Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/242643
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dc.titlePOLYMER DRY ELECTRODES FOR ACCURATE EPIDERMAL BIOPOTENTIAL DETECTION
dc.contributor.authorCAO JIAN
dc.date.accessioned2023-06-30T18:00:54Z
dc.date.available2023-06-30T18:00:54Z
dc.date.issued2023-03-21
dc.identifier.citationCAO JIAN (2023-03-21). POLYMER DRY ELECTRODES FOR ACCURATE EPIDERMAL BIOPOTENTIAL DETECTION. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/242643
dc.description.abstractFlexible dry electrodes have been developed as an alternative to commercial gel electrodes for biopotential signal detection. Existing dry electrodes face challenges such as poor contact with sweaty skin and difficulty in materials processing. To overcome these issues, a highly sweat-tolerant dry electrode composed of poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS), polyvinyl alcohol (PVA), and tannic acid (TA) is proposed. This electrode exhibits high conductivity, stretchability, and self-adhesiveness to dry or wet skin. It outperforms commercial gel electrodes in contact impedance on dry or sweaty skin, enabling accurate detection of electrocardiogram (ECG) and electromyogram (EMG) signals during rest or physical movement. Additionally, a double-layered dry electrode is developed, consisting of a non-adhesive blend of PEDOT:PSS and waterborne polyurethane (WPU) as the top layer and an adhesive waterborne polyurethane (AWPU) layer as the bottom layer. The penetration of top layer provides bottom layer both conductivity and self-adhesiveness, addressing challenges related to material mixing and preparation.
dc.language.isoen
dc.subjectself-adhesive, biopotential, penetration, dry electrodes, PEDOT:PSS, conformal
dc.typeThesis
dc.contributor.departmentMATERIALS SCIENCE AND ENGINEERING
dc.contributor.supervisorJianyong Ouyang
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING (CDE)
dc.identifier.orcid0000-0002-3508-1395
Appears in Collections:Master's Theses (Open)

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