Blar i Institutt for nevromedisin og bevegelsesvitenskap på forfatter "Øberg, Gunn Kristin"

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    • 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 ...

    • Early Parent-Administered Physical Therapy for Preterm Infants: A Randomized Controlled Trial 

      Ustad, Tordis; Evensen, Kari Anne Indredavik; Campbell, Suzann K; Girolami, Gay L; Helbostad, Jorunn L.; Jørgensen, Lone; Kaaresen, Per Ivar; Øberg, Gunn Kristin (Peer reviewed; Journal article, 2016)
      OBJECTIVE: To investigate the short-term effect of parent-administered physical therapy in the preterm period on motor performance in medically stable infants. METHODS: This study was a pragmatic, multicenter, randomized ...

    • Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study 

      Ihlen, Espen Alexander F.; Støen, Ragnhild; Boswell, Lynn; de-Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-spira, Deborah; Labori, Cathrine; Loennecken, Marianne; Msall, Me; Møinicken, Unn inger; Peyton, Colleen; Schreiber, Me; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Vaagen, Randi; Øberg, Gunn Kristin; Adde, Lars (Journal article; Peer reviewed, 2019)
      Background: Early identification of cerebral palsy (CP) during infancy will provide opportunities for early therapies and treatments. The aim of the present study was to present a novel machine-learning model, the ...

    • Test-retest reliability of the Test of Infant Motor Performance Screening Items in infants at risk for impaired functional motor performance 

      Ustad, Tordis; Helbostad, Jorunn L.; Campbell, Suzann K; Girolami, Gay L; Jørgensen, Lone; Øberg, Gunn Kristin; Evensen, Kari A. Indredavik (Peer reviewed; Journal article, 2016)
      Objective To examine test–retest reliability of the TIMPSI in infants at risk for impaired functional motor performance. Methods The TIMPSI was administered twice to 51 infants from two different hospitals in ...

    • 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 ...