[The development of algorithms for adaptive latency change detection of evoked potentials under alpha-stable noise conditions].
The latency change detection of EPs is of special interest in many clinical applications such as diagnosis of the injury and pathological changes in the nervous system. This paper reviews the adaptive latency change detection approaches under stable noise conditions, based on the fractional lower order statistics. It also evaluates and compares the performances of the presented algorithms.
Ding
Xuejun
X
Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
Qiu
Tianshuang
T
D000465:Algorithms; D000818:Animals; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D011930:Reaction Time / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted