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Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis.

Alzhraa A IbrahimArne KüderleHeiko GaßnerJochen KluckenBjoern M EskofierFelix Kluge
Published in: Journal of neuroengineering and rehabilitation (2020)
The level of fatigue can be predicted based on spatio-temporal gait parameters obtained from an IMU based system. The results can help therapists to monitor fatigue before and after treatment and in rehabilitation programs to evaluate their efficacy. Furthermore, this can be used in home monitoring scenarios where therapists can monitor fatigue using IMUs reducing time and effort of patients and therapists.
Keyphrases
  • patient reported
  • sleep quality
  • multiple sclerosis
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • healthcare
  • climate change
  • prognostic factors
  • white matter