Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals

Alexey Syskov; Vasilii Borisov; Vsevolod Tetervak; Vladimir Kublanov

doi:10.5220/0006593001640172

Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals

Alexey Syskov, Vasilii Borisov, Vsevolod Tetervak, Vladimir Kublanov

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

Язык оригинала	Английский
Название основной публикации	BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Издатель	SciTePress
Страницы	164-172
Число страниц	9
Том	1
ISBN (электронное издание)	9789897582776
DOI	https://doi.org/10.5220/0006593001640172
Состояние	Опубликовано - 1 янв 2018
Событие	11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Португалия Продолжительность: 18 янв 2018 → 20 янв 2018

Конференция

Конференция	11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Страна	Португалия
Город	Funchal, Madeira
Период	18/01/2018 → 20/01/2018

Предметные области ASJC Scopus

Biomedical Engineering
Electrical and Electronic Engineering

Ссылки

10.5220/0006593001640172

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals». Вместе они формируют уникальный семантический отпечаток (fingerprint).

1 Активно

Ключевой центр превосходства «Развитие теории нейропластичности и разработка аппаратов для адекватной полифакторной нейроэлектростимуляции с ориентацией на персонализированную медицину» (Проект развития САЕ ИРИТ-РТФ)
Кубланов, В. С., Тетервак, В. В., Gamboa, H., Ефимцев, А. Ю., Резакова, М. В., Даниленко, К. В., Афтанас, Л. И., Ghaziri, J., Mazaltarim, M., Копытова, Т. Г., Данилов, Ю. П., Черных, О. А., Ронкин, М. В., Калмыков, А. А., Калмыков, А. А., Сысков, А. М., Ямалиев, Д. Р., Колчанова, Е. И., Ташкинова, А. П., Додатков, К. В., Пуртов, К. С., Петренко, Т. С., Петренко, А. А., Кубланов, Е. В., Долганов, А. Ю., Борисов, В. И., Бабич, М. В., Червинский, С. М., Форд, В. Ф., Чупов, А. А., Брыляков, В. С., Золотухин, Е. Е., Коновалова, Д. О., Костоусов, В. Б., Осадчикова, Л. С., Помосова, А. А. & Борохович, А. Г.
18/10/2016 → …
Проект: Исследование › Проект развития

Цитировать

Syskov, A., Borisov, V., Tetervak, V., & Kublanov, V. (2018). Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals. В BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (Том 1, стр. 164-172). SciTePress. https://doi.org/10.5220/0006593001640172

Syskov, Alexey ; Borisov, Vasilii ; Tetervak, Vsevolod ; Kublanov, Vladimir. / Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals. BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. Том 1 SciTePress, 2018. стр. 164-172

@inproceedings{6ff7fdaf68134ea8b0b1f625c2d176d0,

title = "Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals",

keywords = "Accelerometer, Brain-Computer Interface, Electroencephalography, Machine Learning, Mental Evaluation, Principal Component Analysis, Test of Variables of Attention",

author = "Alexey Syskov and Vasilii Borisov and Vsevolod Tetervak and Vladimir Kublanov",

year = "2018",

month = jan,

day = "1",

doi = "10.5220/0006593001640172",

language = "English",

volume = "1",

pages = "164--172",

booktitle = "BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018",

publisher = "SciTePress",

address = "Portugal",

note = "11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 ; Conference date: 18-01-2018 Through 20-01-2018",

}

Syskov, A , Borisov, V, Tetervak, V & Kublanov, V 2018, Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals. в BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. том. 1, SciTePress, стр. 164-172, 11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, Funchal, Madeira, Португалия, 18/01/2018. https://doi.org/10.5220/0006593001640172

Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals. / Syskov, Alexey ; Borisov, Vasilii; Tetervak, Vsevolod; Kublanov, Vladimir.

BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. Том 1 SciTePress, 2018. стр. 164-172.

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

TY - GEN

T1 - Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals

AU - Syskov, Alexey

AU - Borisov, Vasilii

AU - Tetervak, Vsevolod

AU - Kublanov, Vladimir

PY - 2018/1/1

Y1 - 2018/1/1

KW - Accelerometer

KW - Brain-Computer Interface

KW - Electroencephalography

KW - Machine Learning

KW - Mental Evaluation

KW - Principal Component Analysis

KW - Test of Variables of Attention

UR - http://www.scopus.com/inward/record.url?scp=85051724034&partnerID=8YFLogxK

U2 - 10.5220/0006593001640172

DO - 10.5220/0006593001640172

M3 - Conference contribution

AN - SCOPUS:85051724034

VL - 1

SP - 164

EP - 172

BT - BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

PB - SciTePress

T2 - 11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

Y2 - 18 January 2018 through 20 January 2018

ER -

Syskov A , Borisov V, Tetervak V, Kublanov V. Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals. В BIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. Том 1. SciTePress. 2018. стр. 164-172 https://doi.org/10.5220/0006593001640172