Individualised and adaptive upper limb rehabilitation with industrial robot using dynamic movement primitives

Jacob Nielsen, Anders Stengaard Sørensen, Thomas Søndergaard Christensen, Thiusius Rajeeth Savarimuthu, Tomas Kulvicius

Research output: Contribution to conference without publisher/journalPosterResearchpeer-review

Abstract

Stroke is a leading cause of serious long-term disability. Post-stroke rehabilitation is a demanding task for the patient and a costly challenge for both society and healthcare systems. We present a novel approach for training of upper extremities after a stroke by utilising an industrial robotic arm and dynamic movement primitives (DMPs) with force feedback. We show how pre-recorded and learned DMPs can act as basis exercises, that can be modified into individualized and adaptive rehabilitation exercises that fit with the patient’s physical prop- erties and impairments. We conclude that our novel approach allows for easy and flexible set-up of rehabilitation exercises and has the potential to provide the therapists and patients much easier interaction with such complex technology
Original languageEnglish
Publication date2017
Number of pages4
Publication statusPublished - 2017
EventWorkshop on Advances and challenges on the development, testing and assessment of assistive and rehabilitation robots: Experiences from engineering and human science research: Held at: 2017 IEEE International Conference on Robotics and Automation - Marina Bay Sands, Singapore
Duration: 29. May 20173. Jun 2017

Workshop

WorkshopWorkshop on Advances and challenges on the development, testing and assessment of assistive and rehabilitation robots: Experiences from engineering and human science research
Country/TerritorySingapore
CityMarina Bay Sands
Period29/05/201703/06/2017

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