EEGderived
EEGderived refers to metrics, features, and analyses derived from electroencephalography (EEG) data. In research and clinical contexts, EEG-derived measurements are used to quantify brain activity, detect abnormal patterns, or serve as inputs to predictive models. The term emphasizes the transformation of raw EEG signals into interpretable quantities.
Common EEG-derived features include spectral power in standard bands (delta, theta, alpha, beta, gamma), event-related potentials
Processing typically involves data collection with scalp electrodes, preprocessing to remove artifacts (eye movements, muscle activity)
Applications span clinical and research domains, including epilepsy detection and monitoring, sleep staging, cognitive workload assessment,
Challenges include inter-individual variability, sensitivity to preprocessing choices, and the need for standardized reporting. Initiatives such