【摘要】 针对目前睡眠呼吸暂停综合症(SAS)的治疗只能借助多导睡眠监测仪(PSG)监测和专业医师的诊断的现状,开展智能、便捷、无干扰监测睡眠呼吸暂停综合症系统的研究。该系统综合麦克风阵列、光纤和柔性压力阵列多种传感器采集人体多种生理信息,为SAS提供一种无扰动检测方法。基于人体鼾声强度、心率、呼吸率、睡姿等生理信息,建立多信息交互的系统模型,评判人体的睡眠风险指数,对SAS进行量化分级,并生成基于大数据分析的个性化报告。系统提供丰富可视化界面,显示人体生理信息及分析结果;不干扰人体自然睡眠,可以在家庭环境中长期跟踪记录个人鼾症变化;使用简单、便捷,促进了智慧医疗的家庭应用。更多还原

【Abstract】 At present,the treatment of sleep apnea syndrome(SAS) can only rely on the monitoring of polysomnography(PSG) and the diagnosis of professional doctors.In view of this condition,the research on intelligent,convenient and non-interference monitoring of sleep apnea syndrome is carried out.This system integrates microphone array,optical fiber and flexible pressure array sensors to collect multiple kinds of physiological information of human body,and provides a non-disturbance detection method for SAS.Based on physiological information such as snoring intensity,heart rate,breathing rate and sleeping posture,a systematic model of multi-information interaction is established to evaluate human sleep risk index,quantify and classify apnea syndrome,and generate personalized reports based on big data analysis.The system provides a rich visual interface to display human physiological information and analysis results; does not interfere with human natural sleep; it can long term track and record individual snoring changes in home environment.It is simple and convenient to use,and promotes the home application of intelligent medical.更多还原