Abstract
The paper analyses signals that have been measured by brain probes during surgery. First background noise is removed from the signals. The remaining signals are a superposition of spike trains which are subsequently assigned to different families. For this two techniques are used: classic PCA and code vectors. Both techniques confirm that amplitude is the distinguishing feature of spikes. Finally the presence of various types of periodicity in spike trains are examined using correlation and the interval shift histogram. The results allow the development of a visual aid for surgeons.
Original language | English |
---|---|
Title of host publication | Proceedings of the 63rd European Study Group Mathematics with Industry |
Subtitle of host publication | Enschede, The Netherlands, 28 January – 1 February, 2008 |
Editors | Onno Bokhove, Johann Hurink, Gjerrit Meinsma, Chris Stolk, Michel Vellekoop |
Place of Publication | Amsterdam |
Publisher | Centrum voor Wiskunde en Informatica |
Pages | 21-45 |
Number of pages | 25 |
ISBN (Print) | 978-90-365-2779-8 |
Publication status | Published - 2008 |
Event | 63rd European Study Group Mathematics with Industry, SWI 2008 - University of Twente, Enschede, Netherlands Duration: 28 Jan 2008 → 1 Feb 2008 Conference number: 63 |
Publication series
Name | CWI syllabus |
---|---|
Publisher | CWI (Centrum voor Wiskunde en Informatica) |
Conference
Conference | 63rd European Study Group Mathematics with Industry, SWI 2008 |
---|---|
Abbreviated title | SWI |
Country | Netherlands |
City | Enschede |
Period | 28/01/08 → 1/02/08 |
Keywords
- Spike sorting
- PCA
- interspike interval histogram
- IR-65335
- Deep Brain Stimulation
- METIS-255153
- EWI-14946