130 Hits in 9.6 sec

Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications

Hermann Hinrichs, Michael Scholz, Anne Katrin Baum, Julia W. Y. Kam, Robert T. Knight, Hans-Jochen Heinze
2020 Scientific Reports  
Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems.  ...  Each subject took part in two recordings on different days, one with 19 dry electrodes and another with 19 wet electrodes. They reported their preferred EEG system.  ...  Acknowledgements We would like to thank Renate Deike and Helmuth Feistner for providing the visual EEG evaluation.  ... 
doi:10.1038/s41598-020-62154-0 pmid:32251333 fatcat:hpqcif5vprfn7k2n4ueyrx5pnq

Measurement of neural signals from inexpensive, wireless and dry EEG systems

T S Grummett, R E Leibbrandt, T W Lewis, D DeLosAngeles, D M W Powers, J O Willoughby, K J Pope, S P Fitzgibbon
2015 Physiological Measurement  
We compared EEG recordings obtained from three systems that are inexpensive, wireless, and/or dry (no gel), against recordings made with a traditional, research-grade EEG system, in order to investigate  ...  The systems compared were: Emotiv EPOC (inexpensive and wireless), B-Alert (wireless), g.Sahara (dry) and g.HIamp (research-grade).  ...  Technology Organisation (DSTO), who provided the B-Alert and relevant funding under research agreement 363863 between Flinders University and the DSTO.  ... 
doi:10.1088/0967-3334/36/7/1469 pmid:26020164 fatcat:xfsa3bu6mbhrzjlv337doi6xdu

Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review

Yu Mike Chi, Tzyy-Ping Jung, Gert Cauwenberghs
2010 IEEE Reviews in Biomedical Engineering  
The paper concludes with highlighting some of the novel systems that dry electrode technology has enabled for cardiac and neural monitoring followed by a discussion of the current challenges and a roadmap  ...  In addition, detailed knowledge and comparisons between different electrodes are not well known in the literature.  ...  Maier for his many helpful insights and discussions. Copyright (c) 2010 IEEE. Personal use of this material is permitted.  ... 
doi:10.1109/rbme.2010.2084078 pmid:22275204 fatcat:cd6acaen7re77jdbnc6zzm4n5u

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofia Ouhbi, Abderrahmane Lakas
2021 Sensors  
Moreover, 28 companies were identified that developed wired and wireless equipment as means of BCI assistive technology.  ...  However, such BCI systems must be simple (wearable), convenient (sensor fabrics and self-adjusting abilities), and inexpensive.  ...  EEG100C × MD [259] Table 3 . 3 A systematic comparison of the EEG devices.  ... 
doi:10.3390/s21144754 fatcat:j2dvdi6aobgflkijoxjf63vnwy

Categorisation of Mobile EEG: A Researcher's Perspective

Anthony D. Bateson, Heidi A. Baseler, Kevin S. Paulson, Fayyaz Ahmed, Aziz U. R. Asghar
2017 BioMed Research International  
The term "mobile EEG," although commonly used to describe many of these undertakings, is ambiguous, since it attempts to encompass a wide range of EEG device mobility, participant mobility, and system  ...  To provide quantitative parameters for "mobile EEG," we developed a Categorisation of Mobile EEG (CoME) scheme based upon scoring of device mobility (D, from 0, off-body, to 5, head-mounted with no additional  ...  A score of 1 was given, and along with electrodes that were dry, passive, and shielded (score = 2), this gave a score for the system specification of 7 , and with 8 EEG channels, the overall score was  ... 
doi:10.1155/2017/5496196 pmid:29349078 pmcid:PMC5733835 fatcat:gtixziv4kfcbppowzo5t5u7nta

A Low-Power/Low-Voltage CMOS Wireless Interface at 5.7 GHz With Dry Electrodes for Cognitive Networks

Nuno Sérgio Dias, João Paulo Carmo, Paulo Mateus Mendes, José Higino Correia
2011 IEEE Sensors Journal  
This paper describes a low-power/low-voltage CMOS wireless interface (CMOS-WiI) at 5.7 GHz with dry electrodes for congnitive networks.  ...  The electrodes are 4 4 microtip arrays and acquire electroencephalogram (EEG) signals in key-points for processing.  ...  Fig. 4 shows the system architecture of the CMOS-WiI to mount a wireless sensors network with wireless modules comprised of dry EEG electrodes and the CMOS-WiI.  ... 
doi:10.1109/jsen.2010.2067447 fatcat:ch6hftmcfrdjvpa27wbyjnmp5q

Mobile EEG in Research on Neurodevelopmental Disorders: Opportunities and Challenges

Alex Lau-Zhu, Michael P.H. Lau, Gráinne McLoughlin
2019 Developmental Cognitive Neuroscience  
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific technology - to study real-time brain activity - that is relatively inexpensive, non-invasive and portable.  ...  Mobile EEG leverages state-of-the-art hardware alongside established advantages of traditional EEG and recent advances in signal processing.  ...  Trilobite (Mindo) 32 Dry (spring, foam) 24 500 0.23-1300 524 10 Bluetooth PC, Android i. eego sports (ANT Neuro) 64 Wet (gel)/ Dry (polymer) 24 2048 0-532 500 5 Wired to a tablet  ... 
doi:10.1016/j.dcn.2019.100635 pmid:30877927 pmcid:PMC6534774 fatcat:b3wkjrk3bffyjm3ngjvfhfp3sq

