Using human extra-cortical local field potentials to control a switch
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Summary
This work describes an almost locked-in human subject with ALS who activated a switch using online time domain detection techniques and Frequency domain analysis of his LFP activity demonstrates this to be an alternative method of detecting switch activation intentions.
- Type
- article
- Published
- 2004-06-01
- Cited by
- 102
- References
- 11
- Access
- Open access
- OpenAlex
- https://openalex.org/W1967065876
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5658262
Keywords
Brain–computer interface, Scalp, Computer science, Local field potential, Electroencephalography
References
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- Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
- Brain-computer interface (BCI) operation: optimizing information transfer rates.
- Graz-BCI: state of the art and clinical applications
- Computer control using human intracortical local field potentials
- Direct control of a computer from the human central nervous system.
- Direct Cortical Control of 3D Neuroprosthetic Devices
- Instant neural control of a movement signal
Cited by
- The promise and threat of modern cybernetics.
- Tongue drive: a wireless tongue-operated assistive technology for people with severe disabilities
- Accessibility and manipulation of brain signals for neuroprosthetic applications
- Pattern identification of movement related states in biosignals
- Therapeutic potential of computer to cerebral cortex implantable devices.
- Human Ipsilateral Motor Physiology and Neuroprosthetic Applications in Chronic Stroke
- Interaction paradigms for brain-body interfaces for computer users with brain injuries
- Low-power, implantable sensing system for signal detection from the central or peripheral nervous system
- Making the lifetime connection between brain and machine for restoring and enhancing function
- An attempt to extend human sensory capabilities by means of implant technology
- Electrophysiological CNS-processes related to associative learning in humans.
- Synchronous stereo-video and biosignal recording - a basic setup for Human-Computer-Interface applications
- Accurate decoding of reaching movements from field potentials in the absence of spikes
- Introduction and preliminary evaluation of the Tongue Drive System: wireless tongue-operated assistive technology for people with little or no upper-limb function.
- Decoding continuous three-dimensional hand trajectories from epidural electrocorticographic signals in Japanese macaques
- Comparing temporal aspects of visual, tactile, and microstimulation feedback for motor control
- Encoding-based brain-computer interface controlled by non-motor area of rat brain
- Upgrading Humans Via Implants - Why Not?
- Decoding rat forelimb movement direction from epidural and intracortical field potentials
- 3D Parylene sheath neural probe for chronic recordings
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