An Exploratory Study of Factors Affecting Single Trial P300 Detection

2004/05/25 by Bart Jansen, B.H. Jansen, A. Allam +5 · 9 citations
Neuroscience · Medicine · #EEG and Brain-Computer Interfaces #Heart Rate Variability and Autonomic Control #ECG Monitoring and Analysis

paper · doi:10.1109/tbme.2004.826684

Abstract

A threshold detector for single-trial P300 detection has been evaluated. The detector operates on the 0-4 Hz band, isolated from the raw electroencephalogram using low-pass filtering, wavelet transforms, or the piecewise prony method (PPM). A detection rate around 70% was found, irregardless of stimulus type, interstimulus interval (ISI), probability of occurrence (Pr) of the target stimuli, intrasession and intersession effects, or filtering method. This suggests that P300-based brain-machine interfaces can use an ISI as short as 1 s and a Pr of 45%, to increase throughput.

Citations

• Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials

Cited by

• Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease. [europepmc]
• Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system. [europepmc]
• An adaptive P300-based control system. [europepmc]
• Targeting an efficient target-to-target interval for P300 speller brain-computer interfaces. [europepmc]
• An Intelligent Man-Machine Interface-Multi-Robot Control Adapted for Task Engagement Based on Single-Trial Detectability of P300. [europepmc]
• Stacked Autoencoders for the P300 Component Detection. [europepmc]
• A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. [europepmc]
• "You Have Reached Your Destination": A Single Trial EEG Classification Study. [europepmc]
• Novel hybrid brain-computer interface system based on motor imagery and P300. [europepmc]

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