基于压电陶瓷的睡眠信息检测方法  

Detection method of sleep information based on piezoceramic

作　　者：赵林 彭敏 杨翔宇 周清峰[1] Zhao Lin;Peng Min;Yang Xiangyu;Zhou Qingfeng(School of Computer and Information,Hefei University of Technology,Hefei 230601,China)

机构地区：[1]合肥工业大学计算机与信息学院

出　　处：《仪器仪表学报》2018年第7期245-252,共8页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(61471156,61601164);广东省科技规划(2016B010108002)项目资助

摘　　要：检测睡眠状态下呼吸率、心跳率和翻身情况等信息有助于疾病预防和健康管理。设计了基于压电陶瓷的非接触式多通道睡眠信息检测系统;通过嵌入床垫的多个压电陶瓷传感器感知人体微小震动引起的压力变化,基于区域短时能量分布的体动姿态识别算法和自回归参数模型功率谱估计计算呼吸率;将胸腔振动位移信号转化为加速度信号以分离心跳信号,采用快速集合经验模式分解算法和自适应特征波定位算法计算心跳率。实验结果表明,该方法呼吸率平均误差小于3%,心跳率平均误差小于5%。Detection of the physiological information（ respiratory rate,heartbeat rate and turn over information,etc.） during sleep can help prevent disease and manage health. A non-contact piezoelectric ceramic multi-channel sleep information detection system is designed in this study. Piezoelectric ceramic sensors embedded in the mattress are utilized to detect pressure changes caused by slight vibration of human body. The regional short time energy distribution for body movement posture recognition algorithm and autoregressive parameter model power spectrum estimation for calculating the respiration rate algorithm are achieved. The vibration displacement signals of chest are transformed into acceleration signals separation of heartbeat signal. The quick ensemble empirical mode decomposition algorithm and adaptive characteristic wave localization algorithm are applied to calculate the heartbeat rate. Experimental results show that the average error of respiratory rate and heartbeat rate is less than 3% and 5%,respectively.

关 键 词：压电陶瓷 睡眠信息检测 心冲击描记图 呼吸波 信号处理 

分 类 号：TH776[机械工程—仪器科学与技术] TP391.4[机械工程—精密仪器及机械]