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Validation of quantitative gait analysis systems for Parkinson's disease for use in supervised and unsupervised environments.

Sara AlbertoSílvia CabralJoão ProençaFilipa Pona-FerreiraMariana LeitãoRaquel Bouça-MachadoLinda Azevedo KauppilaAntónio P VelosoRui M CostaJoaquim J FerreiraRicardo Matias
Published in: BMC neurology (2021)
We conclude that the presented solutions produce accurate results and can capture clinically relevant parameters using commodity wearable sensors or a simple smartphone. This validation will hopefully enable the adoption of these systems for supervised and unsupervised gait analysis in clinical practice and clinical trials.
Keyphrases
  • machine learning
  • clinical trial
  • clinical practice
  • high resolution
  • heart rate
  • low cost
  • data analysis