@article{BaierHermanStephani2008-SOC,
	Abstract = {We introduce data sonification as a new means to efficiently deal with biomedical data of high complexity. The approach is motivated by a reflection on the capabilities of the human auditory system to extract relevant information from acoustic clues. Complex physiologic rhythms appear to be particularly suited for an auditory representation. We describe event-based sonification of rhythms as a specific technique for the analysis of temporal relationships, particularly for multivariate data. We present example sonifications from human EEG and discuss normal and pathologic rhythms. For improved performance we suggest the use of virtual auditory environments for sonifications of biomedical data. 
 
},
	Author = {Baier, Gerold and Hermann, Thomas and Stephani, Ulrich},
	Journal = {Journal of Biological Physics},
	Note = {submitted, to appear 2008, Special Issue "Complexity in Neurology and Psychiatry"},
	Title = {Sonification of Complex Biomedical Data},
	Year = {2008}}