3236 福祉施設における園芸活動システムの構築

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This paper proposes that evolution system using were identified by using a neural network in order to predict the nursing home resident's Quality of Life from Horticultural Activity Program. These systems compose three systems. First, personal stress management system relationships between the personal parameter engaged in and the outputs of physiological parameter. Stress monitor system relationships between the target personal stress relief degree and the outputs of physiological parameter. Last, horticultural activities program support system 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 is needed to achieve the aim of developing a physiological response feedback control system for stress management. The system approach to identification building of the evaluation technique of evidence based practice for the stress relief management system by the gardening activities. When the people were engaged gardening activities personal data, behavior data and horticultural activities program contents data examine 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.
一般社団法人日本機械学会の論文
2003-08-05

3236 福祉施設における園芸活動システムの構築

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