Computers in Biology and Medicine, 1879-0534

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  1. 2020
  2. Short-term reproducibility of parameters characterizing atrial fibrillatory waves

    Mikael Henriksson, García-Alberola, A. & Leif Sörnmo, 2020 Jan 20, In : Computers in Biology and Medicine. 117, 8 p.

    Research output: Contribution to journalArticle

  3. Effects of Deep Brain Stimulation on postural control in Parkinson's disease

    Patel, M., Maria H. Nilsson, Rehncrona, S., Tjernström, F., Måns Magnusson, Rolf Johansson & Per Anders Fransson, 2020, In : Computers in Biology and Medicine. 122, 103828.

    Research output: Contribution to journalArticle

  4. 2018
  5. Letter regarding the article “Detecting atrial fibrillation by deep convolutional neural networks” by Xia et al.

    Leif Sörnmo, Petrėnas, A., Mikael Henriksson & Marozas, V., 2018 Sep 1, In : Computers in Biology and Medicine. 100, p. 41-42 2 p.

    Research output: Contribution to journalLetter

  6. Atrial fibrillation frequency tracking in ambulatory ECG signals: The significance of signal quality assessment

    Paliakaitė, B., Petrėnas, A., Mikael Henriksson, Skibarkienė, J., Kubilius, R., Leif Sörnmo & Marozas, V., 2018, In : Computers in Biology and Medicine. 102, p. 227-233

    Research output: Contribution to journalArticle

  7. 2017
  8. Modeling of the photoplethysmogram during atrial fibrillation

    Sološenko, A., Petrėnas, A., Marozas, V. & Leif Sörnmo, 2017 Feb 1, In : Computers in Biology and Medicine. 81, p. 130-138 9 p.

    Research output: Contribution to journalArticle

  9. 2015
  10. Low-complexity detection of atrial fibrillation in continuous long-term monitoring.

    Petrėnas, A., Marozas, V. & Leif Sörnmo, 2015, In : Computers in Biology and Medicine. 65, Online 28 January 2015, p. 184-191

    Research output: Contribution to journalArticle

  11. 2005
  12. On exact string matching of unique oligonucleotides.

    Hyyrö, H., Juhola, M. & Mauno Vihinen, 2005, In : Computers in Biology and Medicine. 35, 2, p. 173-181

    Research output: Contribution to journalArticle

  13. 2001
  14. On preprocessing of protein sequences for neural network prediction of polyproline type II secondary structures

    Siermala, M., Juhola, M. & Mauno Vihinen, 2001, In : Computers in Biology and Medicine. 31, 5, p. 385-398

    Research output: Contribution to journalArticle