Towards Event-Related Potential Predictions in Short-Term Responses of Physiological Measures

 

Fatima Isiaka

Zainab Adamu

Sophia Al Sharji

 

 

Abstract

 

Event-related potential (ERP) is mostly used in electroencephalography (EEG) readings as a neutral response that is associated with certain sensory, and motor events normally called stimulus and cognitive responses. This is often recorded using scalp EEG and notes the average changes in the current-voltage over some time with the initial time as an onset of the stimulus over several event trials. This paper access the phenomenon behind the ERP for brain process and tends to emulate this with the concept of Electrodermal activities (SCR) in synchronous to other physiological processes like pupil dilation (PupilC), skin temperature (SkinT) and Fixation duration (FixD) using four different filters (Savisky Golar filter (SVGfilter), Moving Average filter (MovAFilter), Peak find filter (FindPeak) and Least mean square (LMS)), to predict the short term time frame for the responses. The performance of each filter is compared to determine which best suits the predictions of synchronous events from physiological responses.

 

Keywords: Event-related potential, EEG, Physiological response, Information acquisition, human conditions, Synchronous events

 

 

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