Stradivary — Myoelectric upper limb prostheses

High-functionality bionic hands for disabled people in the modern world. You can successfully perform everyday tasks, pay in stores by touching payment terminal, call and interact with IoT.

Bionic prostheses help use successfully such things like a spoon, a fork, a ballpoint pen, etc.

Principle of work

A myocontrol system (reading electrical pulses from muscles) is used for reading electrical potential produced by muscles during contraction and then transmits it to the microprocessor that processes the signal and makes the prosthesis move.

Characteristics of the product

  • Force at the tip of the finger to 15 N (for a multi functional prosthesis with an individual finger drive);
  • Total effort of grasping up to 150N (for a low-functional prosthesis with one kind of grasping);
  • The gripping speed is proportionally controlled by the user from 0.5 to 5 s;
  • The time of active work (the performance of grasps without interruption, with alternation) 36 hours;
  • Number of gestures/clasps up to 14;
  • The weight of the wrist module is up to 500 grams, the total weight of the forearm bionic prosthesis with battery is from 1 to 1.6 kg (equivalent to the weight of the lost limb for restoring balance);
  • Wrist size is similar to the average size of an adult’s wrist;
  • The width of the palm is about 80 mm, the mounting flange of the wrist is round or oval with passive rotation;
  • Full charge time: 2 hours;
  • Guarantee: 1 year.


Our aim is not to release a prosthesis with capabilities close to a real hand but to try to surpass them. Among such advantages there can be ability to payment, control of home digital equipment, integration of the smartphone functionality and color display.

Effectively wearable computer
Prosthetic will have wi-fi access, built-in touchscreen, voice search and will be able to respond to messages, play music, shop, book a flight and more. Prosthetic hand turns to be a control panel for any home electronic devices, from the kettle to the TV.

Device control based on neural network
System trains the neural network and creates individual settings for prosthetic device control according to the characteristics of the patient like a signal strength, a muscle activity and a muscle positioning.

Rehabilitation system for using prosthesis by applying a virtual reality (VR)
Rehabilitation system helps to learn using prosthesis during production until the prosthesis is ready. It will reduce the time required to develop the prosthesis and increase the level of possession of the prosthesis.

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