A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

By Femke Nijboer, Eric W. Sellers, Jürgen Mellinger, M. Jordan, Tamara Matuz, Adrian Furdea, Sebastian Halder, U. Mochty, Dean J. Krusienski, Theresa M. Vaughan and 3 more. Clinical Neurophysiology, 2008

668 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/f7014b2240699af3005da2915eba8acfb62aade8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Neurology

In Human-Computer Interaction

Citations in the corpus

A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation (2009, neutral): “So far, systems based on human EEG have been used to control a mouse on the screen [4], for communication like a speller [1], [5], an Internet browser [6], [7], etc.”
(C)overt attention and visual speller design in an ERP-based brain-computer interface (2010, methodology): “Second, successful communication using ERP-based visual spellers has been demonstrated in ALS patients [21,22], but in progressed stages of the disease, oculomotor control can deteriorate.”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, background): “The P300 component of the response to a visual stimulus, also called P3 (206, 637), has been particularly popular in BMI designs (10, 15, 16, 34, 54, 209, 243, 246, 257, 285, 363, 406, 521, 538, 545, 590, 717, 735, 736, 787, 832) because of its high sensitivity to subjects’ reaction to the stimulus ”
An auditory oddball (P300) spelling system for brain-computer interfaces. (2009, methodology): “…signal for BCI in 1988 by Farwell and Donchin, the P300 component of the event-related potential (ERP) has been recently explored intensively with regards to its triggering, detection, usability for communication, and habituation during long-term use (Nijboer et al., 2008; Sellers & Donchin, 2006).”
P300 brain computer interface: current challenges and emerging trends (2012, methodology): “The BP and Intendix systems described above were validated with ALS users in their home settings, as were other P300 BCI systems (Sellers et al., 2006, 2010; Vaughan et al., 2006; Nijboer et al., 2008).”
A brain-computer interface for long-term independent home use (2010, methodology): “Guided by initial studies in people severely disabled by ALS (2,8,11), we have developed an EEG-based BCI system that is suitable for independent home use.”
Flashing characters with famous faces improves ERP-based brain–computer interface performance (2011, methodology): “…control and thus, have been found to be particularly useful for patients diagnosed with amyotrophic lateral sclerosis (ALS) who experience a gradual loss of control over voluntary muscular movement due to motor neuron degeneration (Birbaumer et al 1999, K¨ubler et al 2001a, Nijboer et al 2008).”
Bridging the brain to the world: a perspective on neural interface systems. (2008, positive): “Beta oscillations appear in primary motor cortex (MI) in able-bodied monkeys (Baker et al., 2003; Donoghue et al., 1998; Murthy and Fetz, 1996 ) and in humans with paralysis (Hochberg et al., 2006), where they, rather than spiking patterns, mark the transition from preparation to intended action.”
A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue (2010, methodology): “[22] showed that this paradigm can be successfully used by ALS patients.”
Event-related (De)synchronization (ERD/ERS) during motor imagery tasks: Implications for brain–computer interfaces (2011, background): “…muscle control, but are cognitively intact, by allowing them to write sentences (Birbaumer, 1997; Donchin et al., 2000; Scherer et al., 2004; Nijboer et al., 2008; Kübler and Birbaumer, 2008), move a cursor on the computer screen (Wolpaw et al., 2002), play an electronic pingpong game…”
A comprehensive review of EEG-based brain–computer interface paradigms (2019, positive): “The main advantage of P300 spellers has been their usefulness to people with ALS [92, 111, 112] and brainstem stroke [113].”
How many people are able to control a P300-based brain-computer interface (BCI)? (2009, neutral): “Working with four subjects disabled by amyotrophic lateral sclerosis (ALS) Nijboer reported online accuracy of 79% [10].”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “Sellers et al. [19] and Nijboer et al. [92] have reported that ALS patients are able to communicate using a P300 speller.”
A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients (2009, background): “28 On the other hand, the results of patient 4 indicate that even a low peak amplitude of around 1 μ V may be sufﬁcient for above-chance classiﬁcation.”