中国医疗设备2017，Vol.32Issue(6)：39-44,6.DOI:10.3969/j.issn.1674-1633.2017.06.011
基于生物电阻抗技术的睡眠姿势识别方法的探讨
Study on Sleep Posture Recognition Based on Bioelectrical Impedance Technology
摘要
Abstract
The effective monitoring of sleep posture provides a direct reference for diagnosis, prevention and treatment of some disease. This paper proposed a new method based on bioelectrical impedance technology for sleep posture recognition. To recognize sleeping posture, this method collected information of sleeping posture from the respiratory impedance signal using non-invasive, continuous bioelectrical impedance technology around the chest. The hardware part acquired human's respiratory signal through two channels multi-channel switch around the chest in real-time based on Agilent E4980A electrical impedance instrument. The software part was composed of Labview which acted as a real-time display and storage online system and the Matlab which could classify and recognize the algorithm offline. In this study, 19 volunteers were recruited to participate experiment for 4 cycles. All of the volunteers were separately perform normal breathing exercises in posture of supine position, left lateral position, right lateral position and prone position. Support vector machine (SVM) was used to recognize and classify these 4 kinds of postures according to the extraction of characteristic values. The results showed that the highest classification accuracy of test group could reach 94.6% by using SVM.关键词
生物电阻抗技术/呼吸信号/睡眠姿势识别/特征提取/支持向量机Key words
bioelectrical impedance technology/respiratory signal/sleeping posture recognition/feature extraction/support vector machine分类
医药卫生引用本文复制引用
许欢,张平..基于生物电阻抗技术的睡眠姿势识别方法的探讨[J].中国医疗设备,2017,32(6):39-44,6.基金项目
浙江省医学会医学工程学青年发展基金(2016-005). （2016-005）
