基于信号捕获算法的非入侵式柔性压感睡眠呼吸检测护理系统  

A Non-invasive Flexible Pressure Sensing Sleep Breathing Detection and Nursing System Based on Signal Capture Algorithm

作　　者：许骞月 XU Qianyue(Tangshan Hongci Hospital,Tangshan 063020,China)

机构地区：[1]唐山弘慈医院,河北唐山063020

出　　处：《微型电脑应用》2024年第7期195-199,共5页Microcomputer Applications

摘　　要：针对睡眠呼吸监测的实际需求,设计一款非侵入式的柔性压感睡眠呼吸检测系统。该系统尤其适用于医院、养老院等需要特殊护理的群体。该系统硬件能够利用高精度传感器在人体睡眠时捕捉细微的呼吸信号变化,并进行噪声消除和去趋势预处理。通过算法识别呼吸信号的周期和幅度特征,从而精准判断呼吸暂停的情况。该系统提供移动端和PC端的呼吸信号波形监测服务,以便全面监测和分析睡眠数据。经过实际应用验证,该系统的检测结果与实际观察结果高度一致,且在同类系统中表现出卓越的检测准确度。A non-invasive flexible pressure sensing sleep breathing detection system is designed to meet the practical needs of sleep breathing monitoring.This system is particularly suitable for groups that require special care such as hospitals and nursing homes.The hardware of this system can use high-precision sensors to capture subtle changes in respiratory signals during human sleep,and perform noise cancellation and trend removal preprocessing.By using algorithms to identify the cycle and amplitude characteristics of respiratory signals,we can accurately determine the situation of respiratory pauses.This system provides respiratory signal waveform monitoring services for both mobile and PC devices,in order to comprehensively monitor and analyze sleep data.After practical application,the detection results of the system are highly consistent with the actual observation results,and show excellent detection accuracy in similar systems.

关 键 词：呼吸检测 ADS12000 加速传感器 信号捕捉 准确率 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]