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康复领域中用于人造肌肉的技术与传感器

Technologies and Sensors for Artificial Muscles in Rehabilitation.

作者信息

Basu Vina, Cheng Li, Zheng Bin

机构信息

Department of Electrical Engineering, University of Alberta, Edmonton, AB T6G 2B7, Canada.

Department of Surgery, University of Alberta, Edmonton, AB T6G 2B7, Canada.

出版信息

Sensors (Basel). 2024 Nov 26;24(23):7532. doi: 10.3390/s24237532.

Abstract

Muscles are very important parts of the human body. When there is an injury to a muscle that causes long-term dysfunctionality, sensors and artificial muscles can be used to help alleviate problems. Muscles have complex structures; thus, ultrasound and other types of scans may be needed to determine their parameters and model their shapes. Additionally, the measurement of chemicals in muscles plays a significant role in analyzing their performance and potential diseases in humans. All the above-mentioned components are needed for understanding the structure and function of muscles. The areas studied in this review include artificial muscles and exoskeletons, determining muscle parameters and modelling, assessing musculoskeletal functions, chemicals in muscles, and various applications, including those of wearable sensors. In future studies, we would like to understand the link between the brain and muscles and develop technologies that can assist in augmenting the motor skills of individuals affected by various debilitating conditions.

摘要

肌肉是人体非常重要的组成部分。当肌肉受伤导致长期功能障碍时,可以使用传感器和人造肌肉来帮助缓解问题。肌肉结构复杂;因此,可能需要超声和其他类型的扫描来确定其参数并对其形状进行建模。此外,肌肉中化学物质的测量在分析其性能和人类潜在疾病方面起着重要作用。理解肌肉的结构和功能需要上述所有要素。本综述所研究的领域包括人造肌肉和外骨骼、确定肌肉参数和建模、评估肌肉骨骼功能、肌肉中的化学物质以及各种应用,包括可穿戴传感器的应用。在未来的研究中,我们希望了解大脑与肌肉之间的联系,并开发能够帮助增强受各种衰弱病症影响的个体运动技能的技术。

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本文引用的文献

1
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