title: Automatic Parametrization of Somatosensory Evoked Potentials With Chirp Modeling.
abstract: In this paper, an approach using polynomial phase chirp signals to model somatosensory evoked potentials (SEPs) is proposed. SEP waveforms are assumed as impulses undergoing group velocity dispersion while propagating along a multipath neural connection. Mathematical analysis of pulse dispersion resulting in chirp signals is performed. An automatic parameterization of SEPs is proposed using chirp models. A Particle Swarm Optimization algorithm is used to optimize the model parameters. Features describing the latencies and amplitudes of SEPs are automatically derived. A rat model is then used to evaluate the automatic parameterization of SEPs in two experimental cases, i.e., anesthesia level and spinal cord injury (SCI). Experimental results show that chirp-based model parameters and the derived SEP features are significant in describing both anesthesia level and SCI changes. The proposed automatic optimization based approach for extracting chirp parameters offers potential for detailed SEP analysis in future studies. The method implementation in Matlab technical computing language is provided online.
authors: Eero
authors: E
authors: Vayrynen
authors: Kai
authors: K
authors: Noponen
authors: Ashwati
authors: A
authors: Vipin
authors: X Y
authors: XY
authors: Thow
authors: Hasan
authors: H
authors: Al-Nashash
authors: Jukka
authors: J
authors: Kortelainen
authors: Angelo
authors: A
authors: All
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D056805:Consciousness Monitors; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000379:methods*; D005073:Evoked Potentials, Somatosensory / Q000502:physiology*; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D051381:Rats; D012984:Software; D013003:Somatosensory Cortex / Q000502:physiology*; D013119:Spinal Cord Injuries / Q000503:physiopathology