Show simple item record

dc.contributor.authorRashid, Uen_NZ
dc.contributor.authorNiazi, IKen_NZ
dc.contributor.authorSignal, Nen_NZ
dc.contributor.authorTaylor, Den_NZ
dc.date.accessioned2019-06-19T03:50:56Z
dc.date.available2019-06-19T03:50:56Z
dc.date.copyright2018en_NZ
dc.identifier.citationSensors, 18(11), 3721. MDPI AG. Retrieved from http://dx.doi.org/10.3390/s18113721
dc.identifier.issn1424-8220en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/12570
dc.description.abstractTexas 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 (p > 0.05) were found in any of these measures across the two systems. These findings were further supported by evaluation of cosine similarity, waveform differences, and topographic maps. There were statistically significant differences in MRCPs across the motor tasks in both systems. We conclude that the performance of the ADS1299 in combination with wet Ag/AgCl electrodes is analogous to that of a laboratory-based system in a low frequency (<40 Hz) EEG recording.en_NZ
dc.publisherMDPI
dc.relation.urihttps://www.mdpi.com/1424-8220/18/11/3721
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
dc.subjectADS1299; OpenBCI Cyton V3-32; Electroencephalography (EEG); Movement-related cortical potential (MRCP); Brain computer interface (BCI); NuAmps
dc.titleAn EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299en_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.3390/s18113721en_NZ
aut.relation.issue11en_NZ
aut.relation.volume18en_NZ
pubs.elements-id349039
aut.relation.journalSensors (Switzerland)en_NZ


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record