1. 河北工业大学机械工程学院
2. 河北省机器人感知与人机融合重点实验室
纸质出版:2025
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赵海文, 赵悦焜, 齐德瑄, 等. 基于无束缚压力传感器的睡姿实时监测系统[J]. 传感器与微系统, 2025,(3):120-124.
赵海文, 赵悦焜, 齐德瑄, 等. 基于无束缚压力传感器的睡姿实时监测系统[J]. 传感器与微系统, 2025,(3):120-124. DOI: 10.13873/J.1000-9787(2025)03-0120-05.
实时睡姿监测可用于睡姿改善和疾病预防。针对睡姿监测的实时性问题,设计了睡姿实时监测系统。基于自行研发的床单式柔性压力传感器进行数据采集,使用YOLOv5对预处理后得到的数据集进行训练和测试,通过LabVIEW和Python通信接口,搭建实时监测系统,调用训练好的神经网络模型,并将睡姿识别结果显示在LabVIEW前端页面中。实验结果表明:该实时监测系统测试集识别准确率达到了99.7%
整晚睡眠实验准确率为96.2%
从开始采样到识别结果显示到前端页面的时间不超过70 ms
综合高准确率和高处理速度两大优点,且在睡姿监测的基础上增加了对于体动的监测,为建立功能完善的智能无人护理系统奠定基础。
吴其皓,廖鹏飞,茅寅,戴隆超.高灵敏度电容式柔性压力传感器的设计与优化[J].传感器与微系统,2023(04).
朱育琳,蒋林,王欣,刘帅.可重构结构下卷积神经网络加速研究与设计[J].传感器与微系统,2023(04).
赵海文,王佳阔,齐德瑄,郭士杰.基于压力感知的坐卧姿势识别方法研究[J].传感器与微系统,2023(01).
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Raphaelle Winsky-Sommerer,Paula de Oliveira,Sally Loomis,Keith Wafford,Derk-Jan Dijk,Gary Gilmour.Disturbances of sleep quality, timing and structure and their relationship with other neuropsychiatric symptoms in Alzheimer’s disease and schizophrenia: insights from studies in patient populations and animal models[J].Neuroscience and Biobehavioral Reviews,2018.
Yu Enokibori,Kenji Mase.Data Augmentation to Build High Performance DNN for In-bed Posture Classification[J].Journal of Information Processing,2018.
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