Wei, Hua-LiangGuo, YuzhuHe, FeiZhao, Yifan2025-02-202025-02-202025-02-01Wei H-L, Guo Y, He F, Zhao,Y. (2025) EEG signal processing techniques and applications—2nd Edition. Sensors, Volume 25, Issue 3, February 2025, Article number 8051424-8220https://doi.org/10.3390/s25030805https://dspace.lib.cranfield.ac.uk/handle/1826/23483Electroencephalography (EEG), as a well-established, non-invasive tool, has been successfully applied to a wide range of conditions due to its many evident advantages, such as economy, portability, easy operation, easy accessibility, and widespread availability in hospitals. EEG signals, with ultra-high time resolution, are vital in understanding brain functions. Traditionally, considerable attention in EEG signal processing and analysis has been paid to understanding brain activities from various perspectives, such as the detection and identification of abnormal frequencies in specific biological states, spatial–temporal and morphological characteristics of neurological disorder behaviours (e.g., paroxysmal or persistent discharges), the response of the brain nervous/neurological system to external stimuli, and the effects and responses to intermittent photic stimulation [1].enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/4606 Distributed Computing and Systems Software46 Information and Computing SciencesAnalytical Chemistry3103 Ecology4008 Electrical engineering4009 Electronics, sensors and digital hardware4104 Environmental managementArticle1424-8220563515805253