Back to Search Start Over

Improved Physiological Gait in Acute and Chronic SCI Patients After Training With Wearable Cyborg Hybrid Assistive Limb

Authors :
Alexis Brinkemper
Mirko Aach
Dennis Grasmücke
Birger Jettkant
Thomas Rosteius
Marcel Dudda
Emre Yilmaz
Thomas Armin Schildhauer
Source :
Frontiers in Neurorobotics, Vol 15 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

In recent years robotic devices became part of rehabilitation offers for patients suffering from Spinal Cord Injury (SCI) and other diseases. Most scientific publications about such devices focus on functional outcome. The aim of this study was to verify whether an improvement in physiological gait can be demonstrated in addition to the functional parameters after treatment with neurological controlled HAL® Robot Suit. Fifteen subjects with acute (12 months since injury, n = 10) incomplete paraplegia (AIS B, n = 0/AIS C, n = 2/AIS D, n = 8) or complete paraplegia (AIS A, n = 5) with zones of partial preservation participated. Subjects underwent a body weight supported treadmill training for five times a week over 12 weeks using HAL®. At baseline and at the end of the study a gait analysis was performed and additional functional parameters such as 10-Meter-Walk-Test, Timed-Up-and-Go-Test, 6-Minutes-Walk-Test, and WISCI II score were collected. Results were evaluated for whole group and individually for acute and chronic subgroups. All functional parameters improved. Differences were also found in physiological parameters such as phases of gait cycle and accompanied by significant improvement in all spatiotemporal and gait phase parameters. The presented study shows signs that an improvement in physiological gait can be achieved in addition to improved functional parameters in patients with SCI after completing 12-week training with HAL®.Trial Registration: DRKS, DRKS00020805. Registered 12 February 2020—Retrospectively registered, https://www.drks.de/DRKS00020805.

Details

Language :
English
ISSN :
16625218
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurorobotics
Publication Type :
Academic Journal
Accession number :
edsdoj.7b9df02a91f5415ba6576b0883e5fe06
Document Type :
article
Full Text :
https://doi.org/10.3389/fnbot.2021.723206