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Monitoring Physical Behavior in Rehabilitation Using a Machine Learning-Based Algorithm for Thigh-Mounted Accelerometers: Development and Validation Study.

Frederik SkovbjergHelene HonoréInger MechlenburgMatthijs LippertsRikke GadeErhard Trillingsgaard Næss-Schmidt
Published in: JMIR bioinformatics and biotechnology (2022)
Using a single thigh-mounted accelerometer, we obtained high classification levels within specific behaviors. The behaviors classified with high levels of performance mostly occur in populations with higher levels of functioning. Further development should aim at describing behaviors within populations with lower levels of functioning.
Keyphrases
  • machine learning
  • deep learning
  • physical activity
  • artificial intelligence
  • mental health
  • big data