An Intelligent Patient Monitoring System for Home Application

Zhang, Zaosheng; Huang, Tinglei

doi:10.1109/wgec.2009.77

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…These systems (home surveillance systems, intelligent homes, etc., see e.g. [1], [2]) aim to monitor sick persons, possibly as part of the medical attendance.…”

Section: Introductionmentioning

confidence: 99%

Anytime sport activity risk level calculation using HOSVD based hierarchical fuzzy models

Tóth-Laufer

Várkonyi-Kóczy

2013

2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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In this paper a fuzzy logic-based risk calculation model is introduced, which is used to assess the risk level of sport activity in real-time. In these kinds of systems the computational complexity is a key factor, because the sufficiently accurate results should be available in time. The aim is to find the balance between the computational complexity and the accuracy. Anytime techniques are well-suited for these types of problems, because the combination of the soft computing and anytime algorithms can cope with the dynamically changing and possible insufficient amount of resources and reaction time and it is able to adaptively work with the available information which is usually imperfect or even missing. In this study the Singular Value Decomposition (SVD)-based algorithm is used to reduce the basic fuzzy model complexity.

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“…These systems (home surveillance systems, intelligent homes, etc., see e.g. [1], [2]) aim to monitor sick persons, possibly as part of the medical attendance.…”

Section: Introductionmentioning

confidence: 99%