ArticleSensors (Basel, Switzerland)2018
Development of a Modular Board for EEG Signal Acquisition.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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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.
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Who cites it
13 citing papers in PubMed.
- Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025Article
- Prototype of a Multimodal and Multichannel Electro-Physiological and General-Purpose Signal Capture System: Evaluation in Sleep-Research-like Scenario.Sensors (Basel, Switzerland) · 2025Article
- Assessment of a 16-Channel Ambulatory Dry Electrode EEG for Remote Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Low-cost brain computer interface for everyday use.Experimental brain research · 2021Article
- Development of an Integrated EEG/fNIRS Brain Function Monitoring System.Sensors (Basel, Switzerland) · 2021Article
- Biopotential Signal Monitoring Systems in Rehabilitation: A Review.Sensors (Basel, Switzerland) · 2021Review
- Metal-Oxide Based Nanomaterials: Synthesis, Characterization and Their Applications in Electrical and Electrochemical Sensors.Sensors (Basel, Switzerland) · 2021Review
- A feasibility study of a complete low-cost consumer-grade brain-computer interface system.Heliyon · 2020Article
- Embodiment Is Related to Better Performance on a Brain-Computer Interface in Immersive Virtual Reality: A Pilot Study.Sensors (Basel, Switzerland) · 2020Article
- Sparse Logistic Regression WithFrontiers in neuroinformatics · 2020Article
- Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU.Sensors (Basel, Switzerland) · 2019Article
- A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition.Sensors (Basel, Switzerland) · 2019Article
- An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increased popularity of brain-computer interfaces (BCIs) has created a new demand for miniaturized and low-cost electroencephalogram (EEG) acquisition devices for entertainment, rehabilitation, and scientific needs. The lack of scientific analysis for such system design, modularity, and unified validation tends to suppress progress in this field and limit supply for new low-cost device availability. To eliminate this problem, this paper presents the design and evaluation of a compact, modular, battery powered, conventional EEG signal acquisition board based on an ADS1298 analog front-end chip. The introduction of this novel, vertically stackable board allows the EEG scaling problem to be solved by effectively reconfiguring hardware for small or more demanding applications. The ability to capture 16 to 64 EEG channels at sample rates from 250 Hz to 1000 Hz and to transfer raw EEG signal over a Bluetooth or Wi-Fi interface was implemented. Furthermore, simple but effective assessment techniques were used for system evaluation. While conducted tests confirm the validity of the system against official datasheet specifications and for real-world applications, the proposed quality verification methods can be further employed for analyzing other similar EEG devices in the future. With 6.59 microvolts peak-to-peak input referred noise and a −97 dB common mode rejection ratio in 0⁻70 Hz band, the proposed design can be qualified as a low-cost precision cEEG research device.
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Registered trials
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.