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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Зрительная обратная связь – зеркальная терапияи в нейрореабилитации

Анналы неврологии. 2012. Т. 6. № 4. С. 36–40.
Nazarova M., Пирадов М. А., Черникова Л. А.
Language: Russian
Text on another site
Keywords: инсультзеркальная терапияфантомные боли
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Brain–computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and software are constantly being improved. Despite the positive treatment results and the availability of registered medical devices, ...
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Introduction. Non-invasive brain–computer interfaces (BCIs) enable feedback motor imagery [MI] training in neurological patients to support their motor rehabilitation. Nowadays, the use of BCIs based on functional near-infrared spectroscopy (fNIRS) for motor rehabilitation is yet to be investigated. Objective: To evaluate the potential fNIRS BCI use in hand MI training for comprehensive post-stroke rehabilitation. Materials ...
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The advancement of novel technologies for the rehabilitation of post-stroke patients represents a significant challenge for a range of interdisciplinary fields. Near-infrared spectroscopy (NIRS) is an optical neuroimaging technique based on recording local hemodynamic changes at the cerebral cortex level. The technology is typically employed in post-stroke patients for diagnostic purposes, including the assessment of ...
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КОНЦЕПЦИЯ УСТРОЙСТВА ПОСТИНСУЛЬТНОЙ РЕАБИЛИТАЦИИ МОТОРИКИ ВЕРХНИХ КОНЕЧНОСТЕЙ
Тарасов В. В., Lyaskovsky A., В кн.: Сборник трудов XXII Международной научно-практической конференции. Посвящается 80-летию президента РТУ МИРЭА, академика РАН, доктора физико-математических наук, профессора А.С. Сигова.: Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2025. С. 198–201.
Stroke is a leading cause of long-term motor impairment, significantly limiting patients' functional capabilities and reducing their quality of life. Modern approaches to post-stroke rehabilitation include the use of robotic technologies aimed at restoring motor function. This article presents the concept of a robotic device that uses an on-demand assistance approach to adapt the level ...
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While the outcomes of stroke in adults are relatively well-studied, our understanding of pediatric stroke remains limited. One of the key questions is how the characteristics of a stroke—such as its size and location—influence cognitive outcomes as children grow. In particular, extensive infarcts, widely linked to poor prognoses in adult stroke patients, have not been ...
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Non-invasive brain stimulation (NIBS) techniques combined with behavioral speech/language therapies have recently been suggested as a promising method for language recovery in people with aphasia (PWA). Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are currently the most common types of NIBS for aphasia rehabilitation. In this study, we combined either rTMS ...
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Transcranial magnetic stimulation is a method of focal non-invasive brain stimulation, characterized by high spatial and temporal resolution. To date, diagnostic transcranial magnetic stimulation has been used in clinical practice primarily to assess an involvement of the upper motor neurons and to measure the velocity of the neuronal impulse propagation. However, in the last 10 ...
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In recent years, possible therapeutic effects of transcranial direct current stimulation (tDCS) have been widely investigated in studies dealing with different types of neural pathologies. Initially, tDCS was applied for treatment of patients with motor stroke; later on, it was introduced into studies of patients with Alzheimer’s disease, multiple sclerosis, Parkinson’s disease, schizophrenia and poststroke aphasia. Recent reviews ...
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“The Leg,” seemingly a marginal piece of Faulkner’s Gothic written in the mid-twenties and first published in 1934, was translated and pirated into the Soviet Union along with the rest of the Collected Short Stories of William Faulkner in 1977. Over a dozen years later, Director Nikita Tyagunov spotted “The Leg” as a perfect story ...
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Nazarova M., В кн.: Восстановительная неврология, инновационные технологии в нейрореабилитации.: М.: Издательство "Медицинское информационное агентство", 2016. Гл. 6 С. 138–158.
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Восстановительная неврология, инновационные технологии в нейрореабилитации
М.: Издательство "Медицинское информационное агентство", 2016.
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