Literature DB >> 30956880

Wearable EEG and beyond.

Alexander J Casson1.   

Abstract

The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the brain. It is based upon placing conductive electrodes on the scalp which measure the small electrical potentials that arise outside of the head due to neuronal action within the brain. Historically this has been a large and bulky technology, restricted to the monitoring of subjects in a lab or clinic while they are stationary. Over the last decade much research effort has been put into the creation of "wearable EEG" which overcomes these limitations and allows the long term non-invasive recording of brain signals while people are out of the lab and moving about. This paper reviews the recent progress in this field, with particular emphasis on the electrodes used to make connections to the head and the physical EEG hardware. The emergence of conformal "tattoo" type EEG electrodes is highlighted as a key next step for giving very small and socially discrete units. In addition, new recommendations for the performance validation of novel electrode technologies are given, with standards in this area seen as the current main bottleneck to the wider take up of wearable EEG. The paper concludes by considering the next steps in the creation of next generation wearable EEG units, showing that a wide range of research avenues are present.

Entities:  

Keywords:  Electrodes; Electroencephalography; Wearable

Year:  2019        PMID: 30956880      PMCID: PMC6431319          DOI: 10.1007/s13534-018-00093-6

Source DB:  PubMed          Journal:  Biomed Eng Lett        ISSN: 2093-9868


  54 in total

1.  Towards out-of-the-lab EEG in uncontrolled environments: Feasibility study of dry EEG recordings during exercise bike riding.

Authors:  Siddharth Kohli; Alexander J Casson
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

2.  A wearable physiological sensor suite for unobtrusive monitoring of physiological and cognitive state.

Authors:  Robert Matthews; Neil J McDonald; Paul Hervieux; Peter J Turner; Martin A Steindorf
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

Review 3.  Active Electrodes for Wearable EEG Acquisition: Review and Electronics Design Methodology.

Authors:  Jiawei Xu; Srinjoy Mitra; Chris Van Hoof; Refet Firat Yazicioglu; Kofi A A Makinwa
Journal:  IEEE Rev Biomed Eng       Date:  2017-01-20

Review 4.  The in-the-ear recording concept: user-centered and wearable brain monitoring.

Authors:  David Looney; Preben Kidmose; Cheolsoo Park; Michael Ungstrup; Mike Rank; Karin Rosenkranz; Danilo Mandic
Journal:  IEEE Pulse       Date:  2012 Nov-Dec       Impact factor: 0.924

5.  Wearable electroencephalography. What is it, why is it needed, and what does it entail?

Authors:  Alexander Casson; David Yates; Shelagh Smith; John Duncan; Esther Rodriguez-Villegas
Journal:  IEEE Eng Med Biol Mag       Date:  2010 May-Jun

6.  Soft, curved electrode systems capable of integration on the auricle as a persistent brain-computer interface.

Authors:  James J S Norton; Dong Sup Lee; Jung Woo Lee; Woosik Lee; Ohjin Kwon; Phillip Won; Sung-Young Jung; Huanyu Cheng; Jae-Woong Jeong; Abdullah Akce; Stephen Umunna; Ilyoun Na; Yong Ho Kwon; Xiao-Qi Wang; ZhuangJian Liu; Ungyu Paik; Yonggang Huang; Timothy Bretl; Woon-Hong Yeo; John A Rogers
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-16       Impact factor: 11.205

7.  Wearable, wireless EEG solutions in daily life applications: what are we missing?

Authors:  Vojkan Mihajlovic; Bernard Grundlehner; Ruud Vullers; Julien Penders
Journal:  IEEE J Biomed Health Inform       Date:  2014-06-03       Impact factor: 5.772

8.  Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects.

Authors:  Johanna Wagner; Teodoro Solis-Escalante; Peter Grieshofer; Christa Neuper; Gernot Müller-Putz; Reinhold Scherer
Journal:  Neuroimage       Date:  2012-08-14       Impact factor: 6.556

9.  EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.

Authors:  Sarah Blum; Stefan Debener; Reiner Emkes; Nils Volkening; Sebastian Fudickar; Martin G Bleichner
Journal:  Biomed Res Int       Date:  2017-11-16       Impact factor: 3.411

10.  Effects of Cable Sway, Electrode Surface Area, and Electrode Mass on Electroencephalography Signal Quality during Motion.

Authors:  Evangelia-Regkina Symeonidou; Andrew D Nordin; W David Hairston; Daniel P Ferris
Journal:  Sensors (Basel)       Date:  2018-04-03       Impact factor: 3.576

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  23 in total

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Journal:  Atten Percept Psychophys       Date:  2020-10-09       Impact factor: 2.199

Review 2.  Digital therapeutics in neurology.

Authors:  S Bonavita; L Lavorgna; G Abbadessa; F Brigo; M Clerico; S De Mercanti; F Trojsi; G Tedeschi
Journal:  J Neurol       Date:  2021-05-20       Impact factor: 4.849

3.  A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep.

Authors:  Sven Leach; Ku-Young Chung; Laura Tüshaus; Reto Huber; Walter Karlen
Journal:  Front Neurosci       Date:  2020-06-17       Impact factor: 4.677

4.  Development of a Brain-Computer Interface Toggle Switch with Low False-Positive Rate Using Respiration-Modulated Photoplethysmography.

Authors:  Chang-Hee Han; Euijin Kim; Chang-Hwan Im
Journal:  Sensors (Basel)       Date:  2020-01-08       Impact factor: 3.576

5.  Wireless, Skin-Mountable EMG Sensor for Human-Machine Interface Application.

Authors:  Min-Su Song; Sung-Gu Kang; Kyu-Tae Lee; Jeonghyun Kim
Journal:  Micromachines (Basel)       Date:  2019-12-14       Impact factor: 2.891

6.  Design and Verification of a Dry Sensor-Based Multi-Channel Digital Active Circuit for Human Brain Electroencephalography Signal Acquisition Systems.

Authors:  Chin-Teng Lin; Chi-Hsien Liu; Po-Sheng Wang; Jung-Tai King; Lun-De Liao
Journal:  Micromachines (Basel)       Date:  2019-10-25       Impact factor: 2.891

Review 7.  Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.

Authors:  Roberto Portillo-Lara; Bogachan Tahirbegi; Christopher A R Chapman; Josef A Goding; Rylie A Green
Journal:  APL Bioeng       Date:  2021-07-20

8.  Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes.

Authors:  James R Williamson; Doug Sturim; Trina Vian; Joseph Lacirignola; Trey E Shenk; Sophia Yuditskaya; Hrishikesh M Rao; Thomas M Talavage; Kristin J Heaton; Thomas F Quatieri
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

9.  Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications.

Authors:  Chin-Teng Lin; Chen-Yu Wang; Kuan-Chih Huang; Shi-Jinn Horng; Lun-De Liao
Journal:  Emerg Med Int       Date:  2021-06-10       Impact factor: 1.112

Review 10.  EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.

Authors:  Nazmi Sofian Suhaimi; James Mountstephens; Jason Teo
Journal:  Comput Intell Neurosci       Date:  2020-09-16
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