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132     CHAPTER 5 CHRONIC TTH ANALYSIS BY EMG AND GSR BIOFEEDBACK




                EMGav: There were dramatic results found just after applying this technique for 1month. The
             trend became exponential after this period and moved toward becoming linear thereafter. This resulted
             in five subjects falling outside of the quadrant of average low duration and average low intensity and
             one subject with low intensity and average duration. Out of which one subject had a low duration with
             high intensity and three subjects had low intensity with average duration.
                Therefore, for duration, EMGav performed similar to GSRav and in terms of intensity, both EMGav
             and GSRav had one subject with higher intensity, EMGav had one, and GSRav had two subjects with
             average intensity and low duration.
                We can conclude that EMGav had a better correlation between duration and intensity.




             5.8.18 TREND ON CORRELATION OF TTH DURATION WITH OCCURRENCE
             This analysis was performed to establish the correlation between the frequencies of occurrence of TTH
             pain with its duration of stay (Fig. 5.25).

             Representation
             1. - - dotted line Median.
             2. – Average (continuous line).
             3. Bubbles (O)—Average of all subjects.
             4. + individual subject plot.

             The baseline data for the GSRav was more toward the average of frequency and duration with a few
             exceptions for subjects where the data lay in the high duration and high frequency zone.
                The baseline data for EMGav mostly belonged to the high duration and high frequency zone, show-
             ing that the subject group consisted of individuals suffering from the most frequently occurring
             severe pain.
                After applying the different trend models such as linear, logarithmic, exponential, polynomial, and
             power model, we found the best fitted trend in the logarithmic model. Hence, the logarithmic model
             trend was analyzed. The mathematical modeling of the logarithmic model is given as follows:
             (Tables 5.17–5.19).


                                                   Period                              Techniques
                      BaseLine      1 month       3 months      6 months      12 months   EMGav
                       Median        Median        Median        Median        Median     GSRav
               20
               Avg. duration  10 Average

                  Median
                0
                       Median        Median        Median        Median        Median
                   0   5  10  15  0  5  10  15 0   5  10  15  0  5  10  15  0  5  10  15
                    Avg. frequency  Avg. frequency  Avg. frequency  Avg. frequency  Avg. frequency
             FIG. 5.25
             Correlation of TTH: duration with occurrence.
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