Brain-computer interfaces in medicine

Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw

Research output: Contribution to journalArticle

168 Citations (Scopus)

Abstract

Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography- based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function.

Original languageEnglish (US)
Pages (from-to)268-279
Number of pages12
JournalMayo Clinic Proceedings
Volume87
Issue number3
DOIs
StatePublished - Mar 2012

Fingerprint

Brain-Computer Interfaces
Medicine
Equipment and Supplies
Artificial Limbs
Wheelchairs
Computer Systems
Amyotrophic Lateral Sclerosis
Brain
Robotics
Cerebral Palsy
Disabled Persons
Spinal Cord Injuries
Electroencephalography
Stroke
Research Personnel
Technology
Neurons
Muscles

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Shih, J. J., Krusienski, D. J., & Wolpaw, J. R. (2012). Brain-computer interfaces in medicine. Mayo Clinic Proceedings, 87(3), 268-279. https://doi.org/10.1016/j.mayocp.2011.12.008

Brain-computer interfaces in medicine. / Shih, Jerry J.; Krusienski, Dean J.; Wolpaw, Jonathan R.

In: Mayo Clinic Proceedings, Vol. 87, No. 3, 03.2012, p. 268-279.

Research output: Contribution to journalArticle

Shih, JJ, Krusienski, DJ & Wolpaw, JR 2012, 'Brain-computer interfaces in medicine', Mayo Clinic Proceedings, vol. 87, no. 3, pp. 268-279. https://doi.org/10.1016/j.mayocp.2011.12.008
Shih, Jerry J. ; Krusienski, Dean J. ; Wolpaw, Jonathan R. / Brain-computer interfaces in medicine. In: Mayo Clinic Proceedings. 2012 ; Vol. 87, No. 3. pp. 268-279.
@article{075b4a22ddf840ab988c98db3f02fcd0,
title = "Brain-computer interfaces in medicine",
abstract = "Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography- based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function.",
author = "Shih, {Jerry J.} and Krusienski, {Dean J.} and Wolpaw, {Jonathan R.}",
year = "2012",
month = "3",
doi = "10.1016/j.mayocp.2011.12.008",
language = "English (US)",
volume = "87",
pages = "268--279",
journal = "Mayo Clinic Proceedings",
issn = "0025-6196",
publisher = "Elsevier Science",
number = "3",

}

TY - JOUR

T1 - Brain-computer interfaces in medicine

AU - Shih, Jerry J.

AU - Krusienski, Dean J.

AU - Wolpaw, Jonathan R.

PY - 2012/3

Y1 - 2012/3

N2 - Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography- based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function.

AB - Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography- based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function.

UR - http://www.scopus.com/inward/record.url?scp=84857993132&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857993132&partnerID=8YFLogxK

U2 - 10.1016/j.mayocp.2011.12.008

DO - 10.1016/j.mayocp.2011.12.008

M3 - Article

C2 - 22325364

AN - SCOPUS:84857993132

VL - 87

SP - 268

EP - 279

JO - Mayo Clinic Proceedings

JF - Mayo Clinic Proceedings

SN - 0025-6196

IS - 3

ER -