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A low-cost and open-hardware portable 3-electrode sleep monitoring device.
Pretel, Matías Rodolfo; Vidal, Vanessa; Kienigiel, Dante; Forcato, Cecilia; Ramele, Rodrigo.
Affiliation
  • Pretel MR; Laboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
  • Vidal V; Laboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
  • Kienigiel D; Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina.
  • Forcato C; Laboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
  • Ramele R; Laboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
HardwareX ; 19: e00553, 2024 Sep.
Article in En | MEDLINE | ID: mdl-39099722
ABSTRACT
To continue sleep research activities during the lockdown resulting from the COVID-19 pandemic, experiments that were previously conducted in laboratories were shifted to the homes of volunteers. Furthermore, for extensive data collection, it is necessary to use a large number of portable devices. Hence, to achieve these objectives, we developed a low-cost and open-source portable monitor (PM) device capable of acquiring electroencephalographic (EEG) signals using the popular ESP32 microcontroller. The device operates based on instrumentation amplifiers. It also has a connectivity microcontroller with Wi-Fi and Bluetooth that can be used to stream EEG signals. This portable single-channel 3-electrode EEG device allowed us to record short naps and score different sleep stages, such as wakefulness, non rapid eye movement sleep (NREM), stage 1 (S1), stage 2 (S2), stage 3 (S3) and stage 4 (S4). We validated the device by comparing the obtained signals to those generated by a research-grade counterpart. The results showed a high level of accurate similarity between both devices, demonstrating the feasibility of using this approach for extensive and low-cost data collection of EEG sleep recordings.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: HardwareX Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: HardwareX Year: 2024 Document type: Article