CAJ | 학술논문

目的：设计一种防止睡眠窒息的实时预警系统,能够监测睡眠窒息的发生,并根据预测实现报警,降低睡眠窒息现象的发生。方法：把数据库技术与数据挖掘技术结合起来,数据终端可以针对患者敏感数据进行数据挖掘分析,充分利用Logic和BP神经网络数据分析的优势,量化衡量患者伤情变化,并实现自动分型。结果：本系统实现了睡眠窒息状况的智能分析,并针对患者进行了阶段预测,将风险较大的预测进行报警,从而降低睡眠中窒息现象的发生概率;同时能够针对睡眠窒息现象进行分级。结论：该系统具有诊断率高,操作便捷的优点,为睡眠状态下其它生理体征的监测和预测提供了借鉴。
목적：설계일충방지수면질식적실시예경계통,능구감측수면질식적발생,병근거예측실현보경,강저수면질식현상적발생。방법：파수거고기술여수거알굴기술결합기래,수거종단가이침대환자민감수거진행수거알굴분석,충분이용Logic화BP신경망락수거분석적우세,양화형량환자상정변화,병실현자동분형。결과：본계통실현료수면질식상황적지능분석,병침대환자진행료계단예측,장풍험교대적예측진행보경,종이강저수면중질식현상적발생개솔;동시능구침대수면질식현상진행분급。결론：해계통구유진단솔고,조작편첩적우점,위수면상태하기타생리체정적감측화예측제공료차감。
Objective：To design a real-time warning system to monitor the occurrence of sleep apnea in early,which is aimed to alarm and reduce the incidence of sleep apnea.Methods：Combined database with data mining,sensitive data of terminal patients can be analyzed by data mining of Logic model and BP neural network,which can achieve quantitative measurement of changes in patient injury and automatic classification.Results：The system achieves intelligent calssification of sleep apnea status and forecast for the stage patients,the risk of large forecast alarm,sleep apnea to reduce the probability of occurrence.Conclusion：The system has the advantages of diagnostic rate,convenient operation,which gives great advices to other physiological signs.