Effects of high-intensity interval robot-assisted gait training on cardiopulmonary function and walking ability in chronic stroke survivors: A multicenter single-blind randomized controlled trial

  • Junghwa Do
  • , Woo Taek Lim
  • , Dae Yul Kim
  • , Eun Jae Ko
  • , Myoung Hwan Ko
  • , Geon Woo Kim
  • , Ji Hye Kim
  • , Soo Bin Kim
  • , Hwal Kim

Research output: Contribution to journalJournal articlepeer-review

Abstract

BACKGROUND: Chronic stroke can impair cardiopulmonary function, mobility, and daily activities. This study assessed the impact of robot-assisted gait training (RAGT) on such impairments. OBJECTIVE: To investigate the effects of robot-assisted gait training on cardiopulmonary function, walking ability, lower extremity function and strength, activities of daily living (ADLs), and blood test results among individuals with chronic stroke. METHODS: A multicenter, prospective, single-blinded, randomized controlled trial with 22 chronic stroke participants compared RAGT against a control exercise regimen. RAGT involved three days weekly sessions of high-intensity interval training for 8 weeks (24 sessions) with a Morning Walk® device. The control group also performed home exercises. (24 sessions) Measures included VO2max, Functional Ambulatory Category, 2-minute walk test, 10-meter walk test, Motricity Index-Lower, Korean version of the Fugl-Meyer Assessment Scale, Modified Barthel Index, Berg Balance Scale, muscle strength, InBody body composition, and blood tests (cholesterol, lipid, glucose). RESULTS: RAGT significantly improved VO2max, gait, balance, and lower limb strength compared with controls, with significant improvements in 2-minute walk test, 10-meter walk test, Motricity Index-Lower, and Fugl-Meyer Assessment outcomes. No changes were seen in muscle mass or blood markers. CONCLUSION: RAGT enhances cardiopulmonary function and ambulatory capacity in chronic stroke patients, underscoring its potential in stroke rehabilitation.

Original languageEnglish
Pages (from-to)1309-1319
Number of pages11
JournalJournal of back and musculoskeletal rehabilitation
Volume37
Issue number5
DOIs
StatePublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cerebrovascular accident
  • high-intensity interval training
  • rehabilitation
  • robotics

Quacquarelli Symonds(QS) Subject Topics

  • Medicine
  • Sports-related Subjects

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