A web-based platform for biosignal visualization and annotation

Lourenço, André; Silva, Hugo Plácido da; Carreiras, Carlos; Alves, Ana Priscila; Fred, Ana

doi:10.1007/s11042-013-1397-9

Cited by 12 publications

(7 citation statements)

References 18 publications

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“…The "IoT-based Diabetes health big-data analysis engine" embedded in the health management platform patterns and analyzes the feature of large volume of much health information generated or detected by the external health management device. After this, it induces useful infor-mation or rules and provides reliable health management information for the user based on objective data and description [7].…”

Section: System Overviewmentioning

confidence: 99%

Analysis technique of a wearable IoT health information on the MAPHIS

Ko¹,

Kim²

2018

IJET

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Background/Objectives: As u-health becomes common that monitors body condition real time in the ubiquitous environment, people are increasingly interested in promoting their health using biometric information identified by various health equipment.Methods/Statistical analysis: the concept of digital health has emerged that encompasses the followings: u-health that is expected to improve efficiency in medical service and monitor patients’ condition with wireless communication through convergence of ICT and health care industry; smart health(s-health) that manages their own workout, calorie intake and sporting activities with their smart device; and, mobile health (m-health) that uses wearable and mobile devices as a means of healthcare.Findings: In this study, we aim to develop a health care platform that receives diabetes information generated from various IoT based on remote inputs, stores, analyzes, processes and provides visualized information. The purpose of this study is to develop and test IoT-based diabetes health big-data platform for diabetes mellitus patients. To achieve this goal, we suggest the development result of service and contents oriented “An IoT-based diabetes health big-data Offloading platform” that comprehensively manages healthcare products created in many IoT-based diabetes information to build a personal health management system. We also developed android 4.x-based application so that the health management service and contents provided by a third party can be checked with the client PC as well as health management service and contents offered by web-based client application and third party can be operated in the mobile environment such as smartphone or tablet.Improvements/Applications: The results of this study are verified by applying it to patients with diabetes or suspected cases. In order to increase the efficiency of real-time processing, we used off-loading technology to utilize big data related to diabetes generated from wearable IoT device. The results of this study will be used for telemedicine in two hospitals in Malaysia after various laboratory verification procedures.

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Section: System Overviewmentioning

confidence: 99%

Analysis technique of a wearable IoT health information on the MAPHIS

Ko¹,

Kim²

2018

IJET

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“…The underlying framework can be generalized for the development of software targeted at people with special needs; the main design principle for this approach was to enable tutors and professionals in the field to fully manipulate the overall contents and look-and-feel autonomously with little training or support. We will describe an application called myTroc@s.net, that takes advantage of the framework presented, but other examples of applications are also available at (Lourenço et al, 2013). Some experimental results with the platform are available in (da Silva et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Rapid Application Development to Create Proof-of-Concept Software Applications

Silva¹,

Silva²,

Gonçalves³

2014

Proceedings of the International Conference on Physiological Computing Systems

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Rapid application development are the best way to test prototypes by giving a solid performance for user's tests, while rapid application customization it is the best approach to easily test the user's needs, such as children with autism spectrum disorders. In this paper we present a framework of a platform designed with these concepts in mind. This platform is a standalone multimedia and rich content software, targeted at students with special needs, that allows to easily expand the functionalities and create proof-of-concept software applications.

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“…. 2.5 Visualização de um biosinal com o painel de anotações à esquerda e regiões anotadas destacadas em vermelho, extraído de [22]. .…”

Section: Lista De Figurasunclassified

“…Outros exemplos de trabalhos que realizam anotações em séries temporais são [33,36,22]. Pressly [33] desenvolveu um aplicativo distribuído para tablets e computadores chamado "TSPad".…”

Section: Anotaçõesunclassified

“…Ainda outro exemplo é o trabalho de Lourenço et al [22], que desenvolveram uma plataforma para anotação e visualização de biosinais (por exemplo, eletrocardiogramaver Figura 2.5). A ferramenta permite que usuários façam anotações manuais de séries temporais, importem anotações existentes em fontes externas e organizem as anotações em hierarquias a partir do uso de rótulos de nomes com barras (/).…”

Section: Anotaçõesunclassified

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Apoio ao estudo de correlações entre séries temporais baseadas em anotações semânticas

Batista¹,

Medeiros²

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Time series are used in several knowledge domains, such as economics, meteorology and agriculture. In many situations, scientists often associate annotations to series during their analysis. They have moreover to search and correlate many types of time series in order to conduct their research. This process is hampered not only by the heterogeneity among the series, but also by the search for relevant series to compute a given correlation. The predominant methods to search series are based either in keyword (annotation) matching or in pattern matching. They do not support looking for additional information not always directly associated to series. Given this scenario, this dissertation proposes T S 3 Annotation, a framework based on the use of semantic annotations to support the study of correlations among time series. The main contributions of this work are: (1) a time series semantic annotation model; (2) and the T S 3 Annotation a framework that allows experts to create semantic annotations and uses these annotations as the basis for the search. ix x ResumoSéries temporais são utilizadas em diversos domínios do conhecimento, por exemplo, economia, meteorologia e agricultura. Em várias situações, cientistas, muitas vezes, associam anotações a séries durante sua análise. Além disso, precisam buscar e correlacionar vários tipos de séries para estudar algum problema. Isto é dificultado não só pela heterogeneidade entre as séries, como também pela limitação dos mecanismos de busca por séries relevantes a uma correlação. As modalidades predominantes na busca por séries são baseadas ou em casamento de texto (anotações) ou em casamento de padrões. Não permitem buscas por séries que estejam relacionadas semanticamente. Diante deste cenário, esta dissertação propõe o T S 3 Annotation, um framework que usa anotações semânticas como base para permitir o estudo de correlações entre séries. As principais contribuições desta dissertação são: (1) um modelo de anotação semântica para séries temporais; (2) e o framework T S 3 Annotation que permite a especialistas anotar semanticamente séries, além de explorar o uso destas anotações como uma nova possibilidade na busca por séries temporais. xi xii AgradecimentosEu gostaria de agradecer à professora Claudia Bauzer Medeiros por toda paciência, suporte, oportunidade e aprendizado a mim concedidos.Agradeço também ao professor André Santanchè pela disponibilidade e apoio durante o desenvolvimento do trabalho.Eu gostaria de agradecer aos meus pais, Batista e Nide, ao meu irmão, Mateus e a toda minha família pelo suporte e por sempre acreditar em meu potencial, me ajudando em todas as dificuldades que encontrei até o momento.Eu gostaria de agradecer à Jacqueline Midlej por estar sempre ao meu lado, comemorando nossas vitórias e me apoiando nos momentos de tristeza.Agradeço aos membros do LIS pelas conversas, companheirismo e pelas reuniões que contribuíram para o aperfeiçoamento desta pesquisa.Agradeço a todos os meus amigos, em especial Anderson, Matheus, Ivo, Jaudete, Daniel, Jorge,...

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A web-based platform for biosignal visualization and annotation

Cited by 12 publications

References 18 publications

Analysis technique of a wearable IoT health information on the MAPHIS

Analysis technique of a wearable IoT health information on the MAPHIS

Rapid Application Development to Create Proof-of-Concept Software Applications

Apoio ao estudo de correlações entre séries temporais baseadas em anotações semânticas

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