ANKLEMOTUS
AnkleMotus targets the rehabilitation of the ankle joint, and it is designed based on the motion pattern of the ankle. It focuses on lower limb muscle strengthening to induce neuroplasticity for the muscle groups involved in walking, hence regaining its ability.
ANKLE JOINT REHABILITATION ROBOTICS
MULTIFUNCTIONAL
AnkleMotus is integrated with various functional training, suitable for users with the muscle power of 0 to 5. It implements the revolutionary treatment of combining motion control training with cognitive training and muscle strength training with ADL training. Available training types:
- Passive training
- Assistive training
- Active training
- Resistive training
- Cognitive training
- ROM training
- Motor control training
- Strength training
- Attention training
- Isometric training
- ADL training
- More functions...
EASY-TO-UNDERSTAND REPORTS
Fourier Intelligence's robotics are integrated with high-precision force and position sensors to measure every movement.
The device can measure a user's performance from multiple prospects, including the range of motion, strength, cognition, response time, etc. These analyses and training reports should be considered to ensure better training outcomes.
The auto-generated training reports provide measurable results for the user's and therapist's reference.
INTERACTIVE GAMIFICATION EXPERIENCE
The diversified games can simulate different realistic scenarios with the combination of visual, audio, and kinesthetics inputs to escalate the user’s experience to the next level and motivate the user's active participation.
Compared to the conventional rehabilitation process, which can be tedious, users can now overcome this by completing their rehabilitation process through gaming.
CUTTING-EDGE FORCE FEEDBACK TECHNOLOGY
Through the world’s leading force feedback algorithm and high-performance motor, AnkleMotus™ M1-A can simulate a therapist’s hand, helping the therapist save 1 million repetitive movements per year.
TRIPLE SAFETY PROTECTION
The robot's control system can continuously sense the user's muscle tension, which can automatically detect possible complications and deal with them. When the user is overloaded during the training process, the robot gradually reduces its speed until it stops to ensure safety during the training process.