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130 CHAPTER 5 CHRONIC TTH ANALYSIS BY EMG AND GSR BIOFEEDBACK

Period Period
Techni.. BaseLine 1 month 3 months 6 months 12 months BaseLine
1 month
10 3 months
6 months
12 months
EMGav TTH-intensity ----> 5 Average 1 2 19
20
22
4 3 21
0 5 23
6 24
7 25
10 8 26
9 10 27
28
GSRav TTH-intensity ----> 5 Average 11
12
13
14
0 15
Average Average Average Average Average 16
17
0 10 20 0 10 20 0 10 20 0 10 20 0 10 20
TTH-duration (in h) ----> TTH-duration (in h) ----> TTH-duration (in h) ----> TTH-duration (in h) ----> TTH-duration (in h) ----> 18
FIG. 5.24
Correlation between TTH: duration and intensity.

On analysis, it has been found that the baseline data for both the groups are mostly high TTH in-
tensity and high TTH duration and the correlation between these parameters was high. After applying
the different trend models such as linear, logarithmic, exponential, polynomial, and power model, we
found the best fitted trend in the power model. Hence the power model trend was analyzed. The math-
ematical modeling of the power model is given as follows: (Tables 5.14–5.16).

Trend Lines Model
A linear trend model is computed for natural log of sum of intensity given natural log of sum of
duration. The model may be significant at P .05. The factor period may be significant at P .05.
Analysis of the trend found with the respective techniques is as follows:
GSRav: The improvement trend of duration of TTH pain with the pain intensity was linear at the
start of the experiment but gradually it turned toward exponential almost throughout the period with
exceptions at some places using GSRav as the feedback therapy. At the end of the period, the relation-
ship became completely exponential, which is a result that shows an improvement in intensity to reduce
the duration period.

Table 5.14 Analysis of Variance
F
Field DF SSE MSE P-Value
Period 16 20.810126 1.30063 6.76823 <.0001
Techniques 10 2.4134422 0.241344 1.25591 .257397