Literature DB >> 20002757

Effects of a robotic walking exercise on walking performance in community-dwelling elderly adults.

Hiroyuki Shimada1, Takashi Hirata, Yuichi Kimura, Takako Naka, Keishiro Kikuchi, Keiichi Oda, Kenji Ishii, Kiichi Ishiwata, Takao Suzuki.   

Abstract

BACKGROUND: Reduced gait speed and stride length are characteristic of gait in elderly people and increase their dependency on assistance. We developed a robotic stride assistance system (SAS) to automatically control the walk ratio during walking. Our aim was to quantify the effects of a walking exercise with the SAS on walking performance and glucose metabolism during walking in community-dwelling elderly adults.
METHODS: For 3 months, 15 women (72-85 years old) performed the walking exercise twice weekly for 90 min/session. We assessed walking for 5 m at a comfortable speed before and after the intervention. Positron emission tomography with [(18)F]fluorodeoxyglucose (FDG) was used to assess muscle activity during an unassisted 50-min walk.
RESULTS: Walking speed was improved by the intervention and FDG uptake by the gluteus minimus, gluteus medius and rectus femoris, and pelvic muscles (iliacus and gluteus muscles) were reduced.
CONCLUSION: These results suggest that a walking intervention program using an applied robotic system is useful for improving the walking ability and the efficiency of muscle activities during walking in the elderly.

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Year:  2009        PMID: 20002757     DOI: 10.1111/j.1447-0594.2009.00546.x

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  8 in total

Review 1.  Aging society and gerontechnology: a solution for an independent living?

Authors:  A Piau; E Campo; P Rumeau; B Vellas; F Nourhashémi
Journal:  J Nutr Health Aging       Date:  2014-01       Impact factor: 4.075

2.  Robotics to enable older adults to remain living at home.

Authors:  Alan J Pearce; Brooke Adair; Kimberly Miller; Elizabeth Ozanne; Catherine Said; Nick Santamaria; Meg E Morris
Journal:  J Aging Res       Date:  2012-12-04

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.  A wearable hip-assist robot reduces the cardiopulmonary metabolic energy expenditure during stair ascent in elderly adults: a pilot cross-sectional study.

Authors:  Dong-Seok Kim; Hwang-Jae Lee; Su-Hyun Lee; Won Hyuk Chang; Junwon Jang; Byung-Ok Choi; Gyu-Ha Ryu; Yun-Hee Kim
Journal:  BMC Geriatr       Date:  2018-09-29       Impact factor: 3.921

5.  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

6.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2015-08-20       Impact factor: 4.262

7.  Influence of a Soft Robotic Suit on Metabolic Cost in Long-Distance Level and Inclined Walking.

Authors:  Shanhai Jin; Shijie Guo; Hashimoto Kazunobu; Xiaogang Xiong; Motoji Yamamoto
Journal:  Appl Bionics Biomech       Date:  2018-07-05       Impact factor: 1.781

Review 8.  State-of-the-art research in robotic hip exoskeletons: A general review.

Authors:  Bing Chen; Bin Zi; Ling Qin; Qiaosheng Pan
Journal:  J Orthop Translat       Date:  2019-10-14       Impact factor: 5.191

  8 in total

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