Segmentation of quasiperiodic patterns in EEG recordings for analysis of post-traumatic paroxysmal activity in rat brains

• Published in: Pattern recognition and image analysis Vol. 27; no. 4; pp. 789 - 803
• Main Authors: Antsiperov, V. E., Obukhov, Yu. V., Komol’tsev, I. G., Gulyaeva, N. V.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.10.2017; Springer Nature B.V
• Subjects: Applied Problems; Brain damage; Cellular communication; Computer Science; Dynamic characteristics; Epilepsy; Fragmentation; Fragments; Head injuries; Image Processing and Computer Vision; Injury analysis; Neural networks; Pattern Recognition; Periodic variations; Plastic foam; Rats; Restoration; Segmentation; Seizures; Structural damage; Trauma; Traumatic brain injury; EEG rhythms; post-traumatic epilepsy; estimation of a local period; analysis of nonstationary signals; detection of quasiperiodic fragments; rat model of the traumatic brain injury

The study of the consequences of traumatic brain injury represents an important problem in modern medicine. Brain trauma leads to the manifestation of neurological and psychiatric disturbances in most patients; severe traumatic brain injuries are accompanied by paroxysms and neurologic impairment, w...