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作 者:甘智高 岳克强[1] 李文钧[1] 潘成铭 Gan Zhigao;Yue Keqiang;Li Wenjun;Pan Chengming(School of Electronic Information,Hangzhou Dianzi University,Hangzhou 310018,China)
机构地区:[1]杭州电子科技大学电子信息学院,浙江杭州310018
出 处:《电子技术应用》2023年第10期124-129,共6页Application of Electronic Technique
基 金:浙江省公益计划项目(LGG22F010012)。
摘 要:阻塞型睡眠呼吸暂停综合征(Obstructive Sleep Apnea Hypopnea Syndrome,OSAHS)是一种常见的呼吸睡眠疾病,它会降低人们的睡眠质量,使人们产生疲惫感,更严重地会危害人们的身心健康。研究设计了一种基于ARM的OSAHS检测系统,系统以i.MX6ULL作为硬件主控,采用嵌入式Linux系统为软件平台,具有鼾声采集处理、检测分类、传输等功能,与云平台建立完整的OSAHS检测系统,并且通过与标准多导睡眠监测仪(PSG)设备对比检测效果达到83.9%,达到初筛的作用,具有较强的辅助诊断应用价值。Obstructive Sleep Apnea Hypopnea Syndrome(OSAHS)is a common respiratory sleep disease.It decreases the quality of people's sleep and causes fatigue,and more seriously,it harms people's physical and mental health.The study designed an ARM-based OSAHS detection system.The system uses i.MX6ULL as the hardware master control and the embedded Linux system as the software platform.It has functions such as snore collection and processing,detection and classification,transmission,etc.The system has established a complete OSAHS detection system with the cloud platform.By comparing with the standard polysomnography(PSG)device,the detection effect reaches 83.9%.It achieves the role of primary screening and has strong auxiliary diagnostic application value.
分 类 号:TN911.72[电子电信—通信与信息系统]
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