• Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls 

      Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (Peer reviewed; Journal article, 2020)
      Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner ...
    • HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features 

      Garcia-Ceja, Enrique; Thambawita, Vajira L B; Hicks, Steven; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2021)
      In this paper, we present HTAD: A Home Tasks Activities Dataset. The dataset contains wrist-accelerometer and audio data from people performing at-home tasks such as sweeping, brushing teeth, washing hands, or watching TV. ...
    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Peer reviewed; Journal article, 2020)
      Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to ...