A Multidimensional Signal Processing Approach for Classification of Microwave Measurements with Application to Stroke Type Diagnosis
Paper i proceeding, 2011

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.


Seyed Hamed Yousefi Mesri

Chalmers, Signaler och system

Masoud Khazaeli Najafabadi

Chalmers, Signaler och system

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

1557170X (ISSN)

6465-6469 6091596
978-1-4244-4122-8 (ISBN)


Medicinsk laboratorie- och mätteknik


Innovation och entreprenörskap


Livsvetenskaper och teknik (2010-2018)



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