检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:吴永利 潘化平 冯慧 付娟娟 倪淼淼 吴阳 Wu Yongli;Pan Huaping;Feng Hui;Fu Juanjuan;Ni Miaomiao;Wu Yang(Rehabilitation Medicine Center,Jiangning Hospital Affiliated to Nanjing Medical University,Nanjing 211100,China;Department of Biostatistics,Nanjing Medical University,Nanjing 211002,China;Institute of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211008,China)
机构地区:[1]南京医科大学附属江宁医院康复医学中心,南京211100 [2]南京医科大学生物统计系,南京211002 [3]南京航空航天大学机电学院,南京211008
出 处:《中华生物医学工程杂志》2024年第5期355-361,共7页Chinese Journal of Biomedical Engineering
基 金:江苏省重点研发计划(社会发展)项目(BE2021618);江苏大学临床医学科技发展基金项目(JLY2021156);南京医科大学科技发展基金项目(NMUB2020164);南京市卫生科技发展专项资金医学重点科技发展项目(ZKX23062)
摘 要:评估惯性测量单元(IMU)传感器在监测呼吸周期的准确性和可行性。通过IMU传感器对20名健康志愿者进行了5分钟的腹壁运动监测, 经过滤波处理的加速度数据转化为波形图, 从中提取波峰和波谷以计算呼吸周期。理想轴与对照轴的数据进行比较及其误差分析、相关性分析、线性回归分析、Bland-Altman分析。研究结果显示, 本研究所采用的算法能够在1698个呼吸周期样本中准确识别呼吸周期, 平均绝对误差为0.14 s/呼吸周期, 相关系数高于0.86, Bland-Altman分析的平均差异为0.01, 证明了IMU传感器在监测呼吸周期方面的高度可靠性, 为开发成本效益高、便携、实时且稳定的呼吸监测系统提供了新的研究方向和方法论。This study aimed to evaluate the accuracy and feasibility of Inertial Measurement Unit(IMU)sensors in monitoring respiratory cycles.The IMU sensors were used to monitor the abdominal wall movement of 20 healthy volunteers for 5 minutes.The collected acceleration data were processed through filtering algorithms and transformed into waveform graphs,from which peaks and troughs were extracted to calculate the respiratory cycles.The data from the ideal and control axes were compared,and their errors were analyzed,along with correlation analysis,linear regression analysis,and Bland-Altman analysis.The results showed that the algorithm used in this study could accurately identify respiratory cycles in 1698 samples,with an average absolute error of 0.14 seconds per respiratory cycle,a correlation coefficient greater than 0.86,and an average difference of 0.01 in Bland-Altman analysis.This demonstrates the high reliability of IMU sensors in monitoring respiratory cycles and provides a new direction and methodology for developing cost-effective,portable,real-time,and stable respiratory monitoring systems.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7