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A Smart, Textile-Driven, Soft Exosuit for Spinal Assistance.
Zhu, Kefan; Phan, Phuoc Thien; Sharma, Bibhu; Davies, James; Thai, Mai Thanh; Hoang, Trung Thien; Nguyen, Chi Cong; Ji, Adrienne; Nicotra, Emanuele; La, Hung Manh; Vo-Doan, Tat Thang; Phan, Hoang-Phuong; Lovell, Nigel H; Do, Thanh Nho.
Afiliación
  • Zhu K; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Phan PT; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Sharma B; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Davies J; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Thai MT; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Hoang TT; College of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam.
  • Nguyen CC; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Ji A; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Nicotra E; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • La HM; Graduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Vo-Doan TT; Advanced Robotics and Automation Lab, Computer Science and Engineering, University of Nevada, Reno, NV 89512, USA.
  • Phan HP; School of Mechanical & Mining Engineering, The University of Queensland, St. Lucia, QLD 4072, Australia.
  • Lovell NH; School of Mechanical and Manufacturing Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.
  • Do TN; Tyree Foundation Institute of Health Engineering (IHealthE), UNSW Sydney, Sydney, NSW 2052, Australia.
Sensors (Basel) ; 23(19)2023 Oct 09.
Article en En | MEDLINE | ID: mdl-37837159
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Postura / Movimiento Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Postura / Movimiento Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article