毕业设计（论文）手机睡眠监测系统的实现与设计.docxVIP

手机睡眠监测系统的实现与设计摘 要当下人们对身体健康、绿色生活日益重视，监测身体健康方面的需求市场也会随之增加。随着现今移动智能手机的普及，利用智能手机监测身体健康成为研究热点。当前的睡眠监测过程多在医院里进行，它们通常采用多导睡眠图（PSG）进行测试。这会耗费大量的时间与金钱，也给人们造成许多不便。本文基于智能手机实现睡眠监测，其目标是通过监测人们的睡眠过程分析其睡眠质量。首先，根据匹兹堡睡眠质量指数（Pittsburgh sleep quality index, PSQI）确定影响人们睡眠质量的主要因素，分别是声音、温度和光照。其中，声音又是最为关键的因素。其次，系统通过手机内置设备采样上述三种因素的信号值并对采样数据进行处理。对于声音信号，本文提出基于流数据的分贝值算法。该算法可以对采样数据边录音边处理，减少了冗余数据；对于温度系统，本文提出基于温度值的敏感度算法，解决了手机内嵌传感器的不稳定性而导致的监测值的差异，增加了系统的稳定性；针对光照信号，本文提出基于光照值的区间幅度算法，能够有效地将监测值进行区分，避免了使用手机来存储大量监测值。通过监测周围同学、老师以及亲人睡眠时的数据，验证了该系统的准确性。该系统打破了传统上时间与空间的约束。更为重要的是，它采用非接触式方式进行监测，方便用户使用。 【关键词】 Android系统；睡眠监测；传感器The Design and Realization of the Sleep Monitoring System Based on Mobile phoneAbstractNowadays, people pay more attention to health and green living. And the needs of the healthy market is increasing. With the popularity of smart phones, using smartphones to monitor the health become a hot topic. People choose the hospital to monitor their sleep by PSG. It will spend a lot of time and money, but also caused a lot of inconvenience to people. This paper use phone to monitor the sleep, and its goal is to analyze the quality of sleep by doing this. First, determining the main factors according to the Pittsburgh Sleep Quality Index (PSQI) which affect peoples quality of sleep, and they are sound, temperature and light. The sound is the most critical factor among them. Then system collect and handle three kinds of data which mentioned in the above paper by equipment embedded in the phone. For sound signal, the system put forward the decibel value algorithm based on the data stream. The algorithm can handle sampling data when record data, so it reduced redundant data. For temperature system, the system proposed sensitivity algorithm to handle out the problem that different result may appeared because of the unstable sensor. For light signal, the system proposed amplitude value algorithm and it can effectively differentiate between monitoring values without large data stored. This paper verified the