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Title Two-channel ERP Signal Processing on Prefrontal Cortex of the Elderly and Its Application
Authors 배장한(Jang-Han Bae) ; 김중일(Joong Il Kim) ; 김재욱(Jaeuk U. Kim)
DOI https://doi.org/10.5573/ieie.2022.59.11.119
Page pp.119-130
ISSN 2287-5026
Keywords ERP; Signal processing; Elderly; Prefrontal cortex; Two-channel EEG
Abstract In this study, signal processing and analysis method were proposed for 2-channel ERP data obtained from the prefrontal cortex of the elderly and explored the results of data measured in the clinical environment. The pre-processing of EEG with a low signal-to-noise ratio is essential to reduce artifacts and extract clean data features.. In particular, two-channel ERP obtained from the elderly were not only of poor quality but also of small amplitude, which makes it difficult to apply a conventional EEG analysis approach. Also, when the prefrontal region is measured, the P300 component, which is most prominent in the parietal region, may appear differently. In this study, a systematic and strict guideline was proposed such as filtering, epoching and baseline correction, calculation of response error rate, artifact rejection, random selection and averaging for the signal pre-processing method, and ERP component analysis, unclear or ambiguous component analysis, ERP image and time-frequency analysis for the ERP analysis. Two-channel ERP data of 211 older adults measured under clinical environment were analyzed based on conventional method and the proposed method, and their results were compared. When the proposed guidelines were applied, the ERP that could not be obtained as intended or data with a lot of noise could be excluded with objective criteria, and the detection of inaccurate ERP components could be prevented. In addition, the increased degree of P200 and P300 latency in the proposed method compared to the conventional method was very similar to the results of the previous studies, and it was found that the tendency of the grand average ERP could be more appropriately reflected. By applying the proposed signal processing method, more accurate ERP analysis would be possible, and it could be used in studies on patients with dementia or mild cognitive impairment, which are of high clinical interest of the elderly.