A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses

Abstract Background Load cells are often used in rehabilitation robotics to monitor human–robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform to the shape of the body hinder their appl...

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Main Authors: N. Alavi, S. Zampierin, M. Komeili, S. Cocuzza, S. Debei, C. Menon
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BioMedical Engineering OnLine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12938-017-0345-8
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author N. Alavi
S. Zampierin
M. Komeili
S. Cocuzza
S. Debei
C. Menon
author_facet N. Alavi
S. Zampierin
M. Komeili
S. Cocuzza
S. Debei
C. Menon
author_sort N. Alavi
collection DOAJ
description Abstract Background Load cells are often used in rehabilitation robotics to monitor human–robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform to the shape of the body hinder their application in developing affordable and wearable robotic orthoses for assisting individuals in the activities of daily living. This exploratory work investigates the possibility of using an alternative technology, namely compliant polymeric air cushions, to measure interaction forces between the user and a wearable rigid structure. Methods A polymeric air cushion was designed, analyzed using a finite element model (FEM), and tested using a bench-top characterization system. The cushions underwent repeatability testing, and signal delay testing from a step response while increasing the length of the cushion’s tubes. Subsequently, a 3D printed wrist brace prototype was integrated with six polymeric air cushions and tested in static conditions where a volunteer exerted isometric pronation/supination torque and forces in vertical and horizontal directions. The load measured by integrating data recorded by the six sensors was compared with force data measured by a high quality load cell and torque sensor. Results The FEM and experimental data comparison was within the error bounds of the external differential pressure sensor used to monitor the pressure inside the cushion. The ratio obtained experimentally between the pressure inside the pressure cushion and the 8 N applied load deviated by only 1.28% from the FEM. A drift smaller than 1% was observed over 10 cycles. The rise times of the cushion under an 8 N step response for a 0.46, 1.03, and 2.02 m length tube was 0.45, 0.39, and 0.37 s. Tests with the wrist brace showed a moderate root mean square error (RMSE) between the force estimated by the pressure cushions and the external load cells. Specifically, the RMSE was 13 mNm, 500 mN, and 1.24 N for forearm pronation/supination torque, vertical force, and horizontal force, respectively. Conclusions The use of compliant pressure cushions was shown to be promising for monitoring interaction forces between the forearm and a rigid brace. This work lays the foundation for the future design of an array of pressure cushions for robotic orthoses. Future research should also investigate the compatibility of these polymeric cushions for data acquisition during functional magnetic resonance imaging in shielded rooms.
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spelling doaj.art-5bfebc687e4e4005a7501ca14e6d6e852022-12-21T17:17:06ZengBMCBioMedical Engineering OnLine1475-925X2017-05-0116112010.1186/s12938-017-0345-8A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthosesN. Alavi0S. Zampierin1M. Komeili2S. Cocuzza3S. Debei4C. Menon5Menrva Research Group, School of Mechatronic Systems Engineering and Engineering Science, Simon Fraser UniversityMenrva Research Group, School of Mechatronic Systems Engineering and Engineering Science, Simon Fraser UniversityMenrva Research Group, School of Mechatronic Systems Engineering and Engineering Science, Simon Fraser UniversityCISAS-Center of Studies and Activities for Space, University of PaduaDepartment of Industrial Engineering, University of PaduaMenrva Research Group, School of Mechatronic Systems Engineering and Engineering Science, Simon Fraser UniversityAbstract Background Load cells are often used in rehabilitation robotics to monitor human–robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform to the shape of the body hinder their application in developing affordable and wearable robotic orthoses for assisting individuals in the activities of daily living. This exploratory work investigates the possibility of using an alternative technology, namely compliant polymeric air cushions, to measure interaction forces between the user and a wearable rigid structure. Methods A polymeric air cushion was designed, analyzed using a finite element model (FEM), and tested using a bench-top characterization system. The cushions underwent repeatability testing, and signal delay testing from a step response while increasing the length of the cushion’s tubes. Subsequently, a 3D printed wrist brace prototype was integrated with six polymeric air cushions and tested in static conditions where a volunteer exerted isometric pronation/supination torque and forces in vertical and horizontal directions. The load measured by integrating data recorded by the six sensors was compared with force data measured by a high quality load cell and torque sensor. Results The FEM and experimental data comparison was within the error bounds of the external differential pressure sensor used to monitor the pressure inside the cushion. The ratio obtained experimentally between the pressure inside the pressure cushion and the 8 N applied load deviated by only 1.28% from the FEM. A drift smaller than 1% was observed over 10 cycles. The rise times of the cushion under an 8 N step response for a 0.46, 1.03, and 2.02 m length tube was 0.45, 0.39, and 0.37 s. Tests with the wrist brace showed a moderate root mean square error (RMSE) between the force estimated by the pressure cushions and the external load cells. Specifically, the RMSE was 13 mNm, 500 mN, and 1.24 N for forearm pronation/supination torque, vertical force, and horizontal force, respectively. Conclusions The use of compliant pressure cushions was shown to be promising for monitoring interaction forces between the forearm and a rigid brace. This work lays the foundation for the future design of an array of pressure cushions for robotic orthoses. Future research should also investigate the compatibility of these polymeric cushions for data acquisition during functional magnetic resonance imaging in shielded rooms.http://link.springer.com/article/10.1186/s12938-017-0345-8PolymerForceAirWearableSensorsPolydimethylsiloxane (PDMS)
spellingShingle N. Alavi
S. Zampierin
M. Komeili
S. Cocuzza
S. Debei
C. Menon
A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
BioMedical Engineering OnLine
Polymer
Force
Air
Wearable
Sensors
Polydimethylsiloxane (PDMS)
title A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
title_full A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
title_fullStr A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
title_full_unstemmed A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
title_short A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
title_sort preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses
topic Polymer
Force
Air
Wearable
Sensors
Polydimethylsiloxane (PDMS)
url http://link.springer.com/article/10.1186/s12938-017-0345-8
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