基于智能算法睡眠呼吸暂停监测系统设计

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。

Design of diagnostic system of sleep apnea syndrome based on intelligent algorithm

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.