Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Hayn, D; Riedel, A; Falgenhauer, M; Fruhwald, F; Schreier, G.
VALIDATION OF DIFFERENT PARAMETERS EXTRACTED FROM 3D IMAGES FOR LEG OEDEMA DETECTION
BIOMED ENG-BIOMED TE. 2013; 58:
Doi: 10.1515/bmt-2013-4244
Web of Science
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- Co-Autor*innen der Med Uni Graz
- Fruhwald Friedrich
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- Abstract:
- Heart failure patients discharged after cardiac decompensation are often re-admitted to hospital within several weeks. It is known that most of these early re-admissions are avoidable, but even state-of-the-art home monitoring shows limited success rates. Therefore, innovative sensor techniques for home-monitoring are needed. Early detection of leg oedema might improve current home-monitoring approaches. We compared different methods for extraction of oedema related parameters from 3D images. Best performing parameters showed correlation factors of up to 0.58 as compared to body weight changes which indicates that 3D oedema detection could significantly improve home monitoring of heart failure patients, leading to less severe events and higher quality of life for affected patients.
- Find related publications in this database (Keywords)
- eHealth
- Home-Monitoring
- Heart failure
- 3D imaging
- Leg oedema