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 › Научно-исследовательская › рецензирование

1 цитирование (Scopus)
Язык оригиналаАнглийский
Название основной публикацииBIODEVICES 2018 - 11th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
ИздательSciTePress
Страницы164-172
Число страниц9
Том1
ISBN (электронное издание)9789897582776
СостояниеОпубликовано - 1 янв 2018
Событие11th 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

Конференция11th International Conference on Biomedical Electronics and Devices, BIODEVICES 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
СтранаПортугалия
ГородFunchal, Madeira
Период18/01/2018 → 20/01/2018

Отпечаток

Electroencephalography
Feature extraction
Accelerometers
Supervised learning
Decision trees
Principal component analysis

Ключевые слова

    Предметные области ASJC Scopus

    • Biomedical Engineering
    • Electrical and Electronic Engineering

    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.
    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 = "1",
    day = "1",
    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",

    }

    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.

    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 › Научно-исследовательская › рецензирование

    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

    M3 - Conference contribution

    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

    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

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    Связанный контент

    Проекты

    Ключевой центр превосходства «Развитие теории нейропластичности и разработка аппаратов для адекватной полифакторной нейроэлектростимуляции с ориентацией на персонализированную медицину» (Проект развития САЕ ИРИТ-РТФ)

    Проект: Исследование › Проект развития