| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6951357 | Biomedical Signal Processing and Control | 2015 | 7 Pages |
Abstract
Our findings demonstrate that the utilizing of complexity measures with preprocessing approaches on EEG data to analyze schizophrenics' brain dynamics might be a useful and discriminative tool for diagnostic purposes. Therefore, we expect that nonlinear analysis will give us more valuable results for understanding of schizophrenics' brain.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Saime Akdemir Akar, Sadık Kara, Fatma LatifoÄlu, Vedat Bilgiç,