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    • Head Pitch Angular Velocity Discriminates (Sub-)Acute Neck Pain Patients and Controls Assessed with the DidRen Laser TestPeer reviewedOpen access 

      06 avril 2022, BUISSERET, Fabien; HOURY, Martin; Hage, Renaud; DIERICK, Frédéric, CeREF Technique
      Article scientifique
      Understanding neck pain is an important societal issue. Kinematic data from sensors may help to gain insight into the pathophysiological mechanisms associated with neck pain through a quantitative sensorimotor assessment of one patient. The objective of this study was to evaluate the potential usefulness of artificial intelligence with several machine learning (ML) algorithms in assessing neck ...

    • Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return TestPeer reviewedOpen access 

      03 juillet 2022, Thiry, Paul; HOURY, Martin; PHILIPPE, Laurent; Nocent, Olivier; BUISSERET, Fabien; DIERICK, Frédéric; Slama, Rim; Bertucci, William; Thévenon, André; Simoneau, Emilie, CeREF Technique
      Article scientifique
      Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (SampEn), which assesses the complexity of motion variability in identifying the condition of low back pain. ...