Detection of Saccades and Postsaccadic Oscillations in the Presence of Smooth Pursuit
Research output: Contribution to journal › Article
A novel algorithm for detection of saccades and postsaccadic oscillations in the presence of smooth pursuit movements is proposed. The method combines saccade detection in the acceleration domain with specialized on- and offset criteria for saccades and postsaccadic oscillations. The performance of the algorithm is evaluated by comparing the detection results to those of an existing velocity-based adaptive algorithm and a manually annotated database. The results show that there is a good agreement between the events detected by the proposed algorithm and those in the annotated database with Cohen’s kappa around 0.8 for both a development and a test database. In conclusion, the proposed algorithm accurately detects saccades and postsaccadic oscillations as well as intervals of disturbances.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||IEEE Transactions on Biomedical Engineering|
|Publication status||Published - 2013|
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Humanities Lab (015101200), Signal Processing (LUR000032), Department of Electroscience (011041000), Departments at LTH (011200000)