Robot-assisted gait training on functional ambulation in patients with stroke: a retrospective real-world analysis across five robotic devices
Dougho Park, Dahyeon Koo, Gwang-Min Park, Won Hyuk Chang, Yong Wook Kim, Seo Yeon Yoon, Deog Young Kim, Dae Hyun Kim · 2026
Read Robot-assisted gait training on functional ambulation in patients with stroke: a retrospective real-world analysis across five robotic devices by Dougho Park, Dahyeon Koo, Gwang-Min Park, Won Hyuk Chang, Yong Wook Kim, Seo Yeon Yoon, Deog Young Kim, Dae Hyun Kim (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13371268.txt.
Description
Dougho Park and co-authors read robot gait training in stroke care in a 2026 study. Ward charts from 2015 to 2022 gave 2,947 patients at one site. Robot and stock care arms split the set. A win meant one point gained on a walk grade scale. Tree and pooled math hunted what calls a win and which device fits whom.
Robot users started weak yet won at near stock rates, 58.0 against 62.5 percent. On the whole, robot care tied stock care. Two of five devices beat stock odds with room; one trailed it. Balance, mind, and limb grades called who wins. The authors urge device picks fit to the patient.
Catalog record
| CREATOR | Dougho Park, Dahyeon Koo, Gwang-Min Park, Won Hyuk Chang, Yong Wook Kim, Seo Yeon Yoon, Deog Young Kim, Dae Hyun Kim |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |