A Musical Biofeedback System for Balance and Gait Rehabilitation in Hemiparetic Stroke Patients: Designing Intuitive, Relevant and Flexible Interaction Concepts for the Clinical Environment
Translated title
A Musical Biofeedback System for Balance and Gait Rehabilitation in Hemiparetic Stroke Patients
Author
Kantan, Prithvi Ravi
Term
4. Term
Education
Publication year
2020
Submitted on
2020-05-27
Pages
217
Abstract
At genvinde balance og gang er centralt for at komme sig efter en apopleksi, især for personer med svaghed i den ene side af kroppen (hemiparese). Musikbaseret biofeedback—musik, der reagerer på en persons bevægelser—kan hjælpe, fordi den motiverer og kan vejlede kroppens bevægelser. Denne afhandling undersøgte, hvilke former for personligt tilpassede musik-feedbackinteraktioner der passer til almindelige rehabiliteringsforløb. Vi byggede en prototypeapp, der bruger små trådløse bevægelsessensorer, og forfinede den gennem tre udviklingscykler i samarbejde med patienter og klinikere. De udviklede interaktioner, målrettet statisk balance, dynamisk balance, siddestå (sit-to-stand) og gang, virkede anvendelige og potentielt klinisk nyttige for flere undergrupper af apopleksipatienter. De kan støtte selvstændighed og supplere standardtræning. Arbejdet peger på behovet for fremtidige studier, der systematisk undersøger fysiske og psykologiske effekter på kort og langt sigt.
Regaining balance and walking is central to recovery after stroke, especially for people with weakness on one side of the body (hemiparesis). Music-based biofeedback—music that responds to a person’s movements—may help because it is motivating and can guide how the body moves. This thesis explored which types of personalized music-feedback interactions fit common rehabilitation routines. We built a prototype app that uses small wireless motion sensors and refined it across three development cycles with input from patients and clinicians. The resulting interactions, designed for static balance, dynamic balance, sit-to-stand, and walking, appeared usable and potentially clinically useful for several subgroups of stroke patients. They may support independence and complement standard therapy. The work highlights the need for future studies that systematically test short- and long-term physical and psychological effects.
[This abstract was generated with the help of AI]
Keywords
Music ; Stroke ; Rehabilitation ; Biofeedback ; Technology
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