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Effect of Soft Robotic Exosuit Assistance in Healthy People

NCT05693233 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2023-01-20

No results posted yet for this study

Summary

This study aims to find out what effect there is on the difference in energy use efficiency and gait analysis when walking while wearing knee and hip assist robots based on flexible power structures for normal people. Energy consumption efficiency will measure the amount of energy metabolism and heart rate during walking for a set period of time, and for gait analysis, kinetic and kinematic data will be analyzed through 3D motion analysis. In addition, after completing the evaluation, we intend to help in future improvement of the product by collecting usability and satisfaction evaluation and improvements through questionnaires.

Conditions

  • Healthy Person

Interventions

DEVICE

EXO On, EXO Off, EXO Removed treadmill (Uphill_incline 10°) walking and simultaneous evaluation

\- After filling out the consent form for 10 subjects who meet the selection criteria, a total of three evaluations are conducted: one pre-evaluation and one post-evaluation for the knee assist robot and hip assist robot. Pre-evaluation: Evaluation simultaneously with walking on an inclined treadmill (Uphill\_incline 10°) for 5 minutes without wearing knee and hip assist robots (speed 1.5 m/s).

Sponsors & Collaborators

  • Yonsei University

    lead OTHER

Principal Investigators

  • Deog Young Kim · Severance Hospital

Study Design

Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-30
Primary Completion
2023-03-31
Completion
2023-03-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05693233 on ClinicalTrials.gov