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"NIIME has had the status of a resident of the special economic

Posted: Sun Jan 26, 2025 9:50 am
by tanjimajuha20
Employees of the Research Institute of Molecular Electronics (RIME) have developed an exoskeleton designed for use in rehabilitation medicine. This was reported by the head of the Department of Investment and Industrial Policy of the City of Moscow, which is part of the complex of economic policy and property and land relations of the capital, Vladislav Ovchinsky.

zone (SEZ) of Moscow brazil cell phone number list since 2015. The company conducts research and development work in the field of micro- and nanoelectronics. Currently, over 600 highly qualified specialists work at NIIME, including three academicians and two corresponding members of the Russian Academy of Sciences, more than 70 doctors and candidates of science. The new development will be in demand primarily in medicine, for example, in the rehabilitation of patients after a stroke," said Vladislav Ovchinsky.

The creators of the unique exoskeleton believe that the main drawback of the models available in the world is their control principle. To make such exoskeletons move, you need to press a button on the remote control. In industrial exoskeletons, control is often transferred to the operator. Another drawback of most models is the pre-programmed trajectory of the exoskeleton's movement, regardless of the user's wishes and physiology.

"Employees of the Technopolis Moscow SEZ resident, the Molecular Electronics Research Institute, have created a platform for an active hand exoskeleton with neural network muscle control to solve medical, industrial, rescue and special tasks. It is based on an innovative proprietary control principle," noted Gennady Degtyarev, CEO of the Technopolis Moscow SEZ.

The market for exoskeletons is growing annually, demonstrating high potential in industries that require enhanced human physical capabilities. For example, in emergency response, construction, or industry.

"We propose non-invasively reading electromyographic signals from human muscles and recording the actual position of the hand. A trained neural network will predict the most probable trajectory in the interval of 0.2 - 0.3 milliseconds using this data. In this way, we obtain active amplification of natural movement, quickly and accurately predicting the trajectory of various movements taking into account the individual physical characteristics of the user. The author of the idea and the leader of the team is a research fellow of the laboratory and a master's student of the Moscow Institute of Physics and Technology Herman Karnup," emphasized Oleg Telminov, head of the target search laboratory of the NIIME for the study of neuromorphic systems.

Currently, the developers are consulting with the rehabilitation centers of Sechenov University, the National Medical and Surgical Center named after N. I. Pirogov, and the rehabilitation center "Three Sisters".