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Development of an embedded device for real-time detection of atrial fibrillation and atrial flutter in single-channel ECG, using optimised classification based on a large training corpus

Auer, Eric


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@phdthesis{auer_eric_2020_4560151,
  author       = {Auer, Eric},
  title        = {{Development of an embedded device for real-time 
                   detection of atrial fibrillation and atrial
                   flutter in single-channel ECG, using optimised
                   classification based on a large training corpus}},
  school       = {{University of Applied Sciences Saarbrücken 
                   (htwsaar)}},
  year         = 2020,
  month        = dec,
  note         = {{Master's Thesis, Neural Engineering, University of 
                   Applied Sciences Saarbrücken (htwsaar)
                   Supervisors: Prof. Dr. Oliver Scholz, Prof. Dr.
                   rer. nat. Dr. rer. med. habil. Daniel J. Strauss}},
  doi          = {10.5281/zenodo.4560151},
  url          = {https://doi.org/10.5281/zenodo.4560151}
}
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