Objectives To assess the relationship between peak oxygen consumption （PVO2） and the ambulation distance in six-minute walk test （6MWT）among the healthy subjects. Methods The 51 healthy subjects were recruited for...Objectives To assess the relationship between peak oxygen consumption （PVO2） and the ambulation distance in six-minute walk test （6MWT）among the healthy subjects. Methods The 51 healthy subjects were recruited for the six-minute walk test. Data of pulmonary gas exchange breath by breath, such as VO2 , VCO2 were real-time measured with wireless remote sensing K4B2, so to study the relationship between peak oxygen uptake and the ambulation distance. Results It was noticed that there was a positive linear correlation between the ambulation distance and PVO2 （ r =0. 619, P 〈0. 001 ） in six-minute walk test. The regression equation was set up （ VO2/kg =0. 05D -6. 331, P 〈 0. 001 ）. PVO2 〉 PVCO2 ,R 〈 1 were found,which suggested that 6MWT was a test below anaerobic threshold. Conclusions There was a closely positive linear correlation between the ambulation distance and PVO2, which is safety, convenient and valuable for the evaluation of cardiopulmonary function and the treatment of cardiopulmonary rehabilitation.展开更多
针对嵌入秘密后灰度图失真明显的问题,提出一种基于像素值排序(PVO)的可逆信息隐藏算法。首先,将像素分成灰、白两层,选择灰层的像素作为目标像素,对目标像素十字交叉位置上的4个白色像素进行排序;然后根据排序结果计算两端两个像素的...针对嵌入秘密后灰度图失真明显的问题,提出一种基于像素值排序(PVO)的可逆信息隐藏算法。首先,将像素分成灰、白两层,选择灰层的像素作为目标像素,对目标像素十字交叉位置上的4个白色像素进行排序;然后根据排序结果计算两端两个像素的均值和中间两个像素的均值,利用可逆约束实现像素的动态预测;最后,根据预测结果构造预测误差直方图(PEH),使用环形复杂度实现秘密数据的自适应嵌入,并用同样的方法处理白色层像素。利用USC-SIPI标准图像库中6幅图像进行仿真实验,当嵌入容量(EC)为10 000 b,平均峰值信噪比(PSNR)为61.89 d B时,该算法能有效减小携密图像的失真。展开更多
文摘Objectives To assess the relationship between peak oxygen consumption （PVO2） and the ambulation distance in six-minute walk test （6MWT）among the healthy subjects. Methods The 51 healthy subjects were recruited for the six-minute walk test. Data of pulmonary gas exchange breath by breath, such as VO2 , VCO2 were real-time measured with wireless remote sensing K4B2, so to study the relationship between peak oxygen uptake and the ambulation distance. Results It was noticed that there was a positive linear correlation between the ambulation distance and PVO2 （ r =0. 619, P 〈0. 001 ） in six-minute walk test. The regression equation was set up （ VO2/kg =0. 05D -6. 331, P 〈 0. 001 ）. PVO2 〉 PVCO2 ,R 〈 1 were found,which suggested that 6MWT was a test below anaerobic threshold. Conclusions There was a closely positive linear correlation between the ambulation distance and PVO2, which is safety, convenient and valuable for the evaluation of cardiopulmonary function and the treatment of cardiopulmonary rehabilitation.
文摘针对嵌入秘密后灰度图失真明显的问题,提出一种基于像素值排序(PVO)的可逆信息隐藏算法。首先,将像素分成灰、白两层,选择灰层的像素作为目标像素,对目标像素十字交叉位置上的4个白色像素进行排序;然后根据排序结果计算两端两个像素的均值和中间两个像素的均值,利用可逆约束实现像素的动态预测;最后,根据预测结果构造预测误差直方图(PEH),使用环形复杂度实现秘密数据的自适应嵌入,并用同样的方法处理白色层像素。利用USC-SIPI标准图像库中6幅图像进行仿真实验,当嵌入容量(EC)为10 000 b,平均峰值信噪比(PSNR)为61.89 d B时,该算法能有效减小携密图像的失真。
