Andreas Tind Damgaard
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Andreas Tind Damgaard Department of Electrical and Computer Engineering
Biomedical Engineering Finlandsgade 22
Building 5125, room 331
8200 Aarhus N
Denmark
Profile
PhD student in engineering at the Department of Electrical and Computer Engineering (ECE), Aarhus University, affiliated with the Center for Ear-EEG and the Section for Biomedical Engineering. Supervised by Professor Preben Kidmose (ECE) and Clinical Professor Per Borghammer (Lundbeck Foundation Parkinson's Disease Research Center, PACE). Holds a B.Sc. and an M.Sc. in Data Science from Aarhus University.
Research
My PhD project develops machine learning methods that detect early signs of Parkinson's disease in sleep. The focus is REM sleep behavior disorder (RBD), the strongest early warning sign, which today requires a night in a sleep lab and manual expert scoring. I work on moving diagnosis into the patient's home, using a few self-applied electrodes and fully automated, deep learning-based analysis.