Dry Electrodes for Human Bioelectrical Signal Monitoring

Yulin Fu, Jingjing Zhao, Ying Dong, Xiaohao Wang
2020 Sensors  
Finally, the development obstacles and application advantages of different dry electrodes are analyzed to make a comparison and reveal research directions for future studies.  ...  Ag/AgCl electrodes with wet conductive gels are widely used to pick up these bioelectrical signals using electrodes and record them in the form of electroencephalograms, electrocardiograms, electromyography  ...  DRIE, wet etching, evaporation, thermal oxidation Dias [18] 54.7°-angle microneedles array and wireless system Silicon, iridium oxide Invasive EEG electrode The electrode is composed by  ... 
doi:10.3390/s20133651 pmid:32610658 pmcid:PMC7374322 fatcat:a4t4awbvlvhgnm36j5lmlv5tyu

In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system [article]

Marta Topor, Bertram Opitz, Philip J A Dean
2021 bioRxiv   pre-print
The study assessed a new mobile electroencephalography (EEG) system with water-based electrodes for its applicability in time-frequency and event related potential research.  ...  It was compared to a standard gel-based wired system. EEG was recorded on two occasions as participants completed the flanker task, first with the gel-based system followed by the water-based system.  ...  As an alternative to the wet gel-based electrodes, there is a number of available dry electrode EEG systems. They do not require any wet substance to be applied at the scalp for signal recording.  ... 
doi:10.1101/2021.04.28.441825 fatcat:oj4lsnwvu5gxljcokhklayisfa

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

Roberto Portillo-Lara, Bogachan Tahirbegi, Christopher A. R. Chapman, Josef A. Goding, Rylie A. Green
2021 APL Bioengineering  
In this contribution, the state-of-the-art in wearable biosensing is reviewed, focusing on the development of novel electrode interfaces for long term and noninvasive EEG monitoring.  ...  Commercially available EEG platforms are surveyed, and a comparative analysis is presented based on the benefits and limitations they provide for eBCI development.  ...  and semi-dry electrodes Wet electrodes form a "wet" interface with the scalp through the use of a conductive gel or paste (Fig. 3 ).  ... 
doi:10.1063/5.0047237 doaj:422b3957756246adbea42395d5268cda fatcat:54qu4v4knjgvvhmht2k4tmxlim

A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis [article]

Ce Zhang, Azim Eskandarian
2020 arXiv   pre-print
However, many improvements are still required in EEG artifact reduction, real-time processing, and between-subject classification accuracy.  ...  A deeper understanding of the driver state is, therefore, paramount. EEG is proven to be one of the most effective methods for driver state monitoring and human error detection.  ...  Most EEG signal acquisition systems applied in driver state studies can be categorized as dry electrode vs. wet electrode and wire communication vs. wireless communication.  ... 
arXiv:2008.11226v1 fatcat:fbsmjgk6sre3dnunnmjfh65ccm

Human machine interface: robotizing the instinctive living

Ahmad Mahmood Tahir
2018 International Robotics & Automation Journal  
The methodical study of these technologies and comparison of corresponding techniques and sensors is potentially useful to demonstrate the significance of brain machine interface.  ...  This paper reviews key techniques and sensors vital to this technological paramount, along with an appraisal to the commercially available sensors.  ...  EEG is a faster and cheaper method in comparison with other technologies.  ... 
doi:10.15406/iratj.2018.04.00142 fatcat:wout5yv2xfckxjxavkjxz2prl4

Integrated Circuits and Electrode Interfaces for Noninvasive Physiological Monitoring

Sohmyung Ha, Chul Kim, Yu M. Chi, Abraham Akinin, Christoph Maier, Akinori Ueno, Gert Cauwenberghs
2014 IEEE Transactions on Biomedical Engineering  
Examples are presented of practical dry-contact and noncontact cardiac, respiratory, muscle and brain monitoring systems, and their clinical applications.  ...  This paper presents an overview of the fundamentals and state of the-art in noninvasive physiological monitoring instrumentation with a focus on electrode and optrode interfaces to the body, and micropower-integrated  ...  Kerth for contributions to design of and experiments with the Cognionics 64-channel wireless dry EEG headset.  ... 
doi:10.1109/tbme.2014.2308552 pmid:24759282 fatcat:wy75uz2hhvasvhm3mkcvguwhc4

Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?

Andrew Melnik, Petr Legkov, Krzysztof Izdebski, Silke M. Kärcher, W. David Hairston, Daniel P. Ferris, Peter König
2017 Frontiers in Human Neuroscience  
We tested four EEG systems: two standard research-grade systems, one system designed for mobile use with dry electrodes, and an affordable mobile system with a lower channel count.  ...  As a result, the variance due to EEG system (9%) is of the same order of magnitude as variance due to subjects (32%/sqrt(16) = 8%) with a pool of 16 subjects.  ...  ACKNOWLEDGMENTS The authors would like to thank Marcel Schumacher, Vivien Radke, Ashima Keshava, Maria Sokotushchenko for helping with data acquisition and Allison Moreno-Drexler for proofreading.  ... 
doi:10.3389/fnhum.2017.00150 pmid:28424600 pmcid:PMC5371608 fatcat:skjq7o7jfnhjhjnm27z66627ta

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications [article]

Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin
2020 arXiv   pre-print
Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly  ...  Finally, we deliver a couple of innovative BCI-inspired healthcare applications and discuss some future research directions in EEG-based BCIs.  ...  [39] [40] reviewed and designed wireless devices with dry and noncontact EEG electrode sensors. Chi et al.  ... 
arXiv:2001.11337v1 fatcat:cmurfjykjja3rdifr7e7cqq3wy
« Previous Showing results 1 — 15 out of 130 results