• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >A program based on a 'selective' least-squares method for respiratory mechanics monitoring in ventilated patients.
【24h】

A program based on a 'selective' least-squares method for respiratory mechanics monitoring in ventilated patients.

机译：一个基于“选择性”最小二乘法的程序，用于对通气患者进行呼吸力学监测。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes a program for continuous estimation of respiratory mechanics parameters in ventilated patients. This program can be used with any ventilator providing airway pressure and flow signals without additional equipment. Overall breathing resistance, dynamic elastance (E) and positive end expiratory pressure (P(0)) are periodically estimated by multiple linear regression on selected parts of breathing cycles. Experimental validation together with justification of the selection procedure are based on signals obtained while ventilating a lung mechanical analogue with various intensive care ventilators. Clinical validity has been tested on 12 ventilated patients. The quality of estimation has been assessed by mean square difference between measured and reconstituted pressure (MSE), coefficient of determination (R(2)) and the condition number (a confidence index), and by comparison of E and P(0) with corresponding static values. The high R(2) and the low MSE obtained on most clinical cycles indicate that selected parts of cycles obey closely the model underlying parameter estimation. Agreement between static and dynamic parameters demonstrates the clinical validity of our program.
机译：本文提出了一个程序，用于连续估计通气患者的呼吸力学参数。该程序可与提供呼吸道压力和流量信号的任何呼吸机一起使用，而无需其他设备。总体呼吸阻力，动态弹性（E）和呼气末正压（P（0））通过对呼吸周期的选定部分进行多元线性回归来定期估算。实验验证以及选择程序的合理性基于在使用各种重症监护呼吸机对肺部机械类似物进行呼吸时获得的信号。已对12名通气患者进行了临床有效性测试。通过测量和重构压力（MSE）之间的均方差，确定系数（R（2））和条件数（置信指数）以及通过将E和P（0）与相应的静态值。在大多数临床周期中获得的高R（2）和低MSE表明，周期的选定部分严格遵循参数估计基础的模型。静态和动态参数之间的一致性证明了我们程序的临床有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号