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A Multidimensional Signal Processing Approach for Classification of Microwave Measurements with Application to Stroke Type Diagnosis

Seyed Hamed Yousefi Mesri (Institutionen för signaler och system) ; Masoud Khazaeli Najafabadi (Institutionen för signaler och system) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling)
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11), Boston, MA, AUG 30-SEP 03, 2011 (1557170X). p. 6465-6469. (2011)
[Konferensbidrag, refereegranskat]

A multidimensional signal processing method is described for detection of bleeding stroke based on microwave measurements from an antenna array placed around the head of the patient. The method is data driven and the algorithm uses samples from a healthy control group to calculate the feature used for classification. The feature is derived using a tensorapproach and the higher order singular value decomposition is a key component. A leave-one-out validation method is used to evaluate the properties of the method using clinical data.

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Denna post skapades 2011-10-03. Senast ändrad 2015-05-04.
CPL Pubid: 146769


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