Abstract
Accurate detection and characterization of changes in EEG signal is crucial for clinical assessment of the neurological system condition. Several distance measures are tested and evaluated for their effectiveness of detecting injury-related changes in EEG. Itakura distance is found to be a very efficient means to characterize changes in EEG for both signaling injury and predicting recovery. The efficiency of the Itakura distance measure is further established through a comparison study of spectral distance measure and KL information.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2947-2950 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 5 |
| State | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Duration: May 9 1995 → May 12 1995 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering