· Intelligent perception and prediction: use multi-modal sensors to monitor posture and myoelectric signals in real time, accurately identify intentions such as walking and climbing, and match assistance.
· Adaptive assistance: automatically adjusts the assistance size according to the real-time gait (peak torque is usually 15-60 N·m), providing “on-demand” flexibility control.
· APP application control: Through the mobile phone APP adjustment mode (such as mountaineering/rehabilitation), viewing steps and cloud data reports, it realizes training closed-loop management.
· Portable charging: replaceable lithium battery (lasts about 2-2.5 hours), the whole machine is as light as 2.2 kg (carbon fiber material), which is convenient for daily wear.
Main rehabilitation effects:
· Improve gait and speed: Significantly improve the pace speed, step frequency and coordination of hip and knee joints, and the improvement is especially obvious for the hemiplegia side.
· Reduce metabolic energy consumption: directly assist in strength when walking and climbing, effectively reduce muscle fatigue by about 34%, and extend the activity time.
· Promote nerve remodeling: Through the “active training” mode, patients are motivated to develop their own strength. Compared with completely passive training, the rehabilitation cycle can be shortened by more than 30%.
· Restore balance ability: enhance core stability, improve Berg balance scale score, and significantly reduce the risk of falling.
Applicable scenarios:
It is mainly suitable for stroke (subacute stage), gait rehabilitation of patients with spinal cord injury, and people who have difficulty climbing and walking long distances due to the weakening of muscle strength in old age.
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