 In this study, researchers developed a new technique called F-SAMPEN to measure the correlation between surface electromyographic data and airflow. This technique was tested on 20 subjects who were asked to perform five different breathing tasks. The results showed that F-SAMPEN can be used to accurately predict airflow, even when the ECG signal is present. Additionally, the researchers used non-linear programming to find a universal fit for each subject's F-SAMPEN values and airflow. This allowed them to use surface EMGDI to monitor and control respiratory activity. This article was offered by Xiaoyu Gu, Shui Ren, Yensher, and others.