We introduce here Saccade Metrics, an automated program that we have developed in-house at Saccade Diagnostics. Saccade Metrics summarise pro and antisaccade features with minimal manual intervention.
Features of Saccade Metrics
Reads binary EDF data for an individual
Converts binary data to ASC format
Creates plots of eye movement data across time for each trial
Captures important events of eye movement data
Compares the events with manual recording system
Summarises eye movement variables for each trial
Summarises eye movement variables for each individual
Creates summary plots and summary statistics for each phenotype
Prosaccade data
Summary outputs of eye recording of an individual trial of a participant
Antisaccade data
Summary outputs of antisaccade eye recording of an individual trial of a participant
Advantage of Saccade Metrics
Automated with minimal inputs from users
Fast and efficient compared to manual method
Outputs are consistent with manual method
Incorporates default inputs threshold parameters
Flexible to changes in input parameter values
Provides summary variables at trial and individual level
Creates summary plots and statistics
Outputs are accurate, operator-independent and reproducible
Potentials to discriminate between phenotypes