Blar i NTNU Open på forfatter "Kristiansen, Stein"

Viser treff 1-3 av 3

    • A clinical evaluation of a low-cost strain gauge respiration belt and machine learning to detect sleep apnea 

      Kristiansen, Stein; Nikolaidis, Konstantinos; Plagemann, Thomas Peter; Goebel, Vera Hermine; Traaen, Gunn Marit; Øverland, Britt; Akerøy, Lars; Hunt, Tove Elizabeth Frances; Loennechen, Jan Pål; Steinshamn, Sigurd Loe; Bendz, Christina; Anfinsen, Ole-Gunnar; Gullestad, Lars; Akre, Harriet (Peer reviewed; Journal article, 2023)
      Sleep apnea is a common and severe sleep-related respiratory disorder. Since the symptoms of sleep apnea are often ambiguous, it is difficult for a physician to decide whether to prescribe a clinical diagnosis, i.e., ...

    • Comparing manual and automatic scoring of sleep monitoring data from portable polygraphy 

      Kristiansen, Stein; Traaen, Gunn Marit; Øverland, Britt; Plagemann, Thomas Peter; Gullestad, Lars; Akre, Harriet; Nikolaidis, Konstantinos; Aakerøy, Lars; Hunt, Tove Elizabeth Frances; Loennechen, Jan Pål; Steinshamn, Sigurd Loe; Bendz, Christina; Anfinsen, Ole-Gunnar; Goebel, Vera Hermine (Journal article; Peer reviewed, 2020)
      We used sleep monitoring data from a study that investigated the prevalence, characteristics, risk factors and type of sleep apnea (SA) in 579 patients with paroxysmal atrial fibrillation. Most patients were screened for ...

    • My Health Sensor, my Classifier – Adapting a Trained Classifier to Unlabeled End-User Data 

      Nikolaidis, Konstantinos; Kristiansen, Stein; Plagemann, Thomas Peter; Goebel, Vera Hermine; Liestøl, Knut; Kankanhalli, Mohan; Traaen, Gunn Marit; Øverland, Britt; Akre, Harriet; Aakerøy, Lars; Steinshamn, Sigurd Loe (Peer reviewed; Journal article, 2022)
      Sleep apnea is a common yet severely under-diagnosed sleep related disorder. Unattended sleep monitoring at home with low-cost sensors can be leveraged for condition detection, and Machine Learning offers a generalized ...