Low-Cost System for Recording Electroencephalography Signals

Wilver Auccahuasi; Sandra Meza; Kety Sifuentes; Daysi Mancco; Lucas Herrera; Christian Ovalle; Hernando Martin Campos Martinez; Karin Rojas; Miryam Inciso-Rojas; Aly Auccahuasi

doi:10.1109/ACM57404.2022.00023

Low-Cost System for Recording Electroencephalography Signals

Wilver Auccahuasi, Sandra Meza, Kety Sifuentes, Daysi Mancco, Lucas Herrera, Christian Ovalle, Hernando Martin Campos Martinez, Karin Rojas, Miryam Inciso-Rojas, Aly Auccahuasi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Information and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.

Original language	English
Title of host publication	Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
Pages	95-99
Number of pages	5
ISBN (Electronic)	9781665492522
DOIs	https://doi.org/10.1109/ACM57404.2022.00023
State	Published - 2022
Externally published	Yes
Event	2022 Algorithms, Computing and Mathematics Conference, ACM 2022 - Chennai, India Duration: 29 Aug 2022 → 30 Aug 2022

Publication series

Name	Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022

Conference

Conference	2022 Algorithms, Computing and Mathematics Conference, ACM 2022
Country/Territory	India
City	Chennai
Period	29/08/22 → 30/08/22

Keywords

EEG
procesamiento
programming
sensor
señal

Access to Document

10.1109/ACM57404.2022.00023

Cite this

Auccahuasi, W., Meza, S., Sifuentes, K., Mancco, D., Herrera, L., Ovalle, C., Martinez, H. M. C., Rojas, K., Inciso-Rojas, M., & Auccahuasi, A. (2022). Low-Cost System for Recording Electroencephalography Signals. In Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022 (pp. 95-99). (Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022). https://doi.org/10.1109/ACM57404.2022.00023

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title = "Low-Cost System for Recording Electroencephalography Signals",

abstract = "Information and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.",

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author = "Wilver Auccahuasi and Sandra Meza and Kety Sifuentes and Daysi Mancco and Lucas Herrera and Christian Ovalle and Martinez, {Hernando Martin Campos} and Karin Rojas and Miryam Inciso-Rojas and Aly Auccahuasi",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Algorithms, Computing and Mathematics Conference, ACM 2022 ; Conference date: 29-08-2022 Through 30-08-2022",

year = "2022",

doi = "10.1109/ACM57404.2022.00023",

language = "English",

series = "Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022",

pages = "95--99",

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Auccahuasi, W, Meza, S, Sifuentes, K, Mancco, D, Herrera, L, Ovalle, C, Martinez, HMC, Rojas, K, Inciso-Rojas, M & Auccahuasi, A 2022, Low-Cost System for Recording Electroencephalography Signals. in Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022. Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022, pp. 95-99, 2022 Algorithms, Computing and Mathematics Conference, ACM 2022, Chennai, India, 29/08/22. https://doi.org/10.1109/ACM57404.2022.00023

Low-Cost System for Recording Electroencephalography Signals. / Auccahuasi, Wilver; Meza, Sandra; Sifuentes, Kety et al.
Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022. 2022. p. 95-99 (Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Meza, Sandra

AU - Sifuentes, Kety

AU - Mancco, Daysi

AU - Herrera, Lucas

AU - Ovalle, Christian

AU - Martinez, Hernando Martin Campos

AU - Rojas, Karin

AU - Inciso-Rojas, Miryam

AU - Auccahuasi, Aly

PY - 2022

Y1 - 2022

N2 - Information and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.

AB - Information and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.

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KW - programming

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BT - Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022

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ER -

Low-Cost System for Recording Electroencephalography Signals

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Keywords

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