title: Latency change estimation for evoked potentials via frequency selective adaptive phase spectrum analyzer.
abstract: This paper addresses the problem of detecting and estimating latency changes in evoked potentials (EP's). EP's have been widely used to quantify neurological system properties. Transient and time-varying changes in latency may indicate impending neurological injury. Traditional time averaging and correlation methods for EP latency estimation are inefficient under low signal-to-noise ratio (SNR) and/or strong periodic interference conditions. This paper proposes an adaptive phase spectral time delay estimation method to detect and estimate the time-varying latency changes when both the SNR and the signal-to-interference ratio (SIR) are low. A theoretical analysis and computer simulation demonstrate that the proposed method can track the time-varying latency changes effectively and accurately when both the SNR and the SIR are as low as -5 dB. The method is also suitable for real time detection and estimation of the latency changes.
authors.affiliation: Department of Electrical Engineering, Northern Illinois University, DeKalb 60115, USA. kong@ceet.niu.edu
authors.forename: X
authors.initials: X
authors.lastname: Kong
authors.forename: T
authors.initials: T
authors.lastname: Qiu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005071:Evoked Potentials / Q000502:physiology*; D008959:Models, Neurological; D011930:Reaction Time / Q000502:physiology; D012815:Signal Processing, Computer-Assisted