The present study aims at the use of the translation errors of the EEG signals as criteria for brain death diagnosis. Since the EEG signals of the patients in coma or brain death contain several kinds of sources that differ from the viewpoint of determinism, we can exploit the difference of the translation errors for brain death diagnosis. We also show that the translation errors of the post-ICA EEG signals are more reliable than the ones of the pre-ICA EEG signals. © 2011 Springer-Verlag.
CITATION STYLE
Hori, G., & Cao, J. (2011). An application of translation error to brain death diagnosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7062 LNCS, pp. 314–321). https://doi.org/10.1007/978-3-642-24955-6_38
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