Literature DB >> 20568942

Brain-computer interfaces: military, neurosurgical, and ethical perspective.

Ivan S Kotchetkov1, Brian Y Hwang, Geoffrey Appelboom, Christopher P Kellner, E Sander Connolly.   

Abstract

Brain-computer interfaces (BCIs) are devices that acquire and transform neural signals into actions intended by the user. These devices have been a rapidly developing area of research over the past 2 decades, and the military has made significant contributions to these efforts. Presently, BCIs can provide humans with rudimentary control over computer systems and robotic devices. Continued advances in BCI technology are especially pertinent in the military setting, given the potential for therapeutic applications to restore function after combat injury, and for the evolving use of BCI devices in military operations and performance enhancement. Neurosurgeons will play a central role in the further development and implementation of BCIs, but they will also have to navigate important ethical questions in the translation of this highly promising technology. In the following commentary the authors discuss realistic expectations for BCI use in the military and underscore the intersection of the neurosurgeon's civic and clinical duty to care for those who serve their country.

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Mesh:

Year:  2010        PMID: 20568942     DOI: 10.3171/2010.2.FOCUS1027

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  9 in total

1.  Goal selection versus process control while learning to use a brain-computer interface.

Authors:  Audrey S Royer; Minn L Rose; Bin He
Journal:  J Neural Eng       Date:  2011-04-21       Impact factor: 5.379

2.  Neurosurgery and the dawning age of Brain-Machine Interfaces.

Authors:  Nathan C Rowland; Jonathan Breshears; Edward F Chang
Journal:  Surg Neurol Int       Date:  2013-03-19

Review 3.  Ethical aspects of brain computer interfaces: a scoping review.

Authors:  Sasha Burwell; Matthew Sample; Eric Racine
Journal:  BMC Med Ethics       Date:  2017-11-09       Impact factor: 2.652

4.  Identity change and informed consent.

Authors:  Karsten Witt
Journal:  J Med Ethics       Date:  2017-03-20       Impact factor: 2.903

5.  A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis.

Authors:  Balbir Singh; Hiroaki Wagatsuma
Journal:  Comput Math Methods Med       Date:  2017-01-17       Impact factor: 2.238

6.  Neuroethics of Non-primary Brain Computer Interface: Focus on Potential Military Applications.

Authors:  Charles N Munyon
Journal:  Front Neurosci       Date:  2018-10-23       Impact factor: 4.677

7.  When "I" becomes "We": ethical implications of emerging brain-to-brain interfacing technologies.

Authors:  John B Trimper; Paul Root Wolpe; Karen S Rommelfanger
Journal:  Front Neuroeng       Date:  2014-02-12

Review 8.  Methods of EEG signal features extraction using linear analysis in frequency and time-frequency domains.

Authors:  Amjed S Al-Fahoum; Ausilah A Al-Fraihat
Journal:  ISRN Neurosci       Date:  2014-02-13

9.  An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain-Computer Interface.

Authors:  Xuying Wang; Rui Yang; Mengjie Huang
Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

  9 in total

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