北京生物医学工程

睡眠障碍的手机监测方法研究

Investigation on Method of Using Mobile Phone to Monitor Obstructive Sleep Apnea

作者：王昊刘静

单位：中国科学院理化技术研究所（北京100190）

关键词：阻塞性呼吸睡眠障碍(OSA)；手机；Windows Mobile；Waveform Audio API

分类号：

出版年·卷·期（页码）：2010·29·3（270-277）

摘要：

阻塞性呼吸睡眠障碍（OSA）的监护及诊断因过于复杂而主要限于在医院进行，大量就医已造成医疗机构压力增大。为简化操作、实现对OSA患者的日常监护和初步诊断，本文阐述了一种基于手机的睡眠监测和评估方法。通过Visual Studio 2008下的程序开发，实现了手机采集鼾声信号的功能，并在MatLab环境下，对音频信号进行初步处理，定位鼾声信号以及分析患者健康状况。通过计算机模拟鼾声信号的实验表明，该方法较好地实现了上述功能，对异常鼾声信号的诊断结果较为准确。本文为家庭化低成本呼吸睡眠障碍监测提供了重要且现实的技术途径。

Currently,monitoring and diagnostics on obstructive sleep apnea(OSA) are usually conducted in a hospital due to their operational complexity.However,with the increasing acquaintances on the disease among patients,the huge number of hospitalization causes an ever heavy burden on medical institutions.To simplify the operation and achieve daily check for OSA patients,here we described a sleep monitoring and assessment strategy based on mobile phone.The software thus developed under Visual Studion 2008 environment allows to acquire snoring signal,process the data via computer and thus interpret and diagnose the patient’s health status.Through simulated experiment,it was demonstrated that the mobile phone based sleep monitoring method was a promising way to diagnose accurately on abnormal snoring signal.This study provides a significant and realistic technical approach for family use low cost OSA diagnostics.

参考文献：

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