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Biomedical signal processing

The research in the field of Biomedical signal processing at the Department of Biomedical engineering deals with processing of biomedical signals and related data, modelling of biological phenomena, and data-driven approaches to diagnostics and treatment outcome prediction. The group combines expertise in signal processing and machine-learning methodology to provide novel solutions to industry and hospitals.

The Biomedical signal processing group gives courses in the following areas (external links):

Signals and systems

Optimal and adaptive signal processing

Biomedical signal processing

Project - from idea to app

Introduction to Biomedical engineering

E-health

Data-driven health


A broad range of master projects related to biomedical engineering, signal processing, e-health and data-driven health have been supervised by the group members during recent years (external link):
Masters projects.

The research group is part of the European MSCA (MARIE SKŁODOWSKA-CURIE ACTIONS) network INSIDE-HEART -MultI-discipliNary, multi-Sectoral and multi-national trainIng network on Digital biomarkErs for supraventricular arrHythmia charactErizAtion and Risk assessmenT.
    www.inside-heart.eu

 

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Principal Investigators

Frida Sandberg

Frida Sandberg,
Associate Professor

E-mail me
046- 222 9575

Office:

E-house, room E1347a.

Research description, publications
(LU Research Portal, external link).

Martin Stridh

Martin Stridh,
Associate Professor

E-mail me
046- 222 4561

Office:

E-house, room E1349a.

Research description, publications
(LU Research Portal, external link).

Leif Sörnmo

Leif Sörnmo,
Professor em.

E-mail me
046- 222 9023

Office:

E-house, room E1343a.

Research description, publications
(LU Research Portal, external link.)

PhD Students

             Mostafa Abdollahpur
            Mostafa.Abdollahpur@bme.lth.se


               Mattias Karlsson
             Mattias.Karlsson@med.lu.se


                Felix Plappert
            Felix.Plappert@bme.lth.se


                  Ricardo Salinas
             Ricardo.Salinas@bme.lth.se


                Hesam Halvaei
            Hesam.Halvaei@bme.lth.se