Personlig profil

Sprogkundskaber

Dansk

Engelsk

Undervisnings- og vejledningsområder

Cardiac Arrythmias, Machine Learning, Electrocardiography, Physiological modelling

 

 

Kort præsentation

My focus is to develop valid, robust, and explainable strategies and algorithms to identify patterns in electrocardiographic signals (ECG) using classical signal analysis and machine learning, to enable physicians to identify subjects of increased risk of heart disease and sudden death.

Based on pathophysiological and interdisciplinary research we try to combine genetic factors with signal analysis to promote personalized medicine and identify patients with increased sensitivity for various drugs, helping the physician to select proper treatment.

Ongoing projects

  • ECG and dementia
  • Deep Learning and ECG
  • Diabetes and ECG changes
  • Genetic influence on ECG parameters

CV

1996 - 1999: Assistant Professor, University of Copenhagen, Dept. of Medical Physiology.

1999 - 2014: Consultant Cardiologist (Afdelingslæge) Elsinore Hospital, Dept. of Medicine.

1999 - present: Associate Professor, University of Copenhagen, Dept. of Biomedical Sciences.

 

Orcid 

Google Scholar

Uddannelse (Akademiske kvalifikationer)

MD

Dimissionsdato: 28 feb. 1989

Emneord

  • Det Sundhedsvidenskabelige Fakultet
  • Elektrokardiogram (EKG)
  • Biological time series analysis
  • Artificial Intelligence (AI)
  • Deep Learning
  • Machine Learning
  • Genetics
  • Inherited arrhythmias
  • QT interval
  • Cardiovascular Pharmacology
  • Cardiac Electrophysiology
  • Ion channels

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