Effects on the Motor Function, Proprioception, Balance, and Gait Ability of the End-Effector Robot-Assisted Gait Training for Spinal Cord Injury Patients

Effect of robot-assisted stair climbing training as part of a rehabilitation program to improve pulmonary function, gait performance, balance, and exercise capacity in a patient after severe coronavirus disease 2019: a case report

BACKGROUND

Severe coronavirus disease 2019 (COVID-19) infection may decrease respiratory and physical functions.

OBJECTIVE

To evaluate whether robot-assisted stair climbing training (RASCT) would improve pulmonary and physical functions in a patient post-severe COVID-19 infection.

CASE DESCRIPTION

A 48-year-old woman who had experienced severe COVID-19 underwent a 6-week inpatient rehabilitation. She persistently exhibited impaired pulmonary and physical functions, including walking and balance impairment. We provided a 30-min outpatient RASCT biweekly for 6 weeks.

OUTCOMES

After training, maximal inspiratory and maximal expiratory pressures improved from 81 and 74 cmH2O to 104 and 81 cmH2O, respectively. The walking speed improved from 1.15 to 1.21 m/s. In balance ability, physical performance battery score and timed up-and-go test improved from 8 to 11 s and 10.89 to 9.95 s, respectively. Regarding exercise capacity, the 6-min walk test distance improved from 453 to 482 m, and the number of 1-min sit-to-stand test improved from 20 to 23, with improved pulse rate and saturation level. The physical and psychological domain scores of the World Health Organization Quality-of-Life Scale-BREF improved from 44 to 63 and 69 to 81, respectively; Falls Efficacy Scale-International scores improved from 38 to 21.

CONCLUSION

RASCT, as part of a rehabilitation plan, was feasible and effective for this patient after severe COVID-19 infection.

Robot-Assisted Gait Training in Individuals With Spinal Cord Injury: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Spinal cord injury (SCI) rehabilitation emphasizes locomotion. Robotic-assisted gait training (RAGT) is widely used in clinical settings because of its benefits; however, its efficacy remains controversial. We conducted a systematic review and meta-analysis to investigate the efficacy of RAGT in patients with SCI. We searched international and domestic databases for articles published until April 18, 2024. The meta-analysis employed a random effects model to determine the effect size as either mean difference (MD) or standardized MD (SMD). Evidence quality was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Twenty-three studies with a total of 690 participants were included in the final analysis. The overall pooled effect size for improvement in activities of daily living was 0.24, with SMD (95% confidence interval [95% CI], 0.04-0.43; GRADE: high) favoring RAGT over conventional rehabilitation. Muscular strength (MD, 0.23; 95% CI, 0.02-0.44; GRADE: high), walking index for SCI (MD, 0.31; 95% CI, 0.07-0.55; GRADE: moderate) and 6 min walk test distance (MD, 0.38; 95% CI, 0.14-0.63; GRADE: moderate) showed significant improvement in the robot group. Subgroup analysis revealed that subacute patients and intervention periods >2 months were more effective. This meta-analysis revealed that RAGT significantly improved activities of daily living, muscular strength, and walking abilities. Additional studies are needed to identify the optimal treatment protocol and specific patient groups for which the protocol is most effective.

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches

Due to the growth of sensor technology, more affordable integrated circuits, and connectivity technologies, the usage of wearable equipment and sensing devices for monitoring physical activities, whether for wellness, sports monitoring, or medical rehabilitation, has exploded. The current literature review was performed between October 2022 and February 2023 using PubMed, Web of Science, and Scopus in accordance with P.R.I.S.M.A. criteria. The screening phase resulted in the exclusion of 69 articles that did not fit the themes developed in all subchapters of the study, 41 articles that dealt exclusively with rehabilitation and orthopaedics, 28 articles whose abstracts were not visible, and 10 articles that dealt exclusively with other sensor-based devices and not medical ones; the inclusion phase resulted in the inclusion of 111 articles. Patients who utilise sensor-based devices have several advantages due to rehabilitating a missing component, which marks the accomplishment of a fundamental goal within the rehabilitation program. As technology moves faster and faster forward, the field of medical rehabilitation has to adapt to the time we live in by using technology and intelligent devices. This means changing every part of rehabilitation and finding the most valuable and helpful gadgets that can be used to regain lost functions, keep people healthy, or prevent diseases.

Effects of end-effector robot-assisted gait training on gait ability, muscle strength, and balance in patients with spinal cord injury

BACKGROUND

There is no randomized controlled study about the effects of end-effector robot-assisted gait training (RAGT) in patients with spinal cord injury (SCI).

OBJECTIVE

To examine the effects of end-effector RAGT on gait and balance abilities in SCI.

METHODS

Thirty-one patients were randomly assigned to the RAGT (Morning Walk®, Curexo, Seoul, South Korea) or conventional therapy (CT) group. Patients were assessed using the 10-meter walk test (10MWT), 6-minute walk test (6mWT), lower extremity motor score (LEMS) and proprioception, Berg Balance Scale (BBS), Walking Index for Spinal Cord Injury-II (WISCI-II), and mobility category of Spinal Cord Independence Measure-III.

RESULTS

All clinical outcome measures significantly improved in both groups. The BBS and WISCI-II were significantly improved in the RAGT group compared to the CT group. In the RAGT group, pre-LEMS and pre-WISCI-II of the 10MWT improved group and pre-BBS of the 6mWT improved group were higher than those of the 10MWT non-improved and 6mWT non-improved group, respectively.

CONCLUSION

End-effector RAGT and CT in patients with incomplete SCI could lead to improvements in gait ability, lower extremity muscle strength, balance, proprioception, and mobility. Additionally, end-effector RAGT could improve balance and gait abilities substantially better than CT.

Use of Robotic Devices for Gait Training in Patients Diagnosed with Multiple Sclerosis: Current State of the Art

Multiple sclerosis (MS) is a neurodegenerative disease that produces alterations in balance and gait in most patients. Robot-assisted gait training devices have been proposed as a complementary approach to conventional rehabilitation treatment as a means of improving these alterations. The aim of this study was to investigate the available scientific evidence on the benefits of the use of robotics in the physiotherapy treatment in people with MS. A systematic review of randomized controlled trials was performed. Studies from the last five years on walking in adults with MS were included. The PEDro scale was used to assess the methodological quality of the included studies, and the Jadad scale was used to assess the level of evidence and the degree of recommendation. Seventeen studies met the eligibility criteria. For the improvement of gait speed, robotic devices do not appear to be superior, compared to the rest of the interventions evaluated. The methodological quality of the studies was moderate–low. For this reason, robot-assisted gait training is considered just as effective as conventional rehabilitation training for improving gait in people with MS.