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Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review
The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740760/ https://www.ncbi.nlm.nih.gov/pubmed/36501933 http://dx.doi.org/10.3390/s22239232 |
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author | de Oliveira, Jonathan de Souza, Mauren Abreu Assef, Amauri Amorin Maia, Joaquim Miguel |
author_facet | de Oliveira, Jonathan de Souza, Mauren Abreu Assef, Amauri Amorin Maia, Joaquim Miguel |
author_sort | de Oliveira, Jonathan |
collection | PubMed |
description | The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combined traditional techniques to quantify information about the muscle condition that is correlated to neuromuscular electrical activation and the generation of muscle force and vibration has grown. The purpose of this review is to guide the reader to relevant works in different applications of ultrasound imaging in combination with other techniques for the characterization of biological signals. Several research groups have been using multi-sensing systems to carry out specific studies in the health area. We can divide these studies into two categories: human–machine interface (HMI), in which sensors are used to capture critical information to control computerized prostheses and/or robotic actuators, and physiological study, where sensors are used to investigate a hypothesis and/or a clinical diagnosis. In addition, the relevance, challenges, and expectations for future work are discussed. |
format | Online Article Text |
id | pubmed-9740760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97407602022-12-11 Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review de Oliveira, Jonathan de Souza, Mauren Abreu Assef, Amauri Amorin Maia, Joaquim Miguel Sensors (Basel) Review The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combined traditional techniques to quantify information about the muscle condition that is correlated to neuromuscular electrical activation and the generation of muscle force and vibration has grown. The purpose of this review is to guide the reader to relevant works in different applications of ultrasound imaging in combination with other techniques for the characterization of biological signals. Several research groups have been using multi-sensing systems to carry out specific studies in the health area. We can divide these studies into two categories: human–machine interface (HMI), in which sensors are used to capture critical information to control computerized prostheses and/or robotic actuators, and physiological study, where sensors are used to investigate a hypothesis and/or a clinical diagnosis. In addition, the relevance, challenges, and expectations for future work are discussed. MDPI 2022-11-27 /pmc/articles/PMC9740760/ /pubmed/36501933 http://dx.doi.org/10.3390/s22239232 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review de Oliveira, Jonathan de Souza, Mauren Abreu Assef, Amauri Amorin Maia, Joaquim Miguel Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title | Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title_full | Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title_fullStr | Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title_full_unstemmed | Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title_short | Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review |
title_sort | multi-sensing techniques with ultrasound for musculoskeletal assessment: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740760/ https://www.ncbi.nlm.nih.gov/pubmed/36501933 http://dx.doi.org/10.3390/s22239232 |
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