Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/68229
Title: Signal quality evaluation and enhancement in wearable multi-channels EEG system
Authors: Xiao, Lingxi
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Electroencephalography(EEG) has been used to record the neurophysiological activities inside the brain since almost a century ago. Electrodes are used to interface with the scalp and Standard wet Ag/AgCl electrodes have been used as the conventional method to measure EEG signals. However, such standard wet Ag/AgCl electrodes are with certain types of limitations and we are proposing to use a new type of dry electrode as the materials and integrated electronic systems technologies grow. This project aims to discover which dry electrode would be the best substitute for the standard wet Ag/AgCl electrode as there are limitations for the wet one, mainly based on existing literature review. After that, several groups of dry electrode (being either active or passive) in different conditions will be used, like being wet or dry, using noise cancelling electrode or not, to find out what is the best condition to use the dry electrode as a substitute to minimize the negative effect. Last but not least, this project aims to investigate the changes of Dry Electrode-Skin interface on the EEG signal quality based on existing literature review, by considering past experimental procedures. Past experiment procedures have shown to use impedance variation as the main parameter to determine the EEG signal quality measured by various electrodes. Therefore, this project looks into the findings of past literature in order to prove that these parameters are useful in determining the differences in EEG signal quality between wet and dry electrodes.
URI: http://hdl.handle.net/10356/68229
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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