European Commission logo
español español
CORDIS - Resultados de investigaciones de la UE
CORDIS

Biomedical Data Fusion using Tensor based Blind Source Separation

Objetivo

"Summary: the quest for a general functional tensor framework for blind source separation

Our overall objective is the development of a general functional framework for solving tensor based blind source separation (BSS) problems in biomedical data fusion, using tensor decompositions (TDs) as basic core. We claim that TDs will allow the extraction of fairly complicated sources of biomedical activity from fairly complicated sets of uni- and multimodal data. The power of the new techniques will be demonstrated for three well-chosen representative biomedical applications for which extensive expertise and fully validated datasets are available in the PI’s team, namely:
• Metabolite quantification and brain tumour tissue typing using Magnetic Resonance Spectroscopic Imaging,
• Functional monitoring including seizure detection and polysomnography,
• Cognitive brain functioning and seizure zone localization using simultaneous Electroencephalography-functional MR Imaging integration.

Solving these challenging problems requires that algorithmic progress is made in several directions:
• Algorithms need to be based on multilinear extensions of numerical linear algebra.
• New grounds for separation, such as representability in a given function class, need to be explored.
• Prior knowledge needs to be exploited via appropriate health relevant constraints.
• Biomedical data fusion requires the combination of TDs, coupled via relevant constraints.
• Algorithms for TD updating are important for continuous long-term patient monitoring.
The algorithms are eventually integrated in an easy-to-use open source software platform that is general enough for use in other BSS applications.

Having been involved in biomedical signal processing over a period of 20 years, the PI has a good overview of the field and the opportunities. By working directly at the forefront in close collaboration with the clinical scientists who actually use our software, we can have a huge impact."

Convocatoria de propuestas

ERC-2013-ADG
Consulte otros proyectos de esta convocatoria

Régimen de financiación

ERC-AG - ERC Advanced Grant

Institución de acogida

KATHOLIEKE UNIVERSITEIT LEUVEN
Aportación de la UE
€ 2 500 000,00
Dirección
OUDE MARKT 13
3000 Leuven
Bélgica

Ver en el mapa

Región
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Tipo de actividad
Higher or Secondary Education Establishments
Investigador principal
Sabine Jeanne A Van Huffel (Prof.)
Contacto administrativo
Sofie Heroes (Ms.)
Enlaces
Coste total
Sin datos

Beneficiarios (1)