research-article

Design and application of a novel wearable EEG system for e-healthcare

Authors:

Thomas Kaegi-TrachselAuthors Info & Claims

UAAII '11: Proceedings of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction

Pages 1 - 8

https://doi.org/10.1145/2030092.2030094

Published: 18 September 2011 Publication History

Abstract

Electroencephalogram (EEG) signal plays an important role in E-healthcare system, especially the mental healthcare field. In order to improve access and quality of EEG data delivery, detect the mental depression and reduce the hardware cost, we present the design and application of a novel wearable EEG system. After the introduction of hardware, a novel algorithm to calculate EEG signal quality is given so as to control the communication, reduce complexity and the power consumption. Then, the main noises in EEG, such as Ocular Artifacts (OA) and DC adrift are removed by an improved de-noising approach. Finally, Alpha asymmetry and C0 complexity are used as main features to identify mental depression and sent to server by internet for further research. The results show that this EEG system can both work correctly and has low hardware cost. Furthermore, it has been used in the OPTIMI project of the EU's Seventh Framework Programme (FP7) and works well.

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Cited By

Eagle TMehrotra ASharma AZuniga AWhittaker S(2022)"Money Doesn't Buy You Happiness": Negative Consequences of Using the Freemium Model for Mental Health AppsProceedings of the ACM on Human-Computer Interaction10.1145/35551556:CSCW2(1-38)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555155
Cannard CWahbeh HDelorme A(2021)Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable SystemFrontiers in Human Neuroscience10.3389/fnhum.2021.74513515Online publication date: 24-Dec-2021
https://doi.org/10.3389/fnhum.2021.745135
Cannard CWahbeh HDelorme A(2021)Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM52615.2021.9669778(3603-3610)Online publication date: 9-Dec-2021
https://doi.org/10.1109/BIBM52615.2021.9669778
Show More Cited By

Index Terms

Design and application of a novel wearable EEG system for e-healthcare
1. Information systems
  1. Information systems applications

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cover image ACM Conferences

UAAII '11: Proceedings of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction

September 2011

46 pages

ISBN:9781450309325

DOI:10.1145/2030092

General Chairs:
Bin Hu
Birmingham City University, UK
,
Jürg Gutknecht
Swiss Federal Institute of Technology Zurich, Switzerland
,
Program Chair:
Li Liu
Lanzhou University, China

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 September 2011

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Ubicomp '11: The 2011 ACM Conference on Ubiquitous Computing

September 18, 2011

Beijing, China

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Cited By

Eagle TMehrotra ASharma AZuniga AWhittaker S(2022)"Money Doesn't Buy You Happiness": Negative Consequences of Using the Freemium Model for Mental Health AppsProceedings of the ACM on Human-Computer Interaction10.1145/35551556:CSCW2(1-38)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555155
Cannard CWahbeh HDelorme A(2021)Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable SystemFrontiers in Human Neuroscience10.3389/fnhum.2021.74513515Online publication date: 24-Dec-2021
https://doi.org/10.3389/fnhum.2021.745135
Cannard CWahbeh HDelorme A(2021)Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM52615.2021.9669778(3603-3610)Online publication date: 9-Dec-2021
https://doi.org/10.1109/BIBM52615.2021.9669778
Maeda A(2020)Can not touching the nose or eyes help cold prevention? Possibility of application using a smartwatch and self-checking2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC44109.2020.9176589(5722-5728)Online publication date: Jul-2020
https://doi.org/10.1109/EMBC44109.2020.9176589
Sanches PJanson AKarpashevich PNadal CQu CDaudén Roquet CUmair MWindlin CDoherty GHöök KSas CBrewster SFitzpatrick GCox AKostakos V(2019)HCI and Affective HealthProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300475(1-17)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300475
Majmudar CMorshed B(2016)Autonomous OA Removal in Real-Time from Single Channel EEG Data on a Wearable Device Using a Hybrid Algebraic-Wavelet AlgorithmACM Transactions on Embedded Computing Systems10.1145/298362916:1(1-16)Online publication date: 13-Oct-2016
https://dl.acm.org/doi/10.1145/2983629

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