5 EMG Electrode Pairs
Five sensing sites capture muscle intent across the residual limb providing data to the prosthesis for better control.
Wearable
The Neuromuscular Interface
The first step to natural control is to bridge the data gap between the body and the prosthesis. We do this by capturing muscle activity and translating it into intuitive, real-time prosthetic control.
Silicone
Soft liner bodyLiquid Metal
Stretchable tracesCircuit Chip
Embedded sensing circuit
Features
The Interface
Stretchable Liquid Metal Traces
Self-healing conductive pathways designed to bend and stretch with the liner, supporting repeated daily wear.
Low-Profile Liner Integration
The sensing layer is built into the liner so the interface can stay comfortable and fit the standard prosthetic setup.
How It Works
From Intent to Movement
1. Muscle Intent
Muscles Fire First
When a user intends to move, their residual muscles generate Electromyography (EMG) signals much as they did before amputation.
2. EMG Signals
Five Detection Sites
The liner captures EMG channels from all major muscle groups across the residual limb.
3. Interpretation
Intent Calcuated
Machine learning models maps EMG signals into a real-time intent driven knee movement.
4. Prosthetic Control
The Knee Responds
The prosthetic knee moves into the desired position before compensatory movements are required.