Correlation of P300 ERPs with visual stimuli and its application to vigilance detection

Abstract

Vigilance or sustained attention is defined as the ability to maintain concentrated attention over prolonged time periods. It is an important aspect in industries such as aerospace and nuclear power, which involve tremendous man-machine interaction and where safety of any component/system or environment as a whole is extremely crucial. Many methods for vigilance detection, based on biological and behavioral characteristics, have been proposed in the literature. Nevertheless, the existing methods are associated with high time complexity, unhandy devices and incur huge equipment overhead. This paper aims to pave an alternative solution to the existing techniques using brain computing interface (BCI). EEG device being a non-invasive BCI technique is popular in many applications. In this work, we have utilized P300 component of ERPs of EEG signal for vigilance detection task as it can be detected fast and accurately. Through this work, we aim to establish the correlation between P300 ERP and vigilance. We have performed a number of experiments to substantiate the correctness of our proposal and have also proposed an approach to measure the vigilance level.

Procesamiento embebido de p300 basado en red neuronal convolucional para interfaz cerebro-computadora ubicua

“…Se generó una base de datos con 8 sujetos sanos de 21-25 años del laboratorio de investigación "Percepción Visual con Aplicaciones en Robótica" del Tecnológico Nacional de México / Instituto Tecnológico de Chihuahua seleccionados voluntariamente, siete de sexo masculino y una del sexo femenino. Del grupo de sujetos, fueron seleccionados con estas características debido a que se utiliza comúnmente este rango de edades y proporciones en la literatura (Kuziek et al, 2017;Samima et al, 2017;Zhang et al, 2016). A cada sujeto se le realizaron 48 sesiones, las cuales generaron 48 señales s(n) y cada una de ellas corresponde en haber fijado la mirada en cada uno de los estímulos.…”

“…Esta etapa consiste en generar un arreglo de señales promedio que miden la presencia de la onda P300 después de cada estímulo j. Para ello, primero se descompone s u (n) en 60 fragmentos de 400 ms, que van desde los 100 ms a 500 ms después de la intensificación de cada estímulo. Es decir, cada señal su(n) se descompone en 60 fragmentos con intervalos de 400 ms, ya que en ese intervalo de tiempo es cuando se presenta la onda P300 (Samima et al, 2017). Debido a que la frecuencia de muestreo es 250Hz, cada fragmento se compone de 100 muestras.…”

Detecting Vigilance in People Performing Continual Monitoring Task

“…Furthermore, as vigilance deteriorates with time it seems plausible to study the brain signals in time bound fashion to assess the vigilance status in real-time. In this regard, the Event Related Potentials (ERPs) present in the EEG signals have successfully been utilized to study the changes occurring in the human brain with passing time [10]. For instance, ERP features namely P100-N200 have been utilized for studying emotional information processing in [11]; frontal midline theta and N200 ERP have been shown to reflect complementary information about expectancy and outcome evaluation in [12]; in [13] authors utilized N200 ERP for word recognition; in [14], N100, P200, N200 and P300 ERP components have been used to study the impact of depression on attention.…”