4 June 2011 Smart health management technology and its applications
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Abstract
As a simple observation of the world, it is composed of human beings, artifacts, and natural environment. As all of their healths are issues like expansion of healthy aging, low maintenance cost, and low energy consumption the notion of health management can be extended to be applicable to all the entities. In this article, health management technology is proposed as a general solution framework. Its important aspect is cyclic evolution based on causality which illustrates conditions of target systems. The causality can be used as problem-solving knowledge, which is composed of feature attributes extracted from sensory data and intermediate characteristics. The causality should evolve to be updated according to sophistication of sensing and control mechanisms. It also provides the important nature of transparency to humans and machines bidirectionally, which enhances human-machine collaboration. Besides the idea of health management technology, the applications of human health, manufacturing, and energy consumption are also introduced and discussed. All applications were realized by multiple sensory networking to require multivariate time series analysis. Some experiments were conducted to investigate the performance of the proposed method.
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Hiroshi Nakajima, "Smart health management technology and its applications", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580X (4 June 2011); doi: 10.1117/12.883736; https://doi.org/10.1117/12.883736
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KEYWORDS
Manufacturing

Sensors

Blood pressure

Data acquisition

Feature extraction

Environmental sensing

Heart

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