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一种智能、纺织驱动的软性脊柱辅助外骨骼。

A Smart, Textile-Driven, Soft Exosuit for Spinal Assistance.

机构信息

Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.

College of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam.

出版信息

Sensors (Basel). 2023 Oct 9;23(19):8329. doi: 10.3390/s23198329.

Abstract

Work-related musculoskeletal disorders (WMSDs) are often caused by repetitive lifting, making them a significant concern in occupational health. Although wearable assist devices have become the norm for mitigating the risk of back pain, most spinal assist devices still possess a partially rigid structure that impacts the user's comfort and flexibility. This paper addresses this issue by presenting a smart textile-actuated spine assistance robotic exosuit (SARE), which can conform to the back seamlessly without impeding the user's movement and is incredibly lightweight. To detect strain on the spine and to control the smart textile automatically, a soft knitting sensor that utilizes fluid pressure as a sensing element is used. Based on the soft knitting hydraulic sensor, the robotic exosuit can also feature the ability of monitoring and rectifying human posture. The SARE is validated experimentally with human subjects (N = 4). Through wearing the SARE in stoop lifting, the peak electromyography (EMG) signals of the lumbar erector spinae are reduced by 22.8% ± 12 for lifting 5 kg weights and 27.1% ± 14 in empty-handed conditions. Moreover, the integrated EMG decreased by 34.7% ± 11.8 for lifting 5 kg weights and 36% ± 13.3 in empty-handed conditions. In summary, the artificial muscle wearable device represents an anatomical solution to reduce the risk of muscle strain, metabolic energy cost and back pain associated with repetitive lifting tasks.

摘要

工作相关肌肉骨骼疾病(WMSDs)通常是由重复性举重引起的,这是职业健康的一个重要关注点。虽然可穿戴辅助设备已成为减轻背痛风险的标准,但大多数脊柱辅助设备仍具有部分刚性结构,这会影响用户的舒适度和灵活性。本文通过提出一种智能纺织驱动的脊柱辅助机器人外骨骼(SARE)来解决这个问题,它可以无缝贴合背部,不会阻碍用户的运动,而且非常轻便。为了检测脊柱的应变并自动控制智能纺织品,使用了一种利用流体压力作为传感元件的软针织传感器。基于软针织液压传感器,机器人外骨骼还具有监测和纠正人体姿势的功能。通过对 4 名人类受试者进行实验验证,SARE 在弯腰举重时,佩戴者的腰部竖脊肌的肌电图(EMG)峰值信号分别降低了 22.8%±12(举起 5 公斤重物时)和 27.1%±14(空手时)。此外,举起 5 公斤重物和空手时,集成的 EMG 分别降低了 34.7%±11.8 和 36%±13.3。总之,这种人工肌肉可穿戴设备为减少与重复性举重任务相关的肌肉劳损、代谢能量成本和背痛风险提供了一种解剖学解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f443/10575006/8bdf4165da1a/sensors-23-08329-g001.jpg

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