• Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk 

      Groos, Daniel; Adde, Lars; Aubert, Sindre Aarnes; Boswell, Lynn; De Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Haukeland, Andreas; Loennecken, Marianne; Msall, Michael; Moinichen, Unn Inger; Pascal, Aurelie; Peyton, Colleen; Ramampiaro, Heri; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Thomas, Niranjan; van den Broeck, Christine; Øberg, Gunn Kristin; Ihlen, Espen Alexander F.; Støen, Ragnhild (Peer reviewed; Journal article, 2022)
      Importance Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity. Objective ...
    • Effects of Ankle-Foot Orthoses on acceleration and energy cost of walking in children and adolescents with cerebral palsy 

      Goihl, Tobias; Brændvik, Siri Merete; Ustad, Astrid; Roeleveld, Karin; Ihlen, Espen Alexander F.; Bardal, Ellen Marie (Journal article; Peer reviewed, 2021)
    • Identification of gait domains and key gait variables following hip fracture 

      Thingstad, Pernille; Egerton, Thorlene; Ihlen, Espen Alexander F.; Taraldsen, Kristin; Moe-Nilssen, Rolf; Helbostad, Jorunn L. (Peer reviewed; Journal article, 2015)
      Background:Restoration of gait is an important goal of rehabilitation after hip fracture. Numerous spatial andtemporal gait variables have been reported in the literature, but beyond gait speed, there is little agreement ...
    • In-Motion-App for remote General Movement Assessment: a multi-site observational study 

      Adde, Lars; Brown, Annemette; van den Broeck, Christine; DeCoen, Kris; Eriksen, Beate Horsberg; Fjørtoft, Toril Larsson; Groos, Daniel; Ihlen, Espen Alexander F.; Osland, Siril; Pascal, Aurelie; Paulsen, Henriette; Skog, Ole-Morten; Sivertsen, Wiebke; Støen, Ragnhild (Peer reviewed; Journal article, 2021)
      Objectives: To determine whether videos taken by parents of their infants' spontaneous movements were in accordance with required standards in the In-Motion-App, and whether the videos could be remotely scored by a trained ...
    • The Predictive Accuracy of the General Movement Assessment for Cerebral Palsy: A Prospective, Observational Study of High-Risk Infants in a Clinical Follow-Up Setting 

      Støen, Ragnhild; Boswell, Lynn; De Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Ihlen, Espen Alexander F.; Labori, Cathrine; Loennecken, Marianne; Msall, Michael E.; Moinichen, Unn Inger; Peyton, Colleen; Russow, Annamarie; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Vågen, Randi Tynes; Øberg, Gunn Kristin; Adde, Lars (Journal article; Peer reviewed, 2019)
      Background: Early prediction of cerebral palsy (CP) using the General Movement Assessment (GMA) during the fidgety movements (FM) period has been recommended as standard of care in high-risk infants. The aim of this study ...
    • Towards human-level performance on automatic pose estimation of infant spontaneous movements 

      Groos, Daniel; Adde, Lars; Støen, Ragnhild; Ramampiaro, Heri; Ihlen, Espen Alexander F. (Peer reviewed; Journal article, 2021)
      Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorders, highly precise localization of segments ...