CAJ | 학술논문

针对当前敬老院老龄人的活动监控系统缺乏低成本的健康状态预测，利用半有源RFID三层监控跟踪系统获得的老龄人活动数据，统计并分析得出标示健康的平均活动次数，根据活动次数与健康的自然关系，设计了一个表征健康状态的指数模型。使用8-9-1型的三层BP网络，通过数据预处理和训练来预测老龄人的健康指数。实验结果表明该模型计算和预测结果与医生的诊断能基本相符，误报漏报率较低。该模型为老龄人的健康状态预测、健康护理提供了一种低成本的决策支持，有效扩展了RFID的感知应用。
침대당전경로원노령인적활동감공계통결핍저성본적건강상태예측，이용반유원RFID삼층감공근종계통획득적노령인활동수거，통계병분석득출표시건강적평균활동차수，근거활동차수여건강적자연관계，설계료일개표정건강상태적지수모형。사용8-9-1형적삼층BP망락，통과수거예처리화훈련래예측노령인적건강지수。실험결과표명해모형계산화예측결과여의생적진단능기본상부，오보루보솔교저。해모형위노령인적건강상태예측、건강호리제공료일충저성본적결책지지，유효확전료RFID적감지응용。
Aiming at lack of prediction of the health status currently in the monitoring system for the old people’s activi-ties in gerocomium by low cost, by using of the data of the old people’s activities from the three-tier monitoring tracking system based on semi-active RFID which has been implemented, this article analyzes statistically and gets hold of the aver-age number of activities which marks on health status. According to the natural relations between the number of activities and healthy status, a model of the health index and the BP neural network of three layer 8-9-1 type are designed to fore-cast the health index of the elderly after it has been training with the processing data. Experimental results show that the model calculation and prediction results can basically agree with the doctor’s diagnosis, false positives and non-response rates are low. The model provides a low-cost decision support for the nursing and the prediction of elderly health status, and extends effectively the RFID application for perception.