An efficient method for quantifying the multichannel EEG spatial-temporal complexity

Pei-Chen Lo, Wen-Po Chung
2001 IEEE Transactions on Biomedical Engineering  
The complexity index ( ) quantifies the intrinsic dimensionality of the global complexity of a point set, and was shown to be able to characterize electroencephalogram spatial-temporal features. The complexity index is conceptually comprehensible and easily implemented, yet, it is time consuming. In this paper, we present an efficient computational method based on the projection of the high-dimensional state-space points onto a one-dimensional axis. The computational time decreases by at least
more » ... 0%, without affecting the measure accuracy. Index Terms-Complexity index, global waveform complexity, intrinsic dimension, multichannel EEG (electroencephalogram), spatial-temporal feature, state-space trajectory. and NIH-N01-NS-8-2312. Asterisk indicates corresponding author. *B. Ziaie is with the
doi:10.1109/10.914803 pmid:11327508 fatcat:2cdiy3e3pjatnpaqqxbe5fqvri