A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics

Mechanical assessments of skeletal muscles have profound relevance in the clinical diagnosis, management, and treatment of neuromuscular diseases. Current clinical measures of muscular biomechanics involve either non-instrumental methods that are subjective and qualitative or bulky instruments with...

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Main Authors: Gao, Dace, Lee, Jin Pyo, Chen, Jian, Tay, Lei Shan, Xin, Yangyang, Parida, Kaushik, Tan, Matthew Wei Ming, Huang, Peiwen, Kong, Keng He, Lee, Pooi See
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/176100
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1761002024-05-17T15:50:22Z A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics Gao, Dace Lee, Jin Pyo Chen, Jian Tay, Lei Shan Xin, Yangyang Parida, Kaushik Tan, Matthew Wei Ming Huang, Peiwen Kong, Keng He Lee, Pooi See School of Materials Science and Engineering Tan Tock Seng Hospital Rehabilitation Research Institute of Singapore (RRIS) Engineering Neuromuscular diseases Piezoelectric sensors Mechanical assessments of skeletal muscles have profound relevance in the clinical diagnosis, management, and treatment of neuromuscular diseases. Current clinical measures of muscular biomechanics involve either non-instrumental methods that are subjective and qualitative or bulky instruments with limited accessibility. Here, we develop a wearable device that integrates a pneumatic actuator and a piezoelectric sensor for in vivo measurements of muscular elasticity, where machine learning models are adopted to evaluate the severity of neuromuscular diseases. The wearable conforms to the human body and couples mechano-electrically with the underlying tissues, thereby correlating their elastic moduli with the sensor's voltage output. Clinical validation was performed on both normative and spastic biceps muscle. Quasi-static tests measure the effective moduli of the muscles, while dynamic tests continuously monitor the modulus change in biceps muscle during rapid joint stretches. This work establishes a new paradigm for remote diagnosis and tele-rehabilitation of muscle-related pathophysiological conditions. Nanyang Technological University Published version This work was supported by the 4th Rehabilitation Research Grant Call (RRG4) no. 2005 under the Rehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore. 2024-05-13T06:53:26Z 2024-05-13T06:53:26Z 2024 Journal Article Gao, D., Lee, J. P., Chen, J., Tay, L. S., Xin, Y., Parida, K., Tan, M. W. M., Huang, P., Kong, K. H. & Lee, P. S. (2024). A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics. Device, 2(3), 100288-. https://dx.doi.org/10.1016/j.device.2024.100288 2666-9994 https://hdl.handle.net/10356/176100 10.1016/j.device.2024.100288 2-s2.0-85187638564 3 2 100288 en RRG4 no. 2005 Device © 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Neuromuscular diseases
Piezoelectric sensors
spellingShingle Engineering
Neuromuscular diseases
Piezoelectric sensors
Gao, Dace
Lee, Jin Pyo
Chen, Jian
Tay, Lei Shan
Xin, Yangyang
Parida, Kaushik
Tan, Matthew Wei Ming
Huang, Peiwen
Kong, Keng He
Lee, Pooi See
A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
description Mechanical assessments of skeletal muscles have profound relevance in the clinical diagnosis, management, and treatment of neuromuscular diseases. Current clinical measures of muscular biomechanics involve either non-instrumental methods that are subjective and qualitative or bulky instruments with limited accessibility. Here, we develop a wearable device that integrates a pneumatic actuator and a piezoelectric sensor for in vivo measurements of muscular elasticity, where machine learning models are adopted to evaluate the severity of neuromuscular diseases. The wearable conforms to the human body and couples mechano-electrically with the underlying tissues, thereby correlating their elastic moduli with the sensor's voltage output. Clinical validation was performed on both normative and spastic biceps muscle. Quasi-static tests measure the effective moduli of the muscles, while dynamic tests continuously monitor the modulus change in biceps muscle during rapid joint stretches. This work establishes a new paradigm for remote diagnosis and tele-rehabilitation of muscle-related pathophysiological conditions.
author2 School of Materials Science and Engineering
author_facet School of Materials Science and Engineering
Gao, Dace
Lee, Jin Pyo
Chen, Jian
Tay, Lei Shan
Xin, Yangyang
Parida, Kaushik
Tan, Matthew Wei Ming
Huang, Peiwen
Kong, Keng He
Lee, Pooi See
format Article
author Gao, Dace
Lee, Jin Pyo
Chen, Jian
Tay, Lei Shan
Xin, Yangyang
Parida, Kaushik
Tan, Matthew Wei Ming
Huang, Peiwen
Kong, Keng He
Lee, Pooi See
author_sort Gao, Dace
title A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
title_short A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
title_full A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
title_fullStr A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
title_full_unstemmed A wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
title_sort wearable pneumatic-piezoelectric system for quantitative assessment of skeletomuscular biomechanics
publishDate 2024
url https://hdl.handle.net/10356/176100
_version_ 1806059918946467840