|22 Sep 2010
Ledalab currently provides two EDA analysis methods:
(1) A decomposition of SC data into continuous signals of phasic and tonic activity. The former component aims at retrieving the signal characteristics of the underlying sudomotor nerve activity (SMNA). In Ledalab it is refered to as Continuous Decomposition Analysis. Cf. Benedek & Kaernbach, J Neurosc Methods, 2010.
(2) A decomposition of SC data into distinct phasic components and a tonic component by means of Nonnegative Deconvolution. Cf. Benedek & Kaernbach, 2010, Psychophysiology.
Ledalab can import various file formats and provides many preprocessing functions. Event-related analysis can be computed relative to events/marker.