Cited by 97EEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyMuscle activation and electromyography studies

Initial on-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials

Birch, G.E., Bozorgzadeh, Z., Mason, S.G.·2002·IEEE Transactions on Neural Systems and Rehabilitation Engineering

Abstract

Previous research has focused on developing a brain-controlled switch named the low frequency asynchronous switch design (LF-ASD) that is suitable for intermittent control of devices such as environmental control systems, computers, and neural prostheses. On-line implementations of the LF-ASD have shown promising results in response to actual index finger flexions with able-bodied subjects. This paper reports the results of initial on-line evaluations of the LF-ASD brain-controlled switch with both able-bodied subjects and subjects with high-level spinal-cord injuries. This paper has demonstrated that users can activate the LF-ASD switch by imaging movement. In this paper, two able-bodied subjects were able to control the LF-ASD with imagined voluntary movements with hit (true positive) rates above 70% and false positive rates below 3% while two subjects with high-level spinal-cord injuries demonstrated hit rates ranging from 45-48% and false positive rates below 1%.

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Crossref · 10.1109/tnsre.2002.806839

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  • The high-yielding application performances come as a result of the pilots' ability to adequately master all four individual subtasks required by the application: intentional control for spin, jump, slide and intentional non-control for rest/idle.

    “Fig 2 illustrates that the high-yielding application performances come as a result of our pilots' ability to adequately master all four individual subtasks required by the application: the intentional control (IC) ability to deliver the correct command on the action pads (spin, jump, slide) and the intentional non-control (INC) ability to “rest/idle” on the white pads [48–50].”

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References 16 · Cited by 97

Authors
Birch, G. E., Bozorgzadeh, Z., & Mason, S. G.
Affiliations
  • University of British Columbia (CA)
  • Neil Squire Society (CA)
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2002-12
Volume
10
Issue
4
Pages
219-224
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W2112090229
Cited by
97
References
16
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 3 · 2015: 4 · 2014: 7 · 2013: 6 · 2012: 8
FWCI
1.34
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords
brain-computer interface, motor imagery, spinal cord injury, high spinal cord injury, neural prostheses, environmental control systems, index finger flexion
MeSH terms
Action Potentials, Adult, Brain Mapping, Communication Devices for People with Disabilities, Electroencephalography, False Negative Reactions, False Positive Reactions, Fingers, Humans, Imagination, Male, Motor Neurons, Movement, Online Systems, Predictive Value of Tests, Sensitivity and Specificity, Spinal Cord Injuries, User-Computer Interface, Volition, Reproducibility of Results

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