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Systems Identification of Horticultural Activities in Nursing Home

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  033060,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.13851) @2003
Authors:   Norio Hayashi, Katsusuke Murakami, Haruhiko Murase
Keywords:   Evidence Based Practice, Horticultural Activity, Quality of Life, Near Infrared Sensibility, Secretory Immuno-GlobulineA

This paper proposes that evolution systems used be identified by using a neural network in order to predict the nursing home residents Quality of Life from Horticultural Activity Program. This consists of three systems: personal stress management system looks at relationships between the personal parameter engaged in and the outputs of physiological parameter; stress monitor system considers relationships between the target personal stress relief degree and the outputs of physiological parameter; horticultural activities program support system considers relationships between horticultural activities program contents parameter and the outputs of the target personal stress relief degree. The neural network model can be utilized to accomplish the noninvasive measurement of Physiological parameter needed to achieve the aim of developing a physiological response feedback control system for stress management. A system approach to identification building of the evaluation technique of evidence based practice for the stress relief management system by the gardening activities was used. Personal data, behavior data and horticultural activities program contents data of people who were engaged in gardening activities were examined in relation with the amount of change of S-IgA in Saliva and Near Infrared Spectroscopy in cerebrum. The results that Physiological change can investigate stress index parameters, system identification was examined by neural network. And, personal parameter, behavioral data and horticultural activities program contents data can examine psychological and physical stress relief by gardening activities. So, the system identification which a neural network was used for was done to verify building of the evaluation technique of the stress management due to the gardening activities.

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