Evidence map›Paper›PMID 39099722›Full record

ArticleHardwareX2024

A low-cost and open-hardware portable 3-electrode sleep monitoring device.

Matías Rodolfo Pretel, Vanessa Vidal, Dante Kienigiel, Cecilia Forcato, Rodrigo Ramele

Abstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matías Rodolfo PretelLaboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
Vanessa VidalLaboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
Dante KienigielLaboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
Cecilia ForcatoLaboratorio de Sueño y Memoria, Life Sciences Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.
Rodrigo RameleComputer Engineering Department, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ArduinoEEGLow costOpen hardwarePortable deviceSleep

Identifiers

PMID39099722
PMCPMC11295469

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.