睡眠呼吸信号的非接触式提取与检测
首发时间:2018-02-12
摘要:睡眠中的呼吸信号可以反映出人体的许多重要信息,在病人监护和睡眠质量评估方面有着重要的应用。为降低呼吸信号采集对病人正常休息的影响,本文设计实现了一种对于睡眠呼吸信号的非接触式提取与检测方法。本方法采用非接触式测量方式,通过测量床垫中传导的呼吸振动信号,对呼吸信号进行测量。由于采集得到的信号具有衰减大、噪声高的特点,需要进行处理。为此,本文基于小波分解与去噪的原理,通过串联多次小波变换实现对于睡眠时呼吸信号的去噪与提取。仿真与实验表明,本方法提取效果较好,提取结果可以正确反映病人的呼吸频率等生理指标。
关键词: 计算机技术 睡眠 呼吸信号 非接触测量 小波分解 信号去噪
For information in English, please click here
Non-connect Extraction and Measurement of the Sleeping Respiratory Signal
Abstract:The sleeping respiratory signal can reflect a lot of important information of human health, which has important applications in patient monitoring and the sleeping quality evaluation. In this paper, to reduce the negative effects of the signal acquisition to the patients, a non-connect extraction and measurement method of the sleeping respiratory signal was put forward. In this method, the sleeping respiratory signal was acquired via a non-connected method by measuring the respiratory signal conducted in the mattress. Since the acquired signal has large attenuation and high noise, a signal denoising and extraction method based on wavelet analysis algorithm was put forward. Through the cascade of multiple levels of wavelet analysis, the sleeping respiratory signal was denoised and extracted. Examples on the signals of author points out that this method can extract the sleeping respiratory signal correctly, the extraction results can reflect the physiological indexes such as the respiratory frequency.
Keywords: Computer science Sleeping Respiratory signal Non-connect extraction Wavelet analysis Signal denoising
引用
No.****
同行评议
共计0人参与
勘误表
睡眠呼吸信号的非接触式提取与检测
评论
全部评论0/1000