Literature DB >> 25064779

Reduction in energy expenditure during walking using an automated stride assistance device in healthy young adults.

Ryosuke Kitatani1, Koji Ohata2, Hideaki Takahashi3, Saori Shibuta4, Yu Hashiguchi5, Natsuki Yamakami6.   

Abstract

OBJECTIVE: To investigate the effects of an automated stride assistance device that assists hip joint flexion and extension movement in energy expenditure during walking in healthy young adults using an expired gas method.
DESIGN: Prospective, single-group design to compare the differences of energy expenditure between 2 assistive conditions.
SETTING: Laboratory. PARTICIPANTS: Healthy volunteers (N=10) aged 21 to 32 years.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Oxygen consumption per unit time (V˙o2) cost (ml·kg(-1)·m(-1)), and heart rate (beats/min) were measured in 2 assistive conditions (with 3-Nm hip motion assistance and without assistance) and at 2 walking speeds (comfortable walking speed [CWS] and maximum walking speed [MWS]).
RESULTS: There were no significant differences in walking speed between the with- and without-assistance conditions at either the CWS or MWS. The V˙o2 cost and heart rate were significantly reduced in the with-assistance condition compared with the without-assistance condition, at both the CWS and MWS. The reduction in the V˙o2 cost during the with-assistance condition, relative to the without-assistance condition, was 7.06% at the CWS and 10.52% at the MWS.
CONCLUSIONS: The automated stride assistance device is useful for reducing energy expenditure during walking in healthy adults. Further studies are warranted to investigate if this device provides substantial help to individuals with impaired mobility as a result of strength deficits.
Copyright © 2014 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Rehabilitation; Robotics; Walking

Mesh:

Year:  2014        PMID: 25064779     DOI: 10.1016/j.apmr.2014.07.008

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  7 in total

1.  Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.

Authors:  Su-Hyun Lee; Hwang-Jae Lee; Won Hyuk Chang; Byung-Ok Choi; Jusuk Lee; Jeonghun Kim; Gyu-Ha Ryu; Yun-Hee Kim
Journal:  J Neuroeng Rehabil       Date:  2017-11-28       Impact factor: 4.262

2.  Effect of timing of hip extension assistance during loaded walking with a soft exosuit.

Authors:  Ye Ding; Fausto A Panizzolo; Christopher Siviy; Philippe Malcolm; Ignacio Galiana; Kenneth G Holt; Conor J Walsh
Journal:  J Neuroeng Rehabil       Date:  2016-10-03       Impact factor: 4.262

3.  Automated stride assistance device improved the gait parameters and energy cost during walking of healthy middle-aged females but not those of young controls.

Authors:  Risa Otsuki; Hiromi Matsumoto; Masaru Ueki; Kazutake Uehara; Nobuko Nozawa; Mari Osaki; Hiroshi Hagino
Journal:  J Phys Ther Sci       Date:  2016-12-27

4.  Gait improvements by assisting hip movements with the robot in children with cerebral palsy: a pilot randomized controlled trial.

Authors:  Shihomi Kawasaki; Koji Ohata; Takeshi Yoshida; Atsushi Yokoyama; Shigehito Yamada
Journal:  J Neuroeng Rehabil       Date:  2020-07-03       Impact factor: 4.262

5.  Reducing the energy cost of walking in older adults using a passive hip flexion device.

Authors:  Fausto A Panizzolo; Chiara Bolgiani; Laura Di Liddo; Eugenio Annese; Giuseppe Marcolin
Journal:  J Neuroeng Rehabil       Date:  2019-10-15       Impact factor: 4.262

6.  Identification of the Exercise Load When Using a Balance Exercise Assist Robot.

Authors:  Naoki Sasanuma; Koichiro Sota; Yuki Uchiyama; Norihiko Kodama; Kazuhisa Domen
Journal:  Prog Rehabil Med       Date:  2021-12-25

7.  Efficacy of Wearable Device Gait Training on Parkinson's Disease: A Randomized Controlled Open-label Pilot Study.

Authors:  Noriko Kawashima; Kazuko Hasegawa; Masako Iijima; Kayo Nagami; Tomomi Makimura; Aya Kumon; Shigeaki Ohtsuki
Journal:  Intern Med       Date:  2022-02-08       Impact factor: 1.282

  7 in total

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