A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results

Autor: Giorgia Chiriatti, Luca Carbonari, Maria Gabriella Ceravolo, Elisa Andrenelli, Marzia Millevolte, Giacomo Palmieri
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Sensors, Vol 23, Iss 17, p 7652 (2023)
Druh dokumentu: article
ISSN: 1424-8220
DOI: 10.3390/s23177652
Popis: One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited in different fields, such as healthcare. In this paper, a rehabilitation framework for the upper limbs of neurological patients is presented, consisting of a collaborative robot that helps users perform three-dimensional trajectories. Such a practice is aimed at improving the coordination of patients by guiding their motions in a preferred direction. We present the mechatronic setup, along with a preliminary experimental set of results from 19 volunteers (patients and control subjects) who provided positive feedback on the training experience (52% of the subjects would return and 44% enjoyed performing the exercise). Patients were able to execute the exercise, with a maximum deviation from the trajectory of 16 mm. The muscular effort required was limited, with average maximum forces recorded at around 50 N.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje