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Time-frequency analysis of electrical brain responses to nociceptive stimulation

Meer, O.R.C. van der (2017) Time-frequency analysis of electrical brain responses to nociceptive stimulation.

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Abstract:Current diagnostic methods for the early detection of chronic pain are lacking. Time-frequency analysis of electrical brain responses is a promising approach in the development of more sophisticated diagnostic methods. The used time-frequency analysis method utilizes wavelet transforms based on Morlet wavelets to analyze the measurements as a time-frequency representation. The primary advantage of this representation is the inclusion of frequency content in the gamma-band (30-100 Hz) that is conventionally �filtered out when averaging over trials due to their nonphase-locked nature. Antecedent research has shown that especially the signals in the gamma-band are strongly correlated to subjective pain perception, and are therefore interesting for research in the context of chronic pain. Furthermore, this thesis proposes a possible improvement to existing time-frequency analysis methods by incorporating linear mixed models (LMMs) in the analysis. The used time-frequency method worked as desired and showed accurate time-frequency representations of electrical brain responses, including the nonphase-locked gamma-band oscillations. The LMM approach yielded a better signal-to-noise ratio compared to conventional averaging methods. Also, the LMM approach successfully represented the influence of parameters on the EEG measurement.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/75039
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