CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Classification of Microwave Scattering Data based on a Subspace Distance with Application to Detection of Bleeding Stroke

Mohammad Ali Khorshidi (Institutionen för signaler och system, Signalbehandling) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling) ; Mikael Persson (Institutionen för signaler och system, Bioeffekter) ; Hana Dobsicek Trefna (Institutionen för signaler och system, Bioeffekter)
2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009; Aruba; Netherlands; 13 December 2009 through 16 December 2009 p. 301-304. (2009)
[Konferensbidrag, refereegranskat]

This paper demonstrates the usefulness of a classifier based on a subspace distance for the detection of bleeding stroke based on microwave scattering measurements from an antenna array placed around the skull. This discriminating classifier is suitable for high dimensional data applications when the number of training data samples is less than the data dimension. The proposed classifier was tested on both clinical and experimental data to separate bleeding subjects from non-bleeding ones. A pseudo-inverse Mahalanobis distance based classifier and a classifier based on the Euclidean distance were used on clinical data for the purpose of comparison with the proposed classifier.



Denna post skapades 2010-01-15. Senast ändrad 2016-05-30.
CPL Pubid: 107680

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)
Institutionen för signaler och system, Bioeffekter (2005-2010)

Ämnesområden

Signalbehandling

Chalmers infrastruktur