Extracting Blink Rate Variability from EEG Signals

2016/03/09 by Rafal Paprocki, Paprocki, Rafal, Temesgen Gebrehiwot +5 · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #Blind Source Separation Techniques #Chaos control and synchronization #FOS: Biological sciences #FOS: Physical sciences #Medical Physics (physics.med-ph) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.1603.03031

openalex publication_date 2016/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Generally, blinks are treated on equal with artifacts and noise while analyzing EEG signals. However, blinks carry important information about mental processes and thus it is important to detect blinks accurately. The aim of the presented study is to propose a blink detection method and discuss its application for extracting blink rate variability, a novel concept that might shed some light on the mental processes. In this study, 14 EEG recordings were selected for assessing the quality of the proposed blink detection algorithm.

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• Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective

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