Technology
Six stages sit between a muscle contraction and a moving hand, and a prosthesis that has to fit a specific person. This is how the system is put together, stage by stage.
01/ The system
From signal to movement.
Six stages sit between a muscle contraction and a moving hand. Each one is its own engineering problem.
Biological signal
Electrical activity generated by the human body contains information about intended movement.
02/ Architecture
A prosthesis should adapt to its user.
Every person differs in anatomy, muscle structure, proportions and movement patterns. So we treat the prosthesis as a modular system rather than one fixed product.
SENSOR MODULE
Signal acquisition placed against the residual limb. Electrode count and placement change per person.
ELECTRONICS
Amplification, filtering and the compute that turns raw biopotential into a decoded intent.
ACTUATION
Motors and transmission. Grip force and speed budgeted against battery and thermal limits.
STRUCTURAL CORE
The load path. Carries actuation forces into the socket without transferring them to tissue.
CUSTOM EXTERIOR
Fitted to the individual’s anatomy and proportions — the only layer most people ever see.
03/ Decoding
The system learns the person.
Instead of forcing every user to adapt to a fixed control scheme, we are building toward systems that adapt to the individual.
Surface EMG, sampled continuously.
Amplitude, timing and frequency descriptors per channel.
- CLOSE HAND97.8%
- OPEN HAND12.1%
- INDEX8.4%
HAND → CLOSE
Command issued to the actuation layer.
CONCEPTUAL DEMONSTRATIONThe values shown above are illustrative and animate on a fixed loop. They represent the structure of the decoding pipeline, not measured THALAMO performance. We have not published benchmark results.
Restoring the connection between human and machine.
We are a small team building this in Prague. If you work in prosthetics, neural interfaces, signal processing or robotics — or you would use a system like this — we want to hear from you.