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5.9 FINDINGS IN THIS CHAPTER 145

At the end of the year, the majority of the data came under the zone of low frequency and low
duration with exceptions for two subjects in the range of higher frequency or duration, which proves
that this therapy is less efficient than the other therapies.
Further analysis of subjects suffering with chronic TTH showed that at the end of the year, the
majority of the data came under the zone of low frequency and low duration with the exception of only
one subject in the range of higher frequency or duration.
It has been found that EMGa converged the most diverged data more effectively than that of EMGv
and EMGav.
It is clear from the analysis that three confounding factors, i.e., intensity, duration, and frequency,
greatly influence the characteristics of the EMG and GSR signals and thus the performance of pattern
recognition systems. A massive amount of information is necessary to encapsulate and describe the
complexity and variability of surface EMG and GSR signals. To translate the vast and complex infor-
mation in EMG and GSR signals into useful control signals for prosthetic devices for identifying
neuromuscular diseases, data storing, and sharing, big data are needed.
The IoT can help in remote patient monitoring of subjects with chronic or long-term stress. It can
help in tracking the subject’s medication orders and the location of subjects admitted to hospital or
under treatment, and send information to caregivers. With the help of big data and IoT, EMG and
GSR data have been made available online and there are now at least 33 datasets with surface
EMG collected from 662 subject sessions [32].

5.9 FINDINGS IN THIS CHAPTER
In the present study, the effect of EMGa, EMGv, EMGav, GSRa, GSRv, and GSRav were studied on
different subjects for the treatment of chronic type of TTH stress. Stress is a common term that we use
in daily life without any reason. But stress is not so easy to explain. Stress as a word means “to draw
tight” and it has been used to describe hardship, affliction, force, pressures, strain, or strong effort. It is
also external pressure or pressure supplied on the individual. Many people experience stress as they
combine busy lives and the demands of study while trying to save time for friends and family. We
all experience episodic stress, such as getting ready for an important event. Stress is generally applied
to various mental and physiological pressures experienced by people.
There are two higher mental processes. This study is important as there is an important need to study
the chronic type TTH stress with the help of alternate therapies such as EMG and GSR BF therapy on
subjects of different ages, gender, and caste. The study was performed rigorously and was unique of its
own kind to show the effectiveness of BF therapies in different modes and the rate of improvement in
stress/TTH reduction was recorded. This type of scientific study is really important because the number
of sufferers are increasing in recent years.
The data of BF therapies analysis was variable and had great complexity so the trends of various
factors affecting EMG and GSR signals can be stored as big data and with the application of IoT, the
EMG and GSR pattern recognition systems would be capable of applying complex algorithms and
analyzing them so that the patient receives proper attention and medical care.