Automatization techniques for processing biomedical signals using machine learning methods

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dc.contributor.author Artés Rodríguez, Antonio
dc.date.accessioned 2008-04-16T09:37:58Z
dc.date.available 2008-04-16T09:37:58Z
dc.date.issued 2008-04-15
dc.identifier.uri http://hdl.handle.net/10016/2443
dc.description.abstract The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals. The main advantages in this technology are the decreased cost, the time saved and the increased reliability of the results. Technical cooperation for the research and development with internal and external funding is sought.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries OO UC3M 36
dc.subject.other Image, image processing, model recognition
dc.subject.other Signal processing
dc.subject.other Medical technology / Biomedical engineering
dc.title Automatization techniques for processing biomedical signals using machine learning methods
dc.type report
dc.subject.eciencia Telecomunicaciones
dc.subject.ofertatecnologica Tecnologías de la información y las comunicaciones
dc.rights.accessRights openAccess
dc.contributor.departamento Universidad Carlos III de Madrid. Department of Signal Theory and Communications. Signal Processing Group
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