Closing the Loop – Implementing Personalized Real-Time Biofeedback for Gait Rehabilitation in Stroke and Parkinson’s Patients
- 27 February 2025
- book chapter
- Published by Springer Nature
- p. 641-644
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Biofeedback for Post-stroke Gait Retraining: A Review of Current Evidence and Future Research Directions in the Context of Emerging TechnologiesFrontiers in Neurology, 2021
- High Intensity Exercise for Walking Competency in Individuals with Stroke: A Systematic Review and Meta-AnalysisJournal of Stroke and Cerebrovascular Diseases, 2019
- Motor Learning Deficits in Parkinson's Disease (PD) and Their Effect on Training Response in Gait and Balance: A Narrative ReviewFrontiers in Neurology, 2019
- Global Burden of StrokeSeminars in Neurology, 2018
- Postural motor learning in Parkinson’s disease: The effect of practice on continuous compensatory postural regulationGait & Posture, 2017
- An Updated Definition of Stroke for the 21st CenturyStroke, 2013
- Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A reviewPsychonomic Bulletin & Review, 2012
- Inter-individual Variability in the Capacity for Motor Recovery After Ischemic StrokeNeurorehabilitation and Neural Repair, 2007
- Motor learning: its relevance to stroke recovery and neurorehabilitationCurrent Opinion in Neurology, 2006
- Extrinsic feedback for motor learning after stroke: What is the evidence?Disability and Rehabilitation, 2006