Esper Bionics - prosthetic pioneers.

New York-based engineering startup Esper Bionics has developed a prosthetic arm with intuitive self-learning technology that can predict intended movement faster than similar prosthetics.

Esper Hand uses an electromyography-based brain-computer interface (BCI) – a computer-based technology system that gathers brain activity or information – to trigger movement.

When the wearer wants to control the hand, their brain sends impulses to specific muscles to activate them. Over 30 non-invasive sensors that connect the stump socket to the wearer's skin pick up on this muscle activity or "electrical cues" and relay the information to trigger an action in the hand.

BCIs are often used by paralysis patients to control machines with just their thoughts. Dima Gazda, co-founder of Esper Bionics claims that the arm is three times faster than many of the prosthetics currently available on the market.
"We sought to create a light and durable hand with human-like dexterity that learns over time and can help people with limb differences live their best lives confidently," says Dima Gazda.

It is also beautifully designed after a human hand. In June 2022, the hand won the Best of the Best Award 2022 in Product Design from Red Dot, one of the biggest design competitions in the world.

Esper Bionics has three debut products: The Esper Hand, a bionic self-learning hand prosthesis; Esper Control, a non-invasive wearable brain-computer interface; and Esper Platform, a cloud-based software solution to individualise the control of wearables.

Currently, Esper Bionics is focused primarily on the US hand prostheses market, and its goal is to make Esper Hand the most popular hand prosthesis in the US. Once it has achieved this goal, the company plans to expand into the European Union.