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Brain-Computer Interfaces for Gait Rehabilitation After Stroke A Scoping Review
American Journal of Physical Medicine and Rehabilitation. 2026. Vol. 105. No. 6. P. 555–563.
Mokienko O., Zisman M. A., Bobrov P., Ustinova K. I.
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function rehabilitation in stroke patients. A systematic literature search was conducted in PubMed, Scopus, and Web of Science databases. The inclusion criteria were as follows: studies involving adult patients with poststroke hemiparesis; implementation of noninvasive BCIs specifically targeting lower limb rehabilitation; and detailed reporting of training protocols. Quality assessment was conducted using the National Institutes of Health Study Quality Assessment Tools. Twenty-two studies were included in the analysis with the following results. Electroencephalography-based BCIs integrated with functional electrical stimulation of muscles (EEG-BCI- FES) represent the most extensively investigated technology in this field, with efficacy and safety demonstrated in 3 randomized controlled trials (RCTs) and 1 non-RCT. BCI systems integrated with mechanical devices have been less studied, with evidence from 2 RCTs, while systems with only visual feedback have also been evaluated in 2 RCTs. For BCIs with exoskeletons, only technical feasibility has been demonstrated. Further research is needed to optimize training protocols and study the long-term effects of using BCI for rehabilitation.
Language:
English
Ефимов К. Д., Журнал Новой экономической ассоциации 2026 № 72 С. 105–114
This study proposes a method for automatic detection of collusive behavior in electronic public procurement auctions based on analysis of the full bid trajectory. The empirical dataset comprises 508 auction histories from 2016–2020 collected from the RTS tender e-procurement platform; the positive class is labeled using case materials of the Federal Antimonopoly Service (FAS Russia), ...
Added: November 13, 2026
Sergey N. Koltcov, Budkovaia M., Surkov A. et al., IEEE Journal of Biomedical and Health Informatics 2026 P. 1–10
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Added: November 13, 2026
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Added: November 12, 2026
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Added: November 10, 2026
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Added: November 10, 2026
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This volume is Part VIII of the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, September 7–11, 2026. It contains 40 papers from the Research Track and the Applied Data Science Track and is published as volume 16948 of Lecture Notes in ...
Added: November 9, 2026
Avdoshin S.M., Pesotskaya E.Y., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 6, part 2 P. 133–146
Artificial intelligence has significantly reshaped contemporary software engineering practice,
changing how software systems are designed, implemented, tested, and maintained. Recent advances in large
language models and AI-assisted development tools have expanded the role of AI from supporting isolated
tasks to participating in multiple stages of the software lifecycle. In many development settings, software is
now created from high-level specifications ...
Added: November 8, 2026
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Abstract
Automated interpretation of magnetic flux leakage (MFL) data is central to condition assessment of long-distance oil and gas pipelines. Yet, full-resolution panoramas are difficult to process without either suppressing small anomalies through resizing or fragmenting elongated objects at sliding-window boundaries. We propose MFL-ScrollNet, a recurrent sliding-window detector that formulates panoramic analysis as an ordered sequence ...
Added: November 8, 2026
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Added: November 7, 2026
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Added: November 7, 2026
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Efficient management of the Key-Value (KV) cache is essential for deploying large language models (LLMs) in long-context scenarios, where memory requirements often exceed the capacity of resource-constrained hardware. Many existing training-free compression algorithms typically rely on attention-driven heuristics, but exhibit two key limitations. First, they require explicit attention score computation, which is difficult to reconcile ...
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Automatic classification of aphasia severity presents persistent challenges, particularly for languages with limited clinical speech re sources such as Russian. This paper explores a multimodal approach to severity estimation that combines acoustic and semantic representa tions of pathological speech. Acoustic features are extracted using pretrained Wav2Vec 2.0 models, while semantic information is obtained from the ...
Added: November 4, 2026
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Added: November 3, 2026
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Added: November 3, 2026
Kuznetsov S., CEUR Workshop Proceedings 2026 Vol. Vol-4247 P. 27–32
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Added: November 2, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., Труды Института системного программирования РАН 2025 Т. 37 № 6-1 С. 7–20
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Added: October 31, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 4-1 С. 7–24
В статье усовершенствуется предложенная в предыдущей статье авторов модель кластеризованной распределённой сети с опросом, соответствующая сервис-ориентированной архитектуре. Целью опроса является нахождение ближайшего узла, готового оказать требуемую услугу (сервис) как можно раньше. Предлагаемые алгоритмы обеспечивают достижимость узлов, отсутствие дублирования сообщений, и обмен сообщениями с найденным узлом по кратчайшему пути. Кластеризованность сети означает, что в графе сети ...
Added: October 31, 2026
Люкманов Р. Х., Исаев М. Р., Mokienko O. et al., Анналы клинической и экспериментальной неврологии 2023 Т. 17 № 4 С. 82–88
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 ...
Added: March 18, 2026
Frolov A., Mokienko O., Lyukmanov R. et al., Frontiers in Neuroscience 2017 Vol. 11 Article 400
Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity was recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions. However, there are only a few clinical studies that investigate feasibility and effectiveness of such an approach. Here we report on a placebo-controlled, multicenter clinical ...
Added: March 9, 2026
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Added: January 18, 2026
Son Z., Brill, 2025.
This book offers the first comprehensive exploration of the history of Soviet Koreans (1920s-1930s), focusing into their experiences in the USSR. It examines the impact of Stalin's foreign and domestic policies on
Soviet Koreans, their role in the socio-economic development of the Far East, and their contributions to the Red Army, as well as the cultural ...
Added: December 25, 2025
Ионцев М. А., Государственная служба 2023 Т. 25 № 2 (142) С. 109–118
This article examines the key issues concerning opening rehabilitation procedures in the French legal system. The author examines the presumptions for consolidating or rebutting the need for procedures aimed at the debtor’s welfare. The rehabilitation procedure has economicand legal aspects, which are interconnected. The first comes down to the fact that the rehabilitative procedure depends ...
Added: November 7, 2025