that are too complex to accomplish with the current system. The original system extends on the regional scale of Emilia-Romagna, and it is one of the most advanced in Italy. Our architecture inherits some of the basic Web methodologies and techniques to implement an highly scalable and flexible system that is capable to satisfy the current needs and their planned evolutions. Moreover, our approach should allow for an effortlessly addressing of future requirements not foreseen at the moment. Without revolutionizing the current IT infrastructure, our approach introduces a new paradigm that could be implemented by a sophisticated interface to access data and resources.
{"title":"RESTful services for an innovative e-Health infrastructure: A real case study","authors":"F. Vitali, A. Amoroso, M. Roccetti, G. Marfia","doi":"10.1109/HEALTHCOM.2014.7001839","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2014.7001839","url":null,"abstract":"We present a REST approach to build Health services on the Web. Our proposal originates by the necessity of evolving the current regional health service to accommodate emerging needs that are too complex to accomplish with the current system. The original system extends on the regional scale of Emilia-Romagna, and it is one of the most advanced in Italy. Our architecture inherits some of the basic Web methodologies and techniques to implement an highly scalable and flexible system that is capable to satisfy the current needs and their planned evolutions. Moreover, our approach should allow for an effortlessly addressing of future requirements not foreseen at the moment. Without revolutionizing the current IT infrastructure, our approach introduces a new paradigm that could be implemented by a sophisticated interface to access data and resources.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132876369","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001814
M. Varela, Toni Mäki, J. Merilahti, E. R. Rodriguez, A. Runge
Telemedicine applications provide many opportunities for improving health care in a variety of conditions, in particular for people living in remote or geographically isolated areas without fast access to doctors (“medical deserts”), such as some parts of Finland. In many applications, the technologies used are actually off-the shelf solutions for videoconferencing, in some cases even used in an Over The Top (OTT) fashion over best-effort networks. In these contexts, the quality (both Quality of Experience and Quality of Service) of the whole system can have a greater significance than in other contexts such as entertainment, yet there are no quality monitoring and assessment systems specifically conceived for this purpose. In this paper we present an on-going effort to develop an extensible quality monitoring and benchmarking platform designed with video-based telemedicine applications, and the particular issues associated with them, in mind.
远程医疗的应用为改善各种条件下的卫生保健提供了许多机会，特别是对于生活在偏远或地理上孤立、无法快速就医的地区("医疗沙漠")的人们，例如芬兰的一些地区。在许多应用程序中，所使用的技术实际上是现成的视频会议解决方案，在某些情况下，甚至在尽力而为的网络上以Over the Top (OTT)方式使用。在这些环境中，整个系统的质量(体验质量和服务质量)可能比其他环境(如娱乐)更重要，但没有专门为此目的设想的质量监控和评估系统。在本文中，我们提出了一项正在进行的努力，以开发一个可扩展的质量监测和基准测试平台，该平台设计基于视频的远程医疗应用，以及与之相关的特定问题。
{"title":"QuoTe an extensible platform for QoE monitoring and benchmarking of telemedicine applications","authors":"M. Varela, Toni Mäki, J. Merilahti, E. R. Rodriguez, A. Runge","doi":"10.1109/HealthCom.2014.7001814","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001814","url":null,"abstract":"Telemedicine applications provide many opportunities for improving health care in a variety of conditions, in particular for people living in remote or geographically isolated areas without fast access to doctors (“medical deserts”), such as some parts of Finland. In many applications, the technologies used are actually off-the shelf solutions for videoconferencing, in some cases even used in an Over The Top (OTT) fashion over best-effort networks. In these contexts, the quality (both Quality of Experience and Quality of Service) of the whole system can have a greater significance than in other contexts such as entertainment, yet there are no quality monitoring and assessment systems specifically conceived for this purpose. In this paper we present an on-going effort to develop an extensible quality monitoring and benchmarking platform designed with video-based telemedicine applications, and the particular issues associated with them, in mind.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"47 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132364981","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001830
Fabien Touvat, J. Poujaud, N. Noury
Assistive technologies are deployed to preserve good health and security of elderly people living independently in their own home. One such technology is the indoor localization which helps to detect the level of their daily activities. Among low intrusive technologies, the RF signal strength (RSSI) is a very attractive approach as it does not need additional localization hardware and is being already widely used in existing wireless components. We used ISM868 frequency band, the normalized social alarm band, but also ZigBee 2.4 GHz as an element of comparison. We demonstrated that RSSI measurement is not sufficient as is to locate a mobile device indoor.
{"title":"Indoor localization with wearable RF devices in 868MHz and 2.4GHz bands","authors":"Fabien Touvat, J. Poujaud, N. Noury","doi":"10.1109/HealthCom.2014.7001830","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001830","url":null,"abstract":"Assistive technologies are deployed to preserve good health and security of elderly people living independently in their own home. One such technology is the indoor localization which helps to detect the level of their daily activities. Among low intrusive technologies, the RF signal strength (RSSI) is a very attractive approach as it does not need additional localization hardware and is being already widely used in existing wireless components. We used ISM868 frequency band, the normalized social alarm band, but also ZigBee 2.4 GHz as an element of comparison. We demonstrated that RSSI measurement is not sufficient as is to locate a mobile device indoor.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130065970","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}
Pub Date : 2014-10-01DOI: 10.1109/HEALTHCOM.2014.7123253
Helber R. Ferreira, H. I. A. Bustos, Wilfredo B. Figuerola
This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.
