Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation

Musculoskeletal tissues respond to optimal mechanical signals (e.g., strains) through anabolic adaptations, while mechanical signals above and below optimal levels cause tissue catabolism. If an individual's physical behavior could be altered to generate optimal mechanical signaling to musculos...

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Main Authors: Claudio Pizzolato, David G. Lloyd, Rod S. Barrett, Jill L. Cook, Ming H. Zheng, Thor F. Besier, David J. Saxby
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00096/full
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author Claudio Pizzolato
Claudio Pizzolato
David G. Lloyd
David G. Lloyd
Rod S. Barrett
Rod S. Barrett
Jill L. Cook
Ming H. Zheng
Thor F. Besier
David J. Saxby
David J. Saxby
author_facet Claudio Pizzolato
Claudio Pizzolato
David G. Lloyd
David G. Lloyd
Rod S. Barrett
Rod S. Barrett
Jill L. Cook
Ming H. Zheng
Thor F. Besier
David J. Saxby
David J. Saxby
author_sort Claudio Pizzolato
collection DOAJ
description Musculoskeletal tissues respond to optimal mechanical signals (e.g., strains) through anabolic adaptations, while mechanical signals above and below optimal levels cause tissue catabolism. If an individual's physical behavior could be altered to generate optimal mechanical signaling to musculoskeletal tissues, then targeted strengthening and/or repair would be possible. We propose new bioinspired technologies to provide real-time biofeedback of relevant mechanical signals to guide training and rehabilitation. In this review we provide a description of how wearable devices may be used in conjunction with computational rigid-body and continuum models of musculoskeletal tissues to produce real-time estimates of localized tissue stresses and strains. It is proposed that these bioinspired technologies will facilitate a new approach to physical training that promotes tissue strengthening and/or repair through optimal tissue loading.
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spelling doaj.art-dae5562aebca4d80b246f05e878c15612022-12-21T18:21:51ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882017-10-011110.3389/fncom.2017.00096264898Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and RehabilitationClaudio Pizzolato0Claudio Pizzolato1David G. Lloyd2David G. Lloyd3Rod S. Barrett4Rod S. Barrett5Jill L. Cook6Ming H. Zheng7Thor F. Besier8David J. Saxby9David J. Saxby10School of Allied Health Sciences, Griffith University, Gold Coast, QLD, AustraliaGold Coast Orthopaedic Research and Education Alliance, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, AustraliaGold Coast Orthopaedic Research and Education Alliance, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, AustraliaGold Coast Orthopaedic Research and Education Alliance, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaLa Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, AustraliaCentre for Orthopaedic Translational Research, School of Surgery, University of Western Australia, Nedlands, WA, AustraliaAuckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New ZealandSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, AustraliaGold Coast Orthopaedic Research and Education Alliance, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaMusculoskeletal tissues respond to optimal mechanical signals (e.g., strains) through anabolic adaptations, while mechanical signals above and below optimal levels cause tissue catabolism. If an individual's physical behavior could be altered to generate optimal mechanical signaling to musculoskeletal tissues, then targeted strengthening and/or repair would be possible. We propose new bioinspired technologies to provide real-time biofeedback of relevant mechanical signals to guide training and rehabilitation. In this review we provide a description of how wearable devices may be used in conjunction with computational rigid-body and continuum models of musculoskeletal tissues to produce real-time estimates of localized tissue stresses and strains. It is proposed that these bioinspired technologies will facilitate a new approach to physical training that promotes tissue strengthening and/or repair through optimal tissue loading.http://journal.frontiersin.org/article/10.3389/fncom.2017.00096/fullbiomechanicsmechanobiologywearable devicestissue strainbiofeedbackmodeling
spellingShingle Claudio Pizzolato
Claudio Pizzolato
David G. Lloyd
David G. Lloyd
Rod S. Barrett
Rod S. Barrett
Jill L. Cook
Ming H. Zheng
Thor F. Besier
David J. Saxby
David J. Saxby
Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
Frontiers in Computational Neuroscience
biomechanics
mechanobiology
wearable devices
tissue strain
biofeedback
modeling
title Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
title_full Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
title_fullStr Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
title_full_unstemmed Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
title_short Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
title_sort bioinspired technologies to connect musculoskeletal mechanobiology to the person for training and rehabilitation
topic biomechanics
mechanobiology
wearable devices
tissue strain
biofeedback
modeling
url http://journal.frontiersin.org/article/10.3389/fncom.2017.00096/full
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