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Stroke Damage Detection Using Classification Trees on Electrical Bioimpedance Cerebral Spectroscopy Measurements
Harvard University.ORCID iD: 0000-0002-0928-8501
University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.ORCID iD: 0000-0002-6995-967X
salhgrenska Hospital.
KTH-School of Technology and Health.ORCID iD: 0000-0003-4853-7731
2013 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 13, no 8, p. 10074-10086Article in journal (Refereed) Published
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2013. Vol. 13, no 8, p. 10074-10086
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Medical Engineering
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URN: urn:nbn:se:hb:diva-8616DOI: 10.3390/s130810074OAI: oai:DiVA.org:hb-8616DiVA, id: diva2:894720
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QC 20140123

Available from: 2016-01-15 Created: 2016-01-15 Last updated: 2018-04-05Bibliographically approved

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Atefi, Seyed RezaSeoane, FernandoLindecrantz, Kaj

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