{"title":"Simulation inverse problems of reconstruction of image data using patterned electrical impedance tomography female breast","authors":"Helber R. Ferreira, H. I. A. Bustos, Wilfredo B. Figuerola","doi":"10.1109/HEALTHCOM.2014.7123253","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2014.7123253","url":null,"abstract":"This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157096","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001811
Usman Pervez, O. Hasan, K. Latif, S. Tahar, A. Gawanmeh, M. Hamdi
Fast Health Interoperable Resources (FHIR) is the recently proposed standard from HL7. Its distinguishing features include the user friendly implementation, support of built-in terminologies and for widely-used web standards. Given the safety-critical nature of FHIR, the rigorous analysis of e-health systems using the FHIR is a dire need since they are prone to failures. As a first step towards this direction, we propose to use probabilistic model checking, i.e., a formal probabilistic analysis approach, to assess the reliability of a typical e-health system used in hospitals based on the FHIR standard. In particular, we use the PRISM model checker to analyze the Markov Decision Process (MDP) and Continuous Time Markov Chain (CTMC) models to assess the failure probabilities of the overall system.
{"title":"Formal reliability analysis of a typical FHIR standard based e-Health system using PRISM","authors":"Usman Pervez, O. Hasan, K. Latif, S. Tahar, A. Gawanmeh, M. Hamdi","doi":"10.1109/HealthCom.2014.7001811","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001811","url":null,"abstract":"Fast Health Interoperable Resources (FHIR) is the recently proposed standard from HL7. Its distinguishing features include the user friendly implementation, support of built-in terminologies and for widely-used web standards. Given the safety-critical nature of FHIR, the rigorous analysis of e-health systems using the FHIR is a dire need since they are prone to failures. As a first step towards this direction, we propose to use probabilistic model checking, i.e., a formal probabilistic analysis approach, to assess the reliability of a typical e-health system used in hospitals based on the FHIR standard. In particular, we use the PRISM model checker to analyze the Markov Decision Process (MDP) and Continuous Time Markov Chain (CTMC) models to assess the failure probabilities of the overall system.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134192245","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001903
Felipe S. Dantas Silva, José Castillo Lema, A. Neto, Flávio de Oliveira Silva, P. F. Rosa
The eHealth technology will change the way the health system is handled, mainly in developing countries, such as Brazil, where there is a huge shortage of healthcare professionals to assist the patients, especially for those living in rural and remote areas. The Context-Aware Mobile Approach (CAMA) seeks to improve the Brazilian primary healthcare system through context-aware eHealth facilities, such as people mobility, expecting to change the way that healthcare services are applied, managed, and maintained to achieve efficiency and safety for both patients and hospital staffs. Since this type of technology will handle vital parameters of people, it is mandatory that the involved network infrastructure can provide dependability and reliability so it can fulfill their role properly. This paper presents a network infrastructure based on the Software Defined Networking (SDN) paradigm to enable quality-oriented mobility control capabilities in the CAMA approach, to deploy mobility prediction, Point of Attachment (PoA) decision and handover setup meeting both application quality requirements and current wireless quality conditions, then improving the dependability and reliability of the eHealth biofeedback systems.
{"title":"Software defined eHealth networking towards a truly mobile and reliable system","authors":"Felipe S. Dantas Silva, José Castillo Lema, A. Neto, Flávio de Oliveira Silva, P. F. Rosa","doi":"10.1109/HealthCom.2014.7001903","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001903","url":null,"abstract":"The eHealth technology will change the way the health system is handled, mainly in developing countries, such as Brazil, where there is a huge shortage of healthcare professionals to assist the patients, especially for those living in rural and remote areas. The Context-Aware Mobile Approach (CAMA) seeks to improve the Brazilian primary healthcare system through context-aware eHealth facilities, such as people mobility, expecting to change the way that healthcare services are applied, managed, and maintained to achieve efficiency and safety for both patients and hospital staffs. Since this type of technology will handle vital parameters of people, it is mandatory that the involved network infrastructure can provide dependability and reliability so it can fulfill their role properly. This paper presents a network infrastructure based on the Software Defined Networking (SDN) paradigm to enable quality-oriented mobility control capabilities in the CAMA approach, to deploy mobility prediction, Point of Attachment (PoA) decision and handover setup meeting both application quality requirements and current wireless quality conditions, then improving the dependability and reliability of the eHealth biofeedback systems.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339196","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}
Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001874
J. L. Seixas, Sylvio Barbon Junior, C. Siqueira, I. Dias, Andre Giovanni Castaldin, A. S. Felinto
This paper presents a seed finding method for region growing segmentation approach using color channel energy in image regions. Instead of using the RGB system separated for each pixel, the proposal uses the energy on each color channel to improve the range of the possible values, then creates a more specific seed to detail different regions. Region size used to calculate energy was adjusted to verify the proposed method. Images used were real wound photos, taken from patients undergoing treatment at the university hospital. Results showed that energy on regions presents enough information to segment, leading to a high percentage of matching with experts marks.
{"title":"Color energy as a seed descriptor for image segmentation with region growing algorithms on skin wound images","authors":"J. L. Seixas, Sylvio Barbon Junior, C. Siqueira, I. Dias, Andre Giovanni Castaldin, A. S. Felinto","doi":"10.1109/HealthCom.2014.7001874","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001874","url":null,"abstract":"This paper presents a seed finding method for region growing segmentation approach using color channel energy in image regions. Instead of using the RGB system separated for each pixel, the proposal uses the energy on each color channel to improve the range of the possible values, then creates a more specific seed to detail different regions. Region size used to calculate energy was adjusted to verify the proposed method. Images used were real wound photos, taken from patients undergoing treatment at the university hospital. Results showed that energy on regions presents enough information to segment, leading to a high percentage of matching with experts marks.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116568722","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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