Getting-up process after sleep would typically involve the non-uniform transition with temperature reduction, increased activity level, and change in clothing insulation, which is rarely explored in existing research. Due to the decline of physiological adaptability of the elderly, they may have sudden changes in physiology under transient environment. It is necessary to develop prediction models for the elderly to prevent or reduce health risks. The aim of this research is to predict the thermo-physiology and cardiovascular responses to non-uniform and transient thermal environments during getting-up process, a 4-node thermoregulatory-cardiovascular predicted model was established based on Gagge's thermoregulatory and heart rate model in International Organization for Standardization. Experimental data of twenty-six Chinese elderly subjects aged over 60 at a caring home in Chongqing both in winter and summer conditions was collected for validating. The results showed that the non-uniformity and dynamic states were 5.0–15.0 °C temperature differences between cover and bedroom. Core and overall skin temperatures decreased by 0.1–0.3 °C, while the heart rate increased by 5–10 %. Bare skin temperature decreased significantly by 0.2–1.0 °C. It implied that the process posed a potential risk to body cooling, local thermal discomfort, and cardiovascular health in the elderly, which was more severe in winter. The prediction result's error was below 6.0 %, which was more accurate by 6.0 %–18.0 % than that of typical models. This research can provide a reference for creating comfortable and healthy bedroom temperatures after sleeping for the elderly by intelligent air conditioning at residences and care homes.
Read full abstract