Literature DB >> 29254733

The hybrid assisted limb (HAL) for Care Support, a motion assisting robot providing exoskeletal lumbar support, can potentially reduce lumbar load in repetitive snow-shoveling movements.

Kousei Miura1, Hideki Kadone2, Masao Koda3, Tetsuya Abe3, Hirooki Endo4, Hideki Murakami4, Minoru Doita4, Hiroshi Kumagai3, Katsuya Nagashima3, Kengo Fujii3, Hiroshi Noguchi3, Toru Funayama3, Hiroaki Kawamoto5, Yoshiyuki Sankai5, Masashi Yamazaki3.   

Abstract

An excessive lumbar load with snow-shoveling is a serious problem in snowfall areas. Various exoskeletal robots have been developed to reduce lumbar load in lifting work. However, few studies have reported the attempt of snow-shoveling work using exoskeletal robots. The purpose of the present study was to test the hypothesis that the HAL for Care Support robot would reduce lumbar load in repetitive snow-shoveling movements. Nine healthy male volunteers performed repetitive snow-shoveling movements outdoors in a snowfall area for as long as possible until they were fatigued. The snow-shoveling trial was performed under two conditions: with and without HAL for Care Support. Outcome measures were defined as the lumbar load assessed by the VAS of lumbar fatigue after the snow-shoveling trial and the snow-shoveling performance, including the number of scoops, and snow shoveling time and distance. The mean of VAS of lumbar fatigue, the number of scoops, and snow-shoveling time and distance without HAL for Care Support were 75.4 mm, 50.3, 145 s, and 9.6 m, while with HAL for Care Support were 39.8 mm, 144, 366 s, and 35.4 m. The reduction of lumbar fatigue and improvement of snow-shoveling performance using HAL for Care Support were statistically significant. There was no adverse event during snow-shoveling with HAL for Care Support. In conclusion, the HAL for Care Support can reduce lumbar load in repetitive snow-shoveling movements.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hybrid assisted limb; Lumbar load; Snow-shoveling; Wearable robot

Mesh:

Year:  2017        PMID: 29254733     DOI: 10.1016/j.jocn.2017.11.020

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  5 in total

Review 1.  Evaluation and Test Methods of Industrial Exoskeletons In Vitro, In Vivo, and In Silico: A Critical Review.

Authors:  Liying Zheng; Brian Lowe; Ashley L Hawke; John Z Wu
Journal:  Crit Rev Biomed Eng       Date:  2021

2.  Biofeedback Core Exercise Using Hybrid Assistive Limb for Physical Frailty Patients With or Without Parkinson's Disease.

Authors:  Naoya Kotani; Takashi Morishita; Aya Yatsugi; Shinsuke Fujioka; Satoshi Kamada; Etsuji Shiota; Yoshio Tsuboi; Tooru Inoue
Journal:  Front Neurol       Date:  2020-04-09       Impact factor: 4.003

3.  Early Postoperative Rehabilitation Using the Hybrid Assistive Limb (HAL) Lumbar Type in Patients With Hip Fracture: A Pilot Study.

Authors:  Tomohiro Fujikawa; Seita Takahashi; Naoki Shinohara; Naohiko Mashima; Masao Koda; Hiroshi Takahashi; Yoshihiro Yasunaga; Yoshiyuki Sankai; Masashi Yamazaki; Kousei Miura
Journal:  Cureus       Date:  2022-02-22

4.  Biofeedback Physical Therapy With the Hybrid Assistive Limb (HAL) Lumbar Type for Chronic Low Back Pain: A Pilot Study.

Authors:  Yoshihiro Yasunaga; Ren Koizumi; Taro Toyoda; Masao Koda; Naotaka Mamizuka; Yoshiyuki Sankai; Masashi Yamazaki; Kousei Miura
Journal:  Cureus       Date:  2022-03-25

5.  Identification of care tasks for the use of wearable transfer support robots - an observational study at nursing facilities using robots on a daily basis.

Authors:  Kenji Kato; Tatsuya Yoshimi; Shohei Tsuchimoto; Nobuaki Mizuguchi; Keita Aimoto; Naoki Itoh; Izumi Kondo
Journal:  BMC Health Serv Res       Date:  2021-07-05       Impact factor: 2.655

  5 in total

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