Objective:To discuss the effect of sequential assist-control ventilation on cardio-pulmonary function and systemic inflammatory state of chronic pulmonary heart disease complicated with respiratory failure patients.Me...Objective:To discuss the effect of sequential assist-control ventilation on cardio-pulmonary function and systemic inflammatory state of chronic pulmonary heart disease complicated with respiratory failure patients.Method: A total of 90 cases of chronic pulmonary heart disease complicated with respiratory failure patients, who were treated in our hospital between May, 2012 and Feb., 2016, were selected, and were divided into study group (n=45) and control group (n=45) based on random number table. Patients in control group were given auxiliary - control ventilation. (A/C) treatment during the whole course, while patients in study group were given A/C+BiPAP treatment. Cardio-pulmonary function and serum inflammatory factor content difference was compared inboth groups before and after operation.Results: Before treatment, difference ofcardiac function indicator, ABG level and inflammatory factor content in both groups had no statistical significance. After treatment, cardiac function indicator (PASP, RVd) levels in both groups were lower than before treatment, and EFRV levels were higher than before treatment, and changes in study group were more obvious than that in control group;ABG indicator (PaO2) levels in both groups were higher than before treatment, and PaCO2 levels werelower than before treatment, and changes in study group were more obvious than that in control group;serum inflammatory factor (hs-CRP, IL-6, TNF-α) content in both groups was lower than before treatment, and changes in study group were more obvious than that in control group.Conclusion: sequential assist-control ventilation could optimize the cardio-pulmonary function of chronic pulmonary heart disease complicated with respiratory failure patients and reduce the systemic inflammatory response.展开更多
针对复杂地理实体建模中,多模态点云数据融合处理耗时、精度偏差较大等问题,本文以南通大剧院异形建筑三维建模为例,提出一种多模态控制点辅助约束的最近点迭代算法(Multimodal Control Point Assistant-Iterative Closest Point)对点...针对复杂地理实体建模中,多模态点云数据融合处理耗时、精度偏差较大等问题,本文以南通大剧院异形建筑三维建模为例,提出一种多模态控制点辅助约束的最近点迭代算法(Multimodal Control Point Assistant-Iterative Closest Point)对点云数据进行配准,该算法能够实现复杂地理实体多模态点云数据的精确配准。通过实验对比,结果表明,与传统ICP算法、SAC-IA算法、NDT算法相比,本文算法不但能够快速实现全局收敛,而且可以满足城市级三维建模精度要求。展开更多
文摘Objective:To discuss the effect of sequential assist-control ventilation on cardio-pulmonary function and systemic inflammatory state of chronic pulmonary heart disease complicated with respiratory failure patients.Method: A total of 90 cases of chronic pulmonary heart disease complicated with respiratory failure patients, who were treated in our hospital between May, 2012 and Feb., 2016, were selected, and were divided into study group (n=45) and control group (n=45) based on random number table. Patients in control group were given auxiliary - control ventilation. (A/C) treatment during the whole course, while patients in study group were given A/C+BiPAP treatment. Cardio-pulmonary function and serum inflammatory factor content difference was compared inboth groups before and after operation.Results: Before treatment, difference ofcardiac function indicator, ABG level and inflammatory factor content in both groups had no statistical significance. After treatment, cardiac function indicator (PASP, RVd) levels in both groups were lower than before treatment, and EFRV levels were higher than before treatment, and changes in study group were more obvious than that in control group;ABG indicator (PaO2) levels in both groups were higher than before treatment, and PaCO2 levels werelower than before treatment, and changes in study group were more obvious than that in control group;serum inflammatory factor (hs-CRP, IL-6, TNF-α) content in both groups was lower than before treatment, and changes in study group were more obvious than that in control group.Conclusion: sequential assist-control ventilation could optimize the cardio-pulmonary function of chronic pulmonary heart disease complicated with respiratory failure patients and reduce the systemic inflammatory response.
文摘针对复杂地理实体建模中,多模态点云数据融合处理耗时、精度偏差较大等问题,本文以南通大剧院异形建筑三维建模为例,提出一种多模态控制点辅助约束的最近点迭代算法(Multimodal Control Point Assistant-Iterative Closest Point)对点云数据进行配准,该算法能够实现复杂地理实体多模态点云数据的精确配准。通过实验对比,结果表明,与传统ICP算法、SAC-IA算法、NDT算法相比,本文算法不但能够快速实现全局收敛,而且可以满足城市级三维建模精度要求。
