A Multidimensional Signal Processing Approach for Classification of Microwave Measurements with Application to Stroke Type Diagnosis
Paper in proceedings, 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, Signals and Systems

Masoud Khazaeli Najafabadi

Chalmers, Signals and Systems

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

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

1557170X (ISSN)

6465-6469 6091596

Subject Categories

Medical Laboratory and Measurements Technologies

Driving Forces

Innovation and entrepreneurship

Areas of Advance

Life Science Engineering (2010-2018)





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