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There are four major features of digital image processing which
are applied in medical and physiological study. The first
feature, such as motion analysis, is changing very fast. The
second feature is the time-consuming inspection, such as the
inspection of adhesiveness of the platelet. The third feature
is extremely fine analysis, such as early detection of fibrosis
of lungs. The last feature is three dimensional reconstruction
from tomography. In this dissertation, we will present a study
about Tang Kung exercise by using the first three processing
techniques mentioned above. In the first part of the study, we
did the quantized analysis of the vibration and shaking of Tang
Kung. Experimental results show that when the frequency of
vibration and shaking is matched with the natural frequency of
human body, the resistance of the blood flow is minimum, and
the microcirculation is enhanced. Experimental results also
present the vibration and shaking in a traveling wave form.
The frequency is close to the third or forth harmonic of the
heart beat. In addition, we took the ECG records for
reference. In the second part of the study, we used a thermal
sensor camera to capture the thermograph of the subject. The
inspected region were face, palm, and chest respectively. By
using the thermal data, we made the comparison between the
vibrating exercise and jogging. Finally, we took thermographs
of the face of the exercising subject. There were 28 pictures
extracted with 2-minutes intervals. The subregions, including
the forehead, eyes, nose, and chin were divided on the face.
The fractal dimensions in the subregions are calculated to
analyze the dynamic alternation of the skin temperature on the
face of the subject. In reference to the Hurst coefficient
derived from the study, we concludeed that the traditional
exercise of Tang-Kung clearly has health benefit.
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