Abstract / truncated to 115 words (read the full abstract)

Consciousness is a multifaceted construct that spans a continuum from wakefulness—characterized by responsiveness to external stimuli and cognitive engagement—to altered states, such as fatigue, sleep, and anesthesia, where individuals may experience decreased cognitive function or difficulty being easily aroused. Given its wide range of real-life applications and its origin in brain, a significant amount of research has focused on studying consciousness using brain imaging techniques, particularly electroencephalography (EEG). However, most studies have relied on conventional multichannel EEG systems, which, while effective, are expensive and impractical for daily use by individuals. This thesis aims to develop EEG-based algorithms for monitoring consciousness levels in real-world applications, focusing on low-cost portable EEG devices that offer a more accessible ... toggle 4 keywords

electroencephalogram – consciousness – wearable – nonlinear analysis

Follow @eurasip