W. Auccahuasi, Sandra Meza, Kety Sifuentes, Daysi Mancco, Lucas Herrera, C. Ovalle, Hernando Martín Campos Martinez, K. Rojas, Miryam Inciso-Rojas, Aly Auccahuasi
{"title":"Low-Cost System for Recording Electroencephalography Signals","authors":"W. Auccahuasi, Sandra Meza, Kety Sifuentes, Daysi Mancco, Lucas Herrera, C. Ovalle, Hernando Martín Campos Martinez, K. Rojas, Miryam Inciso-Rojas, Aly Auccahuasi","doi":"10.1109/ACM57404.2022.00023","DOIUrl":null,"url":null,"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.","PeriodicalId":322569,"journal":{"name":"2022 Algorithms, Computing and Mathematics Conference (ACM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Algorithms, Computing and Mathematics Conference (ACM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACM57404.2022.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.