Real-Time Vigilance Estimation Using Mobile Wireless Mindo EEG Device with Spring-Loaded Sensors

Ko, Li-Wei; Chuang, Chun‐Hsiang; Huang, Chiung‐Shiann; Chen, Yen Hsuan; Lu, Shao Wei; Liao, Lun-De; Chang, Wan Ting; Lin, Chin‐Teng

doi:10.1007/978-3-642-39454-6_48

Cited by 1 publication

(2 citation statements)

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“…Furthermore, high correlation in the walking and cycling states suggested that there were no significant differences between foam-based dry electrodes and wet electrodes under the conditions of motion. Because hair in the electrode-scalp interface causes poor contact, foam-based electrodes are only suitable for hairless locations of the scalp [8], [10]. …”

Section: Resultsmentioning

confidence: 99%

“…These features include the use of a flexible material that provides a high degree of comfort even when force is applied, low manufacturing cost for the foam-based dry electrodes [7], and high reusability for the spring-loaded dry electrodes [8]. Although these electrodes have been successfully implemented into mobile EEG systems for BCI applications, these systems were designed primarily for use in low motion conditions [9], [10]. …”

Section: Introductionmentioning

confidence: 99%

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Comparison of foam-based and spring-loaded dry EEG electrodes with wet electrodes in resting and moving conditions

Yeung

Garudadri

Toen

et al. 2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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The introduction of dry electrodes for EEG measurements has opened up possibilities of recording EEG outside of standard clinical environments by reducing required preparation and maintenance. However, the signal quality of dry electrodes in comparison with wet electrodes has not yet been evaluated under activities of daily life (ADL) or high motion tasks. In this study, we compared the performances of foam-based and spring-loaded dry electrodes with wet electrodes under three different task conditions: resting state, walking, and cycling. Our analysis showed signals obtained by the 2 types of dry electrodes and obtained by wet electrodes displayed high correlation for all conditions, while being prone to similar environmental and electrode-based artifacts. Overall, our results suggest that dry electrodes have a similar signal quality in comparison to wet electrodes and may be more practical for use in mobile and real-time motion applications due to their convenience. In addition, we conclude that as with wet electrodes, post-processing can mitigate motion artifacts in ambulatory EEG acquisition.

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Section: Resultsmentioning

confidence: 99%