基于声音采集方案的睡眠呼吸监测系统设计

睡眠-呼吸暂停综合症危及人体呼吸睡眠质量，影响人体血液氧含量，加重人体大脑、肌肉等组织缺氧风险。临床上，传统呼吸暂停综合征治疗中，由于时间和场地限制，医生往往只能根据病人或其家属口述判断病情，无法对患者的呼吸状况及治疗方案效果做出直观的评价。为了方便记录患者睡眠呼吸状况，提出了一种基于声音采集方案的睡眠呼吸监测系统,以驻极体式声音传感器为采样前端，结合STM32平台和Fatfs文件系统实现呼吸声音的采集和存储，采用阈值分割法借助Matlab进行数据处理。结果表明，本系统可实现对监测数据的存储、读取、分析和波形显示。该系统便于使用、精度高、工作稳定可靠，可直观的反映出病人睡眠呼吸状况，呼吸频率计算值与实际值误差在10%以内，具有较高的临床应用价值。

Design of sleep monitoring system based on sound acquisition scheme

sleep apnea syndrome damage the quality of human sleeping.It affect the body''s blood oxygen content, and increase the anoxia risk of human brain, muscle and other organizations.In the traditional treatment,due to time and venue constraints,,doctors often only according to the patient or his family to judge the disease condition,can not make an intuitive evaluation on the patient''s condition and treatment program.In order to facilitate the recording of the patient''s sleep and respiratory status, we proposed.a sleep breathing monitoring system based on the sound collection program.The electret sound sensor is a sampling element.Combined with STM32 platform and Fatfs file system to achieve breathing sound collection and storage.Using threshold segmentation method and Matlab for data processing.The results show that,the system can realize the storage, reading, analysis and waveform display of the monitoring data.The system is easy to use, high precision, stable and reliable, It can reflect the patient''s sleep breathing, the anoxia is less than 10%, The system show a high clinical value.