• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • ECoG Based Classification of Hand Movement Direction in The Stylus Center-Out Paradigm
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

ECoG Based Classification of Hand Movement Direction in The Stylus Center-Out Paradigm

P. 86–89.
Makarova A., Volkova K., Ossadtchi A., Lebedev M.

Brain-computer interfaces (BCIs) based on electrocorticographic (ECoG) activity has become relatively popular due to sensitivity of ECoG to specific details of actual and imagined actions. It has been shown that significant differences in the brain activity while performing hand movements in different directions can be found in relation to cosine tuning theory. This research seeks to investigate brain activity properties during performance hand motor tasks and distinguish its special patterns for the future ECoG BCIs.

Language: English
Full text
DOI
Text on another site
Keywords: ECoGЭКоГBCIинтерфейсы мозг-компьютер
Publication based on the results of:
Двунаправленные электрокортикографические интерфейсы мозг-компьютер для управления, стимуляции и коммуникации (2020)

In book

2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022
IEEE, 2022.
Similar publications
Нейрокомпьютерные интерфейсы, основанные на регистрации спектроскопии в ближней инфракрасной области и электроэнцефалографии, в постинсультной реабилитации: сравнительное исследование
Mokienko O., Люкманов Р. Х., Bobrov P. et al., Неврология, нейропсихиатрия, психосоматика 2024 Т. 16 № 5 С. 17–23
Motor imagery training under the control of a brain-computer interface (BCI) facilitates motor recovery after stroke. The efficacy of BCI based on electroencephalography (EEG-BCI) has been confirmed by several meta-analyses, but a more convenient and noise-resistant method of near-infrared spectroscopy in the BCI circuit (NIRS-BCI) has been practically unexamined; comparisons of the two types of ...
Added: March 18, 2026
Активность мышц нижних конечностей в условиях управления нейроинтерфейсом: нейроинтерфейс, основанный на воображении тыльного сгибания стоп
Решетникова В. В., Боброва Е. В., Гришин А. А. et al., Журнал высшей нервной деятельности им. И.П. Павлова 2025 Т. 75 № 3 С. 313–326
Neurorehabilitation of motor functions using a neurointerface (BCI) with feedback is a modern promising area of research. However, there is very little data on muscle activity during the motor imagery of lower limb – an important aspect of rehabilitation. The EMG activity of the lower limb muscles was studied in 42 healthy participants which control ...
Added: March 11, 2026
A reliable and reproducible real-time access to sensorimotor rhythm with a small number of optically pumped magnetometers
Fedosov N., Medvedeva D., Shevtsov O. et al., Journal of Neural Engineering 2025 No. 22 Article 046031
Objective. Recent advances in biomagnetic sensing have led to the development of compact, wearable devices capable of detecting weak magnetic fields generated by biological activity. Optically pumped magnetometers (OPMs) have shown significant promise in functional neuroimaging. Brain rhythms play a crucial role in diagnostics, cognitive research, and neurointerfaces. Here we demonstrate that a small number of ...
Added: September 5, 2025
Towards stimulation-free automatic electrocorticographic speech mapping in neurosurgery patients
Voskoboynikov A., Magomed Aliverdiev, Yulia Nekrasova et al., Journal of Neural Engineering 2025 Vol. 22 No. 5 Article 056002
Objective. The precise mapping of speech-related functions is crucial for successful neurosurgical interventions in epilepsy and brain tumor cases. Traditional methods like electrocortical stimulation mapping (ESM) are effective but carry a significant risk of inducing seizures. Methods. To address this, we have prepared a comprehensive ESM + electrocorticographic mapping (ECM) dataset from 14 patients with chronically implanted stereo-EEG electrodes. Then ...
Added: September 2, 2025
Prestimulus beta rhythm influence reaction time during real-time brain-dependent stimuli presentation
Aksiotis V., Alexei Ossadtchi, , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022. P. 6–9.
In the present study, a fast and adaptive technique for the presentation of stimuli based on ongoing brain rhythm is described. Sensorimotor cortical mu rhythm (divided by two components: alpha (mu) and beta) was used as target for assessment of prestimulus rhythm’s power influence on the consequent reaction time. The final sample consisted of 15 ...
Added: December 16, 2022
Exploration of Cortical Dynamics in the Center-Out with Stylus Paradigm
Makarova A., Volkova K., Lebedev M. et al., , in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2021. P. 64–66.
This study aims to identify correlations between the directions of the hand movements and the brain signals recorded from the brain surface using electrocorticography (ECoG). We suppose that the coding of the hand movement direction occurs in the motor cortex and could be detected with ECoG. Using representational similarity analysis (RSA) and the cosine tuning ...
