An Agent-based Approach to Physical Rehabilitation of Patients affected by Neurological Diseases
Author(s) -
David Vallejo,
Santiago Schez-Sobrino,
Javier Albusac,
J.J. Castro-Schez,
C. Glez-Morcillo
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.11.081
Subject(s) - rehabilitation , computer science , autonomy , process (computing) , physical medicine and rehabilitation , neurological rehabilitation , dementia , healthcare system , face (sociological concept) , health care , architecture , stroke (engine) , medicine , physical therapy , disease , pathology , art , mechanical engineering , social science , engineering , sociology , economic growth , political science , law , economics , visual arts , operating system
Neurological disorders such as strokes, dementia, or ABI, among others, represent a major burden on European and worldwide healthcare systems, and can be understood as an unmet clinical need, recognised as a global challenge. This work discusses how agent technology can contribute to increase the autonomy of patients affected by neurological diseases who require physical rehabilitation. This approach can reduce face-to-face rehabilitation and the associated costs. We propose an architecture composed of software agents that play different roles to support the rehabilitation process from the point of view of patients and clinicians. This architecture has been used to deploy a multi-agent system for the physical rehabilitation of patients affected by a stroke. The involved rehabilitation exercises can be automatically assessed, classified and supervised. The conducted performance tests allow to conclude that the system can provide feedback to the patients in real-time.
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