Application of a novel measure of EEG non-stationarity as 'Shannon- entropy of the peak frequency shifting' for detecting residual abnormalities in concussed individuals.

摘要: Abstract Objective The aim of this report was to propose a novel measure non-stationarity EEG signals, named Shannon- entropy the peak frequency shifting (SEPFS). feasibility method documented comparing with traditional time domain assessment and its application data sets obtained from student-athletes before after suffering single episode mild traumatic brain injury (mTBI) age-matched normal controls. Methods Instead assessing power density distribution on time–frequency plane, like previously proposed measures signal non-stationarity, new is based shift dominant over time. We applied SEPFS assess properties in subjects shortly they suffered mTBI. Student-athletes at high risk for mTBI ( n =265) were tested prior concussive episodes as baseline. From subject pool, 30 athletes who retested day post-injury. Additional pool (student-athletes without history concussion, =30) recruited test–re-tested within same 30day interval. Thirty-two channels signals acquired sitting eyes closed condition. Results results showed that values significantly decreased Specifically, reduced observed occipital, temporal central areas, indicating possibility residual dysfunctions concussed individuals. A similar but less statistically significant trend using analysis non-stationarity. Conclusions has least two merits interest: (1) it affected by limited resolution representation signal; (2) takes into account neural characteristics have not been considered Significance This may potentially be used complementary tool alteration functions result