Literature DB >> 31323516

Acute stroke rehabilitation for gait training with cyborg type robot Hybrid Assistive Limb: A pilot study.

Chiaki Yokota1, Yukio Yamamoto2, Masatoshi Kamada3, Michikazu Nakai4, Kunihiro Nishimura5, Daisuke Ando6, Takeo Sato6, Masatoshi Koga7, Masafumi Ihara8, Kazunori Toyoda9, Yasuyuki Fujimoto10, Hirotaka Odani11, Kazuo Minematsu12, Takashi Nakajima13.   

Abstract

Robot-assisted gait training following acute stroke could allow patients with severe disability to receive a high dosage and intensity of gait training compared with conventional physical therapy (CP). However, given the limited data on gauging the efficacy of Hybrid Assistive Limb (HAL) on gait training in patients with acute stroke, we aimed to evaluate several outcome measures following gait training with HAL. Patients with first-ever stroke, who required a walking aid and were able to start gait training within 1 week of stroke onset were included in the current study. Patients were assigned to either the CP or HAL group. Outcome measures were collected at baseline, and at the 2nd (at 2-6 weeks), and 3rd (at 3-5 months) assessments. All patients underwent physical therapy until the 3rd assessment; patients in the HAL group underwent gait training using HAL until the 2nd assessment. Thirty-seven patients (19 from CP and 18 from HAL, median age = 69 years) completed the study. At the 2nd assessment, the total Functional Independence Measure (FIM) score was higher in the HAL group than in the CP group (90.1 vs. 79.0, p = 0.042). In conclusion, the FIM scale could be used to identify responsiveness to acute stroke rehabilitation using HAL.
Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute stroke; FIM; Gait training; HAL; Measures; Robot-assisted rehabilitation

Year:  2019        PMID: 31323516     DOI: 10.1016/j.jns.2019.07.012

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

1.  Effects of Long-term Hybrid Assistive Limb Use on Gait in Patients with Amyotrophic Lateral Sclerosis.

Authors:  Harumi Morioka; Kiyoko Murata; Tatsuki Sugisawa; Mari Shibukawa; Junya Ebina; Masahiro Sawada; Sayori Hanashiro; Junpei Nagasawa; Masaru Yanagihashi; Takehisa Hirayama; Masayuki Uchi; Kiyokazu Kawabe; Satoru Ebihara; Yoshitaka Murakami; Takashi Nakajima; Osamu Kano
Journal:  Intern Med       Date:  2022-05-15       Impact factor: 1.282

Review 2.  A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders.

Authors:  Marios Spanakis; Ioanna Xylouri; Evridiki Patelarou; Athina Patelarou
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

3.  Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.

Authors:  Xia Liang; Yanhong Yu
Journal:  Comput Math Methods Med       Date:  2022-07-26       Impact factor: 2.809

4.  Optimal Intervention Timing for Robotic-Assisted Gait Training in Hemiplegic Stroke.

Authors:  Lingchao Xie; Bu Hyun Yoon; Chanhee Park; Joshua Sung H You
Journal:  Brain Sci       Date:  2022-08-10

5.  Efficacy and Safety Study of Wearable Cyborg HAL (Hybrid Assistive Limb) in Hemiplegic Patients With Acute Stroke (EARLY GAIT Study): Protocols for a Randomized Controlled Trial.

Authors:  Hiroki Watanabe; Aiki Marushima; Hideki Kadone; Yukiyo Shimizu; Shigeki Kubota; Tenyu Hino; Masayuki Sato; Yoshiro Ito; Mikito Hayakawa; Hideo Tsurushima; Kazushi Maruo; Yasushi Hada; Eiichi Ishikawa; Yuji Matsumaru
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

6.  Cybernic treatment with wearable cyborg Hybrid Assistive Limb (HAL) improves ambulatory function in patients with slowly progressive rare neuromuscular diseases: a multicentre, randomised, controlled crossover trial for efficacy and safety (NCY-3001).

Authors:  Takashi Nakajima; Yoshiyuki Sankai; Shinjiro Takata; Yoko Kobayashi; Yoshihito Ando; Masanori Nakagawa; Toshio Saito; Kayoko Saito; Chiho Ishida; Akira Tamaoka; Takako Saotome; Tetsuo Ikai; Hisako Endo; Kazuhiro Ishii; Mitsuya Morita; Takashi Maeno; Kiyonobu Komai; Tetsuhiko Ikeda; Yuka Ishikawa; Shinichiro Maeshima; Masashi Aoki; Michiya Ito; Tatsuya Mima; Toshihiko Miura; Jun Matsuda; Yumiko Kawaguchi; Tomohiro Hayashi; Masahiro Shingu; Hiroaki Kawamoto
Journal:  Orphanet J Rare Dis       Date:  2021-07-07       Impact factor: 4.123

  6 in total

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