Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible
Journal article, 2014

Here, we present two different brain diagnostic devices based on microwave technology and the associated two first proof-of-principle measurements that show that the systems can differentiate hemorrhagic from ischemic stroke in acute stroke patients, as well as differentiate hemorrhagic patients from healthy volunteers. The system was based on microwave scattering measurements with an antenna system worn on the head. Measurement data were analyzed with a machine-learning algorithm that is based on training using data from patients with a known condition. Computer tomography images were used as reference. The detection methodology was evaluated with the leave-one-out validation method combined with a Monte Carlo-based bootstrap step. The clinical motivation for this project is that ischemic stroke patients may receive acute thrombolytic treatment at hospitals, dramatically reducing or abolishing symptoms. A microwave system is suitable for prehospital use, and therefore has the potential to allow significantly earlier diagnosis and treatment than today.

Microwave system

subspace distance classification

stroke diagnostics

Author

Mikael Persson

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

Andreas Fhager

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Hana Dobsicek Trefna

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Yinan Yu

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

Tomas McKelvey

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

Göran Pegenius

University of Gothenburg

Jan-Erik Karlsson

Sahlgrenska University Hospital

Mikael Elam

University of Gothenburg

IEEE Transactions on Biomedical Engineering

0018-9294 (ISSN)

Vol. 61 11 2806-2817 6832574

Subject Categories

Physiology

DOI

10.1109/tbme.2014.2330554

More information

Latest update

4/17/2018