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 proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationProceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665492522
StatePublished - 2022
Event2022 Algorithms, Computing and Mathematics Conference, ACM 2022 - Hybrid, Chennai, India
Duration: 29 Aug 202230 Aug 2022

Publication series

NameProceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022


Conference2022 Algorithms, Computing and Mathematics Conference, ACM 2022
CityHybrid, Chennai


  • EEG
  • procesamiento
  • programming
  • sensor
  • señal


Dive into the research topics of 'Low-Cost System for Recording Electroencephalography Signals'. Together they form a unique fingerprint.

Cite this