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Research On Sleep Quality Evaluation Of The Elderly

Posted on:2020-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y M XuFull Text:PDF
GTID:2517306221492794Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Sleep is the embodiment of human biological rhythm,which is very important for maintaining people's normal physical and mental health.Especially for the elderly,the sleep problem is more prominent,and most elderly people are faced with a feeling of poor sleep quality.Relevant research indicates that 60% of the elderly have sleep disorders.Long-term sleep disorders will not only reduce the immunity of the elderly,but also increase the risk of various diseases,seriously affecting the health and quality of the life.Therefore,how to evaluate the quality of sleep in the elderly,to achieve personalized sleep care,and thus improve the sleep quality is an urgent problem.At present,the evaluation of the sleep quality by the old-age care institutions is basically obtained by subjective assessment scales.There are few sleep observation indicators,and subjective evaluation is mainly performed by nursing staff.These problems have led to the inability of the old-age care institutions to reasonably evaluate the quality of sleep,and to diagnose sleep disorders such as insomnia and sleep apnea syndrome with poor sleep quality,thus failing to improve the quality of sleep in each elderly through personalized care Therefore,how to reasonably assess the sleep quality of the elderly is getting more and more attention from the old-age care institutions.How to achieve accurate sleep care and improve the sleep of the elderly needs to be solved.In this paper,the elderly in Jinan ShunX nursing home is taken as the research object.Based on the sleep data,the Delphi method,AHP-entropy method and graph convolutional neural network are used to realize the comprehensive evaluation of sleep quality,the diagnosis of sleep disorders,and personalized sleep care,so as to improve the sleep quality of the elderly.The specific main work is as follows:Firstly,establishing a quality evaluation index for the elderly in Jinan ShunX aged care home.Through long-term observation of the elderly sleep,it is found that heart rate variability as a predictive index is of great significance in early warning of dangerous situations such as sudden cardiac death.Therefore,heart rate variability is initially included in the evaluation index of sleep quality of the elderly;Later,the heart ratevariability was established as an index to evaluate the sleep quality through literature analysis and expert interviews.Based on the related theories of neurophysiology and sleep physiology,combined with the sleep characteristics of the elderly,the evaluation index system of sleep quality of the elderly was established by Delphi method.It includes primary and secondary indicators of vital signs,sleep structure and sleep behavior.Secondly,comprehensively evaluating the sleep quality of the elderly in ShunX aged care home.The analytic hierarchy process and entropy method were used to obtain the comprehensive weights of each sleep index based on the expert questionnaire and sleep index data.Then,the scoring rules of sleep index were formulated,and the sleep quality score of each elderly person was calculated.The higher the sleep score,the better the quality of sleep,and the lower the sleep score,the worse the quality of sleep.Next,a sleep convolution neural network is used to diagnose sleep disorders in the elderly.Through the training of elderly sleep sample data,a diagnostic model of sleep disorder in the elderly based on graph convolutional neural network was obtained.The model input is the sleep index data of the elderly,and the output is sleep disorders such as insomnia and sleep apnea syndrome.The sleep disorder of the elderly with poor sleep quality in the nursing home is accurately judged.Finally,proposing suggestions to improve the sleep quality of the elderly.Graded sleep care is performed on the elderly according to the results of sleep quality evaluation.According to the diagnosis of sleep disorders,the sleep problems are analyzed.On the basis of graded care,personalized sleep nursing advice is proposed for elderly people with different sleep disorders from the perspective of nursing homes and care workers.Through the comprehensive evaluation of the sleep quality of the elderly in Jinan ShunX nursing home,the diagnosis of sleep disorders and the personalized nursing of the elderly with different sleep conditions,it is beneficial for the nursing home to improve the sleep quality of the elderly and the level of sleep care,protect the health and truly realize the wisdom of old-age care.
Keywords/Search Tags:Sleep Quality Evaluation of the Elderly, Heart Rate Variability, Diagnosis of Sleep Disorder, Graph Convolutional Neural Network
PDF Full Text Request
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