Evidence map›Paper›PMID 30388836›Full record

ArticleSensors (Basel, Switzerland)2018

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.

Usman Rashid, Imran Khan Niazi, Nada Signal, Denise Taylor

Abstract read
In one paragraph

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  18. Low-cost brain computer interface for everyday use.Experimental brain research · 2021
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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

4 authors.

Usman RashidHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand. urashid@aut.ac.nz.ORCID 0000-0002-1109-5493
Imran Khan NiaziHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand. imran.niazi@aut.ac.nz.ORCID 0000-0001-8752-7224
Nada SignalHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand. nada.signal@aut.ac.nz.ORCID 0000-0001-9595-0532
Denise TaylorHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand. denise.taylor@aut.ac.nz.ORCID 0000-0002-0955-5702

Funding

Callaghan Innovation NoneMedical Technologies Centre of Research Excellence (MedTech CoRE) None
6 · The paper itself

Abstract

Texas Instruments ADS1299 is an attractive choice for low cost electroencephalography (EEG) devices owing to its low power consumption and low input referred noise. To date, there have been no rigorous evaluations of its performance. In this EEG experimental study we evaluated the performance of the ADS1299 against a high quality laboratory-based system. Two self-paced lower limb motor tasks were performed by 22 healthy participants. Recorded power across delta, theta, alpha, and beta EEG bands, the power ratio across the motor tasks, pre-movement noise, and signal-to-noise ratio were obtained for evaluation. The amplitude and time of the negative peak in the movement-related cortical potentials (MRCPs) extracted from the EEG data were also obtained. Using linear mixed models, no statistically significant differences (

Indexed as

ADS1299brain computer interface (BCI)electroencephalography (EEG)movement-related cortical potential (MRCP)NuAmpsOpenBCI Cyton V3-32

Identifiers

PMID30388836
PMCPMC6263632

What OpenQuestion holds

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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.