Added: December 9, 2022
Decoding аnd Interpreting Cortical Signals With A Compact Convolutional Neural Network
Petrosyan A., Синкин М. В., Lebedev M. et al., Journal of Neural Engineering 2021 Vol. 18 Article 026019
Abstract Objective. Brain–computer interfaces (BCIs) decode information from neural activity and send it to external devices. The use of Deep Learning approaches for decoding allows for automatic feature engineering within the specific decoding task. Physiologically plausible interpretation of the network parameters ensures the robustness of the learned decision rules and opens the exciting opportunity for automatic knowledge ...
Added: January 24, 2022
Motor-Imagery BCI with Low-Count of Optically Pumped Magnetometers
Fedosov N., Shevtsov O., Ossadtchi A., , in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2021. P. 16–18.
Added: December 8, 2021
Improving motor imagery classification during induced motor perturbations
Vidaurre C., Jorajuría T., Ramos-Murguialday A. et al., Journal of Neural Engineering 2021 Vol. 18 No. 4 Article 0460b1
Objective.Motor imagery is the mental simulation of movements. It is a common paradigm to design brain-computer interfaces (BCIs) that elicits the modulation of brain oscillatory activity similar to real, passive and induced movements. In this study, we used peripheral stimulation to provoke movements of one limb during the performance of motor imagery tasks. Unlike other ...
Added: September 8, 2021
Generating Handwriting from Multichannel Electromyographic Activity
Lebedev M., Ossadtchi A., Okorokova L. et al., , in: Brain–Computer Interface Research. A State-of-the-Art Summary 8.: Springer, 2020. P. 11–23.
Handwriting is an advanced motor skill and one of the key developments in human culture. Here we show that handwriting can be decoded—offline and online—from electromyographic (EMG) signals recorded from multiple hand and forearm muscles. We convert EMGs into continuous handwriting traces and into discretely decoded font characters. For this purpose, we use Wiener and ...
Added: February 4, 2021
Области применения нейротехнологий в реальном секторе экономики
Kardonov Y., Инновации и инвестиции 2020 № 8 С. 191–193
Neurotechnologies are used in various areas of the real economy. The article analyzes the solutions of companies in the field of neurotechnology to identify the main areas of commercial application of such solutions. The classification of these solutions is given for such areas of application as assessment and development of skills using neurotechnology, neuromarketing, neurocontrol, ...
Added: January 9, 2021
Decoding Movement From Electrocorticographic Activity: A Review
Volkova K., Lebedev M., Kaplan A. et al., Frontiers in Neuroinformatics 2019 No. 13 P. 1–20
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive methods. ECoG is routinely used in clinical practice for preoperative cortical mapping in epileptic patients. During the last two ...
Added: April 4, 2020
Long-term electrocorticographic monitoring and pathological high-frequency oscillations in tumor-related epilepsy
Arkhipova N., Aleksandrov M., Chukhlovin A. et al., Clinical Neurophysiology 2017 Vol. 128 No. 9 P. e288
Added: June 26, 2018
Условно-патологический альфа-паттерн как вариант ЭЭГ бодрствования при фармакорезистентной эпилепсии
Arkhipova N., Чухловин А. А., Aleksandrov M. et al., Педиатр 2017 Т. 8 № 4 С. 48–56
В результате патоморфоза механизмов генерации биоэлектрической активности при развернутой клинической картине эпилепсии на интериктальной ЭЭГ возможна редукция эпилептиформных изменений. В таких случаях может регистрироваться паттерн с доминирующей альфа-активностью. Целью исследования являлась систематизация вариантов альфа-активности у пациентов с фармакорезистентной эпилепсией. Обследована группа из 50 пациентов с фармакорезистентной эпилепсией в возрасте от 20 до 55 лет, находившихся на лечении в клинике Российского ...
Added: June 26, 2018
Условно-патологический альфа-паттерн как вариант ЭЭГ бодрствования при фармакорезистентной эпилепсии
Чухловин А. А., Aleksandrov M., Лытаев С. А. et al., Педиатр 2017 Т. 8 № 4 С. 48–56
В результате патоморфоза механизмов генерации биоэлектрической активности при развернутой клинической картине эпилепсии на интериктальной ЭЭГ возможна редукция эпилептиформных изменений. В таких случаях может регистрироваться паттерн с доминирующей альфа-активностью. Целью исследования являлась систематизация вариантов альфа-активности у пациентов с фармакорезистентной эпилепсией. Обследована группа из 50 пациентов с фармакорезистентной эпилепсией в возрасте от 20 до 55 лет, находившихся на лечении в клинике Российского ...
Added: June 26, 2018
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit