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Preben Kidmose

Ingeniørdocent

Preben Kidmose
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Profil

Preben Kidmose was born in Sønderborg, Denmark in 1972. He received a B.Sc. degree in electrical engineering from University of Southern Denmark (Engineering College Sønderborg Teknikum) in 1995, the M.Sc. degree in engineering from Technical University of Denmark in 1998, and the Ph.D. degree in signal processing from Technical University of Denmark in 2001. From 2001 – 2011 he was employed by Widex A/S, Denmark, as R&D engineering within hearing aids and medical devices. He is currently Professor (Danish: Ingeniørdocent) in biomedical technology at Aarhus School of Engineering/Department of Engineering at Aarhus University. His areas of interest include signal processing in medical devices, audio signal processing, machine learning, medical instrumentation and sensors, and system engineering/design of medical devices.

Profil

Profile
Associate Professor in electrical and biomedical engineering, Department of Engineering at Aarhus University. 18 years of professional experience: 10 years from medical device industry and 8 years from academia. Leader of the Bioelectrical Instrumentation and Signal Processing research group, and the Neurotechnology Lab, within the Section for Electrical and Computer Engineering at Department of Engineering.

Biography
Received the B.Sc. degree in Electrical Engineering from University of Southern Denmark (Engineering College Sønderborg Teknikum) in 1995, the M.Sc. degree in Control Engineering from Technical University of Denmark in 1998, and the Ph.D. degree in Signal Processing from Technical University of Denmark in 2002. From 2001 – 2011 he was employed at Widex A/S (hearing aid company), Denmark, as R&D engineer within hearing aids and medical devices. He is currently Associate Professor (Danish: Ingeniørdocent) at Department of Engineering at Aarhus University.

Research Interests
Signal processing and machine learning methods for biomedical sensors and wearable biomedical devices; biomedical electrical instrumentation; biomedical sensors; modelling of electromagnetism in biological tissue; audio signal processing; and system engineering/design of medical devices.

Links
Google Scholar
Bioelectrical Instrumentation and Signal Processing

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