This work investigates the amplitude of signals measured by electroencephalographic devices. Indeed, acquisition latencies may affect the detection of time-locked neural phenomena, especially in wireless equipment. Nonetheless, further sources of errors and uncertainties have a potential impact on the measurement of brain potentials and might consequently lead to wrong conclusions. Therefore, a measurement station was used to generate a reference voltage signal and acquire it simultaneously from a voltmeter and EEG devices under test. Then, data was processed with a grand average of aligned 8 s-long epochs, thus simulating a typical processing pipeline for event related potentials detection. Amplitude errors were retrieved under this condition, and uncertainties were evaluated for two representative wireless devices. Relative amplitude errors were found to be about 14 % in one device and up 45 % for another. Meanwhile, relative uncertainties were typically in the 28 % to 61 % range with even a maximum of 167 % in one case. These results are discussed in relation to an experiment with a brain-computer interface, and suggest that such errors and uncertainties can significantly impact the detection of inherent brain potentials.

Impact of amplitude errors and uncertainties in the measurement of brain potentials through wearable EEG devices / Arpaia, P., Esposito, A., Galasso, E., Galdieri, F.. - (2026), pp. 1-6. (14th International Conference on Brain-Computer Interