@article{RealKotchoubeyKuebler2014,
  author    = {Real, Ruben G. L. and Kotchoubey, Boris and K{\"u}bler, Andrea},
  title     = {Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data},
  doi       = {10.3389/fnins.2014.00279},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113581},
  year      = {2014},
  abstract  = {This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.},
  language  = {en}
}
@inproceedings{OPUS4-14713,
  title     = {Research Network on Methodology for the Analysis of Social Interaction. Proceedings of the ninth meeting of MASI.},
  editor    = {Brill, Michael and Jonsson, Gudberg and Schwab, Frank},
  isbn      = {978-3-945459-16-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-147135},
  year      = {2017},
  abstract  = {T-pattern analysis supports studies of various aspects of human or animal behavior as well as interaction between human subjects and animal or artificial agents. The following proceedings give an overiew on the application of T-pattern analysis in different research fields like media, gaming, human behaviour, social and organisational interaction as well as sports and health.},
  subject      = {Verhaltensmuster},
  language  = {en}
}