A Spine Assistive Robot With a Routed Twisted String Actuator and a Flat-Back Alleviation Mechanism for Lumbar-Degenerative Flat Back

Lee, Dongun; Kim, Sunghun; Park, Hyeong-Jin; Kim, Seonwoo; Shin, Dong-Chun

doi:10.1109/tmech.2022.3175298

Cited by 7 publications

(1 citation statement)

References 30 publications

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“…Spine-assistive devices apply a compression force, which acts in parallel with the back muscles such as the lumbar erector spinae (LES) or latissimus dorsi (LD) to assist their function [14]. The assistive performance of these devices can reduce the electrical activity of the lower back muscles by between 10% and 40% [19][20][21]. For example, a cabledriven soft spine wearable device consisting of a hyper-redundant continuum mechanism was developed to mimic the compression force of the erector spinae (ES) muscles, which was observed to reduce LES usage by 30% [22].…”

Section: Introductionmentioning

confidence: 99%

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

Zhu,

Phan,

Sharma

et al. 2023

Sensors

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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.

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