Login / Signup

Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor.

Luigi BorziIvan MazzettaAlessandro ZampognaAntonio SuppaFernanda IrreraGabriella Olmo
Published in: Sensors (Basel, Switzerland) (2022)
Optimized support vector regression models have high feasibility in predicting PIGD scores in PD. L-Dopa and FOG affect regression model performances. Overall, a single inertial sensor may help to remotely assess axial motor impairment in PD patients.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors