An Adaptive Robotic Exoskeleton for Comprehensive Force-Controlled Hand Rehabilitation

Nikolas Wilhelm, Victor Schaack, Annick Leisching, Carina Micheler, Sami Haddadin, Rainer Burgkart

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

This study presents the development and validation of an innovative hand exoskeleton designed for the re-habilitation of patients with Complex Regional Pain Syndrome (CRPS), a condition frequently arising post-injury or surgeries. The prototype is tailored for the hand, a region commonly affected by CRPS, and is notable for its adaptability and a comprehensive sensor system for monitoring individual joint movements. Reliable sensor performance was defined through precise force measurements and stability over time, showing minimal drift. These features enable personalized rehabilitation and objective progress tracking, addressing limitations in traditional physiotherapy such as availability, cost, and time constraints. The contributions of this work lie in its innovative design and the potential for robotic systems to improve therapeutic outcomes in CRPS rehabilitation.

OriginalspracheEnglisch
Titel2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten170-177
Seitenumfang8
ISBN (elektronisch)9798350377705
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, Vereinigte Arabische Emirate
Dauer: 14 Okt. 202418 Okt. 2024

Publikationsreihe

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (elektronisch)2153-0866

Konferenz

Konferenz2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Land/GebietVereinigte Arabische Emirate
OrtAbu Dhabi
Zeitraum14/10/2418/10/24

Fingerprint

Untersuchen Sie die Forschungsthemen von „An Adaptive Robotic Exoskeleton for Comprehensive Force-Controlled Hand Rehabilitation“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren