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A mobile multi-agent information system for ubiquitous fetal monitoring.

Su CJ, Chu TW - Int J Environ Res Public Health (2014)

Bottom Line: Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform-the Java Agent Development Environment (JADE).Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient's everyday activities and without restricting her mobility.The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

View Article: PubMed Central - PubMed

Affiliation: Department of Industrial Engineering & Management, Yuan Ze University, No. 135, Yuan-Tung Rd., Chung-Li City, Taoyuan County 320, Taiwan. iecjsu@saturn.yzu.edu.tw.

ABSTRACT
Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform-the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient's everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

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Illustrative example of key points extraction.
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Related In: Results  -  Collection

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ijerph-11-00600-f009: Illustrative example of key points extraction.

Mentions: Figure 9 provides an illustrative example to describe the key point extraction procedure. The green curve represents the heart rate while the blue curve denotes the uterine contraction. Two fitted curves are also plotted in red.


A mobile multi-agent information system for ubiquitous fetal monitoring.

Su CJ, Chu TW - Int J Environ Res Public Health (2014)

Illustrative example of key points extraction.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3924463&req=5

ijerph-11-00600-f009: Illustrative example of key points extraction.
Mentions: Figure 9 provides an illustrative example to describe the key point extraction procedure. The green curve represents the heart rate while the blue curve denotes the uterine contraction. Two fitted curves are also plotted in red.

Bottom Line: Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform-the Java Agent Development Environment (JADE).Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient's everyday activities and without restricting her mobility.The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

View Article: PubMed Central - PubMed

Affiliation: Department of Industrial Engineering & Management, Yuan Ze University, No. 135, Yuan-Tung Rd., Chung-Li City, Taoyuan County 320, Taiwan. iecjsu@saturn.yzu.edu.tw.

ABSTRACT
Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform-the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient's everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

Show MeSH