Biomedical Signal Processing

The Biomedical Signal Processing Research Group investigates the use of signal processing techniques for the analysis, modeling, and classification of biomedical signals and data with special emphasis on ECG, EMG, EEG signals, as well as fMRI images.

Currently, our research is focused on Brain Computer Interface (BCI) - a direct communication pathway between the brain and external devices in order to assist, augment or repair human cognitive or sensory-motor functions.

Other pivotal research areas are EEG-fMRI data fusion to develop a patient-specific, causal computational 3D model of distributed brain activity and connectivity patterns in the human brain and neurodegenerative disease research to develop new methods for monitoring, detecting and identifying early biomarkers for neurodegenerative diseases (Parkinson, Narcolepsy, MSA, Alzheimer, Dementia).

Our team is multidisciplinary and includes Associate Professor Sadasivan Puthusserypady, Associate Professor Helge Bjarup Dissing Sørensen and several Phd students.

Watch Associate Professor Helge Bjarup Dissing Sørensen and Chief Physician Troels Kjær share their research and visions for the future:

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