基于测量呼吸声音监护睡眠状态的研究

摘要

In this work, a method for monitoring sleeping conditions by breath sound measurement is proposed. Our aim is to develop a high performance system to classify sleep states into many stages only based on breath sound. Sub-jects were recorded in home/group house using bluetooth breath sound sensor. This breath sound signal analysis method can classify sleep states. The experiment testify the effectiveness of the method.%在本文中，提出了一种通过测量整晚呼吸声音监护睡眠质量的方法。通过本方法，仅通过采集呼吸声音，通过分析成功高效的将睡眠分了几个阶段。实验对象的呼吸声音通过蓝牙声音传感器把声音录下来，通过设备传输到服务器进行解析，把声音在时域和频域提取特征值，能够将整晚的睡眠状态进行分类，实验证明了本方法的有效性。