Abstract
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.
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Hori, G., Cao, J. (2011). An Application of Translation Error to Brain Death Diagnosis. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24955-6_38
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DOI: https://doi.org/10.1007/978-3-642-24955-6_38
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