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Assessment and Communication for People with Disorders of Consciousness

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Published on: August 1, 2017

A review of rapid serial visual presentation-based brain-computer interfaces.

Stephanie Lees¹, Natalie Dayan, Hubert Cecotti

¹Faculty of Computing and Engineering, Ulster University, Belfast, United Kingdom.

Journal of Neural Engineering

|November 4, 2017

Summary

This summary is machine-generated.

Rapid serial visual presentation (RSVP) with event-related potentials (ERPs) detected via electroencephalography (EEG) aids information selection. This review explores RSVP-based brain-computer interfaces (BCIs) for enhanced human-computer interaction and data sorting.

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Area of Science:

Neuroscience
Human-Computer Interaction
Biomedical Engineering

Background:

Rapid serial visual presentation (RSVP) is a method for presenting visual information at high speeds.
Event-related potentials (ERPs), measured using electroencephalography (EEG), reflect neural activity in response to specific stimuli.
Brain-computer interfaces (BCIs) offer a pathway for direct communication between the brain and external devices.

Purpose of the Study:

To comprehensively review and evaluate the existing literature on RSVP-based BCIs.
To categorize applications of RSVP-based BCIs based on display mode and protocol.
To analyze factors influencing ERP evocation and detection within RSVP paradigms.

Main Methods:

Literature review and synthesis of research on RSVP-based BCIs.
Analysis of factors affecting ERPs in RSVP tasks.
Categorization of RSVP-BCI applications and protocols.

Main Results:

RSVP coupled with ERP detection enables efficient selection of relevant information from rapid visual streams.
Pre-attentive processing aids target identification through time-locked EEG potentials.
Existing research, though limited, demonstrates significant potential for RSVP-based BCIs.

Conclusions:

RSVP-based BCIs can augment human-machine symbiosis and optimize information sorting.
Guidelines are recommended for standardizing methods and enhancing experimental design.
Further research is encouraged to advance the practical application of RSVP-based BCIs.