Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept

Advances in robotic systems for rehabilitation purposes have led to the development of specialized robot-assisted rehabilitation clinics. In addition, advantageous features of polymer optical fiber (POF) sensors such as light weight, multiplexing capabilities, electromagnetic field immunity and flex...

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Main Authors: Arnaldo Leal-Junior, Leticia Avellar, Jonathan Jaimes, Camilo Díaz, Wilian dos Santos, Adriano A. G. Siqueira, Maria José Pontes, Carlos Marques, Anselmo Frizera
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/11/3199
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spelling doaj-7ff18fda02f34d3791993c6e80fb3fd82020-11-25T03:20:45ZengMDPI AGSensors1424-82202020-06-01203199319910.3390/s20113199Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of ConceptArnaldo Leal-Junior0Leticia Avellar1Jonathan Jaimes2Camilo Díaz3Wilian dos Santos4Adriano A. G. Siqueira5Maria José Pontes6Carlos Marques7Anselmo Frizera8Graduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitória 29075-910, BrazilGraduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitória 29075-910, BrazilDepartment of Mechanical Engineering, Engineering School of São Carlos, University of São Paulo, São Carlos 13566-590, BrazilGraduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitória 29075-910, BrazilDepartment of Mechanical Engineering, Engineering School of São Carlos, University of São Paulo, São Carlos 13566-590, BrazilDepartment of Mechanical Engineering, Engineering School of São Carlos, University of São Paulo, São Carlos 13566-590, BrazilGraduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitória 29075-910, BrazilI3N & Physics Department, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, PortugalGraduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitória 29075-910, BrazilAdvances in robotic systems for rehabilitation purposes have led to the development of specialized robot-assisted rehabilitation clinics. In addition, advantageous features of polymer optical fiber (POF) sensors such as light weight, multiplexing capabilities, electromagnetic field immunity and flexibility have resulted in the widespread use of POF sensors in many areas. Considering this background, this paper presents an integrated POF intensity variation-based sensor system for the instrumentation of different devices. We consider different scenarios for physical rehabilitation, resembling a clinic for robot-assisted rehabilitation. Thus, a multiplexing technique for POF intensity variation-based sensors was applied in which an orthosis for flexion/extension movement, a modular exoskeleton for gait assistance and a treadmill were instrumented with POF angle and force sensors, where all the sensors were integrated in the same POF system. In addition, wearable sensors for gait analysis and physiological parameter monitoring were also proposed and applied in gait exercises. The results show the feasibility of the sensors and methods proposed, where, after the characterization of each sensor, the system was implemented with three volunteers: one for the orthosis on the flexion/extension movements, one for the exoskeleton for gait assistance and the other for the free gait analysis using the proposed wearable POF sensors. To the authors’ best knowledge, this is the first time that optical fiber sensors have been used as a multiplexed and integrated solution for the simultaneous assessment of different robotic devices and rehabilitation protocols, where such an approach results in a compact, fully integrated and low-cost system, which can be readily employed in any clinical environment.https://www.mdpi.com/1424-8220/20/11/3199wearable robotsrobotic rehabilitationoptical fiber sensorspolymer optical fiberwearable sensors
collection DOAJ
language English
format Article
sources DOAJ
author Arnaldo Leal-Junior
Leticia Avellar
Jonathan Jaimes
Camilo Díaz
Wilian dos Santos
Adriano A. G. Siqueira
Maria José Pontes
Carlos Marques
Anselmo Frizera
spellingShingle Arnaldo Leal-Junior
Leticia Avellar
Jonathan Jaimes
Camilo Díaz
Wilian dos Santos
Adriano A. G. Siqueira
Maria José Pontes
Carlos Marques
Anselmo Frizera
Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
Sensors
wearable robots
robotic rehabilitation
optical fiber sensors
polymer optical fiber
wearable sensors
author_facet Arnaldo Leal-Junior
Leticia Avellar
Jonathan Jaimes
Camilo Díaz
Wilian dos Santos
Adriano A. G. Siqueira
Maria José Pontes
Carlos Marques
Anselmo Frizera
author_sort Arnaldo Leal-Junior
title Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
title_short Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
title_full Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
title_fullStr Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
title_full_unstemmed Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept
title_sort polymer optical fiber-based integrated instrumentation in a robot-assisted rehabilitation smart environment: a proof of concept
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-06-01
description Advances in robotic systems for rehabilitation purposes have led to the development of specialized robot-assisted rehabilitation clinics. In addition, advantageous features of polymer optical fiber (POF) sensors such as light weight, multiplexing capabilities, electromagnetic field immunity and flexibility have resulted in the widespread use of POF sensors in many areas. Considering this background, this paper presents an integrated POF intensity variation-based sensor system for the instrumentation of different devices. We consider different scenarios for physical rehabilitation, resembling a clinic for robot-assisted rehabilitation. Thus, a multiplexing technique for POF intensity variation-based sensors was applied in which an orthosis for flexion/extension movement, a modular exoskeleton for gait assistance and a treadmill were instrumented with POF angle and force sensors, where all the sensors were integrated in the same POF system. In addition, wearable sensors for gait analysis and physiological parameter monitoring were also proposed and applied in gait exercises. The results show the feasibility of the sensors and methods proposed, where, after the characterization of each sensor, the system was implemented with three volunteers: one for the orthosis on the flexion/extension movements, one for the exoskeleton for gait assistance and the other for the free gait analysis using the proposed wearable POF sensors. To the authors’ best knowledge, this is the first time that optical fiber sensors have been used as a multiplexed and integrated solution for the simultaneous assessment of different robotic devices and rehabilitation protocols, where such an approach results in a compact, fully integrated and low-cost system, which can be readily employed in any clinical environment.
topic wearable robots
robotic rehabilitation
optical fiber sensors
polymer optical fiber
wearable sensors
url https://www.mdpi.com/1424-8220/20/11/3199
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