Mikhail Lebedev on Muck Rack

Mikhail Lebedev

Russia
As seen in: International Data Corporation (IDC), Nature, Frontiers, MDPI, Science Magazine, Royal Society of Chemistry, Free Malaysia Today
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Articles

Wearable optomyography enables continuous neuroprosthetic control

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By Gurgen Soghoyan, Mikhail Sintsov, Mikhail Lebedev, Roman Khalikov
| Nature Verified
Abstract Wearable devices are increasingly used to enable human-machine interfaces, such as typing or cursor control, through wristbands that translate surface electromyographic (sEMG) signals into computer commands. However, traditional sEMG techniques face several limitations, including challenges with sensor fixation, signal cross-talk, instability over time, and susceptibility to electrical and mechanical artifacts.
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Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface

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By Alisa Kokorina, Nikolay Syrov, Lev Yakovlev, Mikhail Lebedev
| Frontiers
Abstract Brain–computer interfaces (BCIs) are increasingly explored as tools for post-stroke neurorehabilitation. Motor imagery (MI)-based paradigms are widely used but may be difficult for some patients to perform reliably, motivating the exploration of alternative control strategies.
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AlphaDIA enables DIA transfer learning for feature-free proteomics - Nature Biotechnology

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By Georg Wallmann, Patricia Skowronek, Mikhail Lebedev, Tim Heymann, Maximilian T. Strauss, Sander Willems, Wen-Feng Zeng
| Nature Verified
Abstract The scale of data generated for mass-spectrometry-based proteomics and modern acquisition strategies poses a challenge to bioinformatic analysis. Search engines need to make optimal use of the data for biological discoveries while remaining statistically rigorous, transparent and performant. Here we present alphaDIA, a modular open-source search framework for data-independent acquisition (DIA) proteomics.
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