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Neurorehabilitation Course

Neurorehabilitation Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This Neurorehabilitation Course provides a practical framework for assessing motor, sensory, visual, cognitive, and emotional functions, enabling targeted interventions for upper limb and gait recovery post-stroke. Master evidence-based techniques including Fugl-Meyer, MoCA, CIMT, mirror therapy, task-specific training, alongside home programs, family education, progress monitoring, and goal-oriented recovery plans.

Elevify Advantages

Develop Skills

  • Neuro exam skills: conduct rapid motor, sensory, visual, and cognitive assessments.
  • Upper limb rehab: implement task-specific training, CIMT, mirror therapy, and motor imagery.
  • Sensory and neglect rehab: incorporate vision, scanning, and proprioceptive retraining.
  • Motivation and home programs: establish goals, involve family, and create safe practice plans.
  • Outcome tracking: choose, score, and interpret stroke rehab measures confidently.

Suggested Summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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