Abstract:
There is an inherent connection between nervous system and muscle activity
during breathing process. Both muscle fiber activation and the propagation of
nerve impulses are electrical in its nature, whilst many cognitive functions could
be measured by EEG signals. So the logical assumption might be that different
breathing patterns, initially spotted by the minute volume changing, could
be seen by change in electrophysiology of muscle activity – electromyogram
(EMG). This pioneer multidisciplinary investigation has been concentrated
on the most passive breathing activity, the prolonged breath holding. The
safe and comfort method of physiological breath holding method has been
applied. Having in mind number of anatomic and physiological characteristics
of human body the two regions for non-invasive EMG measuring had been
proposed– the neck and the region of solar plexus. The first test was done by 30
healthy volunteers, the students of sport science. The clear electrophysiology
activity in these two regions has been proved. The measured respirational,
ECG and two EMG signals has been shown that the sample rate of 200 Hz
is quite enough. This opens the new possibilities for further experiments to
be performed by enlarged number of electropoligraphical signals simultane-
ously taken. Whilst approaching to the point of physiological answer of the
breath holding, the concerning increase of both average power and power
spectral density had been spotted, especially in the regions of delta and theta.
CITATION:
IEEE format
M. Ostojić, M. Milosavljević, “The Possibility of Electromyography Measuring as The Answer to Breath Holding,” in Sinteza 2019 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2019, pp. 307-312. doi:10.15308/Sinteza-2019-307-312
APA format
Ostojić, M., Milosavljević, M. (2019). The Possibility of Electromyography Measuring as The Answer to Breath Holding. Paper presented at Sinteza 2019 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2019-307-312