Development of tilt table with visual feedback function for hemiplegia patients.

Area of Science:

• Rehabilitation Engineering
• Biomedical Devices
• Physical Therapy

Background:

• Prolonged immobility due to nerve damage, illness, or aging leads to muscle weakness in paralytic legs.
• Maintaining an upright posture and regaining leg muscle function are critical for patient recovery.
• Traditional rehabilitation methods may benefit from enhanced patient engagement and objective feedback.

Purpose of the Study:

• To develop an intelligent tilt table system for lower limb rehabilitation.
• To provide patients with real-time visual feedback on exercise parameters.
• To enhance the effectiveness of rehabilitation through self-monitoring.

Main Methods:

• Development of an intelligent tilt table incorporating sensors.
• Real-time measurement of knee joint angle during tilt table exercises.
• Real-time measurement of pressure distribution on each foot during exercises.
• Integration of a visual feedback system displaying measured parameters.

Main Results:

• The system successfully measures and displays knee bent angle in real time.
• The system accurately measures and displays foot pressure for each limb during exercise.
• Visual feedback of exercise parameters is provided to the patient.

Conclusions:

• An intelligent tilt table with real-time visual feedback can aid in leg muscle rehabilitation.
• Self-monitoring of knee angle and foot pressure is expected to increase patient exercise effectiveness.
• This technology offers a novel approach to improving outcomes for patients with paralytic leg conditions.