Literature DB >> 33401571

Summary of over Fifty Years with Brain-Computer Interfaces-A Review.

Aleksandra Kawala-Sterniuk1, Natalia Browarska1, Amir Al-Bakri2, Mariusz Pelc1,3, Jaroslaw Zygarlicki1, Michaela Sidikova4, Radek Martinek4, Edward Jacek Gorzelanczyk5,6,7,8.   

Abstract

Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention people who were pioneers in this area as well as we highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many. Aiming to fully understand how the human brain works is a very ambitious goal and it will surely take time to succeed. However, even that fraction of what has already been determined is sufficient e.g., to allow impaired people to regain control on their lives and significantly improve its quality. The more is discovered in this domain, the more benefit for all of us this can potentially bring.

Entities:  

Keywords:  Brain-Computer Interfaces; electrocorticography; electroencephalography; neuro-imaging; signal processing methods

Year:  2021        PMID: 33401571      PMCID: PMC7824107          DOI: 10.3390/brainsci11010043

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  139 in total

1.  Reorganization of functional and effective connectivity during real-time fMRI-BCI modulation of prosody processing.

Authors:  Giuseppina Rota; Giacomo Handjaras; Ranganatha Sitaram; Niels Birbaumer; Grzegorz Dogil
Journal:  Brain Lang       Date:  2010-10-02       Impact factor: 2.381

Review 2.  Application of BCI systems in neurorehabilitation: a scoping review.

Authors:  Mahdi Bamdad; Homayoon Zarshenas; Mohammad A Auais
Journal:  Disabil Rehabil Assist Technol       Date:  2015-01-05

3.  [Hans Berger (1873-1941)--the history of electroencephalography].

Authors:  Mario Tudor; Lorainne Tudor; Katarina Ivana Tudor
Journal:  Acta Med Croatica       Date:  2005

4.  30+ years of P300 brain-computer interfaces.

Authors:  Brendan Z Allison; Andrea Kübler; Jing Jin
Journal:  Psychophysiology       Date:  2020-04-17       Impact factor: 4.016

5.  Multiple sensor integration for seizure onset detection in human patients comparing conventional disc versus novel tripolar concentric ring electrodes.

Authors:  Oleksandr Makeyev; Quan Ding; Iris E Martínez-Juárez; John Gaitanis; Steven M Kay; Walter G Besio
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

6.  Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface.

Authors:  Patrick D Ganzer; Samuel C Colachis; Michael A Schwemmer; David A Friedenberg; Collin F Dunlap; Carly E Swiftney; Adam F Jacobowitz; Doug J Weber; Marcia A Bockbrader; Gaurav Sharma
Journal:  Cell       Date:  2020-04-23       Impact factor: 41.582

7.  Intention concepts and brain-machine interfacing.

Authors:  Franziska Thinnes-Elker; Olga Iljina; John Kyle Apostolides; Felicitas Kraemer; Andreas Schulze-Bonhage; Ad Aertsen; Tonio Ball
Journal:  Front Psychol       Date:  2012-11-09

Review 8.  Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays.

Authors:  Shivayogi V Hiremath; Weidong Chen; Wei Wang; Stephen Foldes; Ying Yang; Elizabeth C Tyler-Kabara; Jennifer L Collinger; Michael L Boninger
Journal:  Front Integr Neurosci       Date:  2015-06-10

9.  Comparison of Filtering Methods for Enhanced Reliability of a Train Axle Counter System.

Authors:  Damian Grzechca; Adam Szczeponik
Journal:  Sensors (Basel)       Date:  2020-05-12       Impact factor: 3.576

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  7 in total

1.  Comparison of Smoothing Filters' Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain-Computer Interface Headset during Audio Stimulation.

Authors:  Natalia Browarska; Aleksandra Kawala-Sterniuk; Jaroslaw Zygarlicki; Michal Podpora; Mariusz Pelc; Radek Martinek; Edward Jacek Gorzelańczyk
Journal:  Brain Sci       Date:  2021-01-13

Review 2.  Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface.

Authors:  Xiaowei Sun; Mingyue Li; Quan Li; Hongna Yin; Xicheng Jiang; Hongtao Li; Zhongren Sun; Tiansong Yang
Journal:  Biomed Res Int       Date:  2022-02-07       Impact factor: 3.411

3.  Feedback Related Potentials for EEG-Based Typing Systems.

Authors:  Paula Gonzalez-Navarro; Basak Celik; Mohammad Moghadamfalahi; Murat Akcakaya; Melanie Fried-Oken; Deniz Erdoğmuş
Journal:  Front Hum Neurosci       Date:  2022-01-25       Impact factor: 3.169

4.  A Brain Controlled Command-Line Interface to Enhance the Accessibility of Severe Motor Disabled People to Personnel Computer.

Authors:  Sofien Gannouni; Kais Belwafi; Mohammad Reshood Al-Sulmi; Meshal Dawood Al-Farhood; Omar Ali Al-Obaid; Abdullah Mohammed Al-Awadh; Hatim Aboalsamh; Abdelfettah Belghith
Journal:  Brain Sci       Date:  2022-07-15

5.  Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples.

Authors:  Amir F Al-Bakri; Radek Martinek; Mariusz Pelc; Jarosław Zygarlicki; Aleksandra Kawala-Sterniuk
Journal:  Sensors (Basel)       Date:  2022-10-04       Impact factor: 3.847

6.  Identification of Brain Electrical Activity Related to Head Yaw Rotations.

Authors:  Enrico Zero; Chiara Bersani; Roberto Sacile
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

Review 7.  Embedded Brain Computer Interface: State-of-the-Art in Research.

Authors:  Kais Belwafi; Sofien Gannouni; Hatim Aboalsamh
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

  7 in total

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