UGO Rehabilitation Exoskeleton (Household Use)
The UGO exoskeleton for household usage is adaptive to self-rehabilitation at home. Mechanical fixation and strap protection are incorporated to provide overall security. Users can manually adjust the scale of the equipment according to body parameters. Easy to learn and operate, UGO allows non-professionals to assist patients in using it after learning.
Product Features
Safety and Effectiveness
Approved NMPA Certificates
Intent Detection
Multi-sensor Integration
Gait Regulation
Standard Gait Training
Bionic Design
Comply with Human’s Way of Movement
Cloud Data
Better Rehabilitation Assessment
Standard Gait Training
UGO provides repetitive and accurate walking training of high frequency, establishing normal gait and improving patients’ overall level of movement.
Full-cycle Rehabilitation
In addition to passive training which relies solely on equipment, a variety of active and active-passive-combined training modes are also available.Together with the online intelligent assessment, training programs can be tailored to suit different.
Cloud-based User Management
We employ digital rehabilitation management. Cloud-based data management of users, institutions, and equipment facilitates intelligent rehabilitation and standardized records so that the programs are more scientific to help with training assessment and development.
Humanized Design
UGO is quick and comfortable to wear with its leg lengths electrically adjustable and its interactive video screen. Its mechanical fixation and strap protection effectively prevent patients from secondary injury.
Safety and Compliance
In addition to the Class II medical registration by the State Food and Drug Administration, the product has also received a series of international awards, including the iF Design, Red Dot, DIA, and Gold Dot, and has been awarded as an innovative medical device in the industry. The anti-misconduct module, emergency stop button, and removable support frame provide multiple safeguards.
Accessories
Scenarios
Recommendation