ZEPU-AI3 Lower Extremity Feedback Training And Evaluation System

A robotic device designed for walking training and evaluation in rehabilitation settings. The system provides comprehensive gait assessment and therapeutic training for patients.

An intelligent rehabilitation system for the lower limbs that provides real-time feedback and training capabilities. Designed to assist patients in recovering lower limb function through guided therapeutic exercises.

Lower limb load measurement system designed for balance training and assessment. Enables evaluation and training of sitting, standing, and walking functions through integrated feedback mechanisms.

The Babybot Smart Exercise Series Leg Extension & Curl Trainer is an AI-enabled physiotherapy device designed for lower limb rehabilitation and strength assessment. It provides real-time movement analysis, fatigue evaluation, and personalized exercise protocols for patients recovering from orthopedic procedures or managing age-related muscle weakness. The system combines smart sensors with adaptive training algorithms to guide therapeutic exercises and track functional progress.

Rehabilitation requires consistent, repetitive training. Equio measures balance through its Automatic Balance Test and delivers personalized, data-driven therapy. By combining advanced sensors with a gamified environment, Equio enhances outcomes while keeping patients actively engaged. Key Features [ Balance Assessment (Automatic Balance Test) ] Objectively evaluates postural sway and center-of-gravity movement. - Compare pre- and post-treatment results - Data-driven personalized treatment plans - Integrated assessment and training [ Game-Based Therapy ] Interactive games that enhance patient motivation and participation. [ Objective Evaluation ] Precise motion tracking with sensors and algorithms to record measurable progress. [ Personalized Rehabilitation ] Adjustable therapy intensity and goals tailored to each patient. [ Efficient Treatment ] Improved clinical outcomes with optimized time and resources.

An interactive human-machine balance rehabilitation system utilizing scenario-based training, real-time data assessment, and objective measurements. It combines objective evaluation with engaging interactive training for balance disorders.

Robotic system for gait training and assessment based on neural plasticity principles. The device simulates weight distribution changes during natural walking through mechanical legs, enabling repetitive physiological gait training for functional movement restoration.

An intelligent rehabilitation system for the upper limbs featuring real-time feedback and training functions. This equipment supports patients in regaining upper limb strength and mobility through interactive rehabilitation protocols.

An intelligent rehabilitation system utilizing artificial intelligence and motion analysis to accelerate patient recovery. Provides real-time AI-powered feedback during therapeutic exercises and rehabilitation sessions.

A rehabilitation training system designed for upper limb functional impairment recovery in stroke patients during the recovery phase. The system provides feedback-based training and functional assessment capabilities for post-stroke rehabilitation of the upper extremities.

A robotic system designed for gait training and assessment in rehabilitation settings. This equipment provides intelligent feedback and training for patients requiring lower limb rehabilitation and functional assessment.

Integrated system for gait retraining and rehabilitation with real-time biomechanical feedback. Supports targeted recovery programs in clinical rehabilitation settings.