• A multiparameter model for non-invasive detection of hypoglycemia 

      Elvebakk, Ole; Tronstad, Christian; Birkeland, Kåre I.; Jenssen, Trond Geir; Bjørgaas, Marit Ragnhild Rokne; Gulseth, Hanne Løvdal; Kalvøy, Håvard; Høgetveit, Jan Olav; Martinsen, Ørjan Grøttem (Journal article; Peer reviewed, 2019)
      Objective: Severe hypoglycemia is the most serious acute complication for people with type 1 diabetes (T1D). Approximately 25% of people with T1D have impaired ability to recognize impending hypoglycemia, and nocturnal ...
    • Electrical Bioimpedance Based Heart Monitoring System 

      Gåsland, Bergljot Matre (Master thesis, 2016)
      There is a great need for monitoring devices in the intensive care unit during, and after, cardiac surgery to be able to detect anomalies at an early stage. The techniques used today are good, but limited in di erent ways. ...
    • Evaluation of hypoglycaemia with non-invasive sensors in people with type 1 diabetes and impaired awareness of hypoglycaemia 

      Elvebakk, Ole; Tronstad, Christian; Birkeland, Kåre I.; Jenssen, Trond Geir; Bjørgaas, Marit Ragnhild Rokne; Frøslie, Kathrine Frey; Godang, Kristin; Kalvøy, Håvard; Martinsen, Ørjan Grøttem; Gulseth, Hanne Løvdal (Journal article; Peer reviewed, 2018)
      People with type 1 diabetes and impaired awareness of hypoglycaemia (IAH) are prone to severe hypoglycaemia. Previous attempts to develop non-invasive hypoglycaemia alarm systems have shown promising results, but it is not ...