Abstract
The present study investigates trend of relative band power in the frequency sub-bands of electroencephalogram (EEG) signal during painful stimuli. Ten healthy right-handed male in the age group of 20–26 years participated in the experiment of generating thermal pain with simultaneous EEG recording. RMS EEG MAXIMUS acquisition and analysis software was used to record and extract relative band power while decomposing the signal in multiple frequency sub-bands, viz. delta, theta, alpha and beta. The extracted feature during pain has source localisation in delta and theta bands as it accounts for larger power share among all sub-bands. The pain reporting on the Numerical Pain Rating Scale (NPRS) is subjective when compared with the relative band power in different frequency sub-bands in varying levels of pain over all the subjects. It was found that the extracted feature in all frequency sub-bands has a captivating correlation with the NPRS. The EEG signal analysis proves to be the novel tool in pain assessment for better clinical treatment and quantification.
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Ethical approval: The consent obtained from the participants/volunteers was verbal. For this type of study, formal consent is not required.
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Singh, S.R., Deoghare, A.B. (2021). Relative Power Variation in Frequency Sub-bands of the EEG Signal During Painful Stimuli. In: Kalamkar, V., Monkova, K. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3639-7_32
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DOI: https://doi.org/10.1007/978-981-15-3639-7_32
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