Deep breathing produces positive physiological effects. There is numerous, existing mobile application that measures heart rate variability. However, the study on reporting the unknown changes of the total time interval at the resting stage before and after the deep breathing at 6 cycles per min for 3 min and data mining with the mobile application is novel. In this work, the measurement of the blood flow changes on the fingertip was employing the mobile camera and developed into an android-based mobile application for measuring the heart rate variability for pre-and post-effect of a directed 6 cycles in a min deep breathing video for 3 min. To date, a total of 204 respondents shows a total of increment of Standard Deviation of normal to normal (SDNN) 43.1 with video-directed deep breathing for 6 cycles per min for 3 min in breathing length for 3 years after the android App has launched in the Google App Store. Data mining concept with the mobile application which integrated with physical measurement enables the huge sample size recruitment globally.