Low-Cost System for Recording Electroencephalography Signals
- ,
- ,
- Kety Sifuentes,
- Daysi Mancco,
- Lucas Herrera,
- Christian Ovalle
- ,
- Universidad ESAN,
- Universidad Científica del Sur,
- Universidad Continental, Huancayo,
- Universidad Autónoma de Ica,
- Universidad Tecnológica del Perú
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 95-99 (5 pages)Publication milestones
- Published - 2022
Publication status
Publisher
Institute of Electrical and Electronics Engineers Inc.Publication series
- Publication series name: Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
ISBN (Electronic)
9781665492522Publication IDs
- Scopus: 85169033948
Host publication title
Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022Abstract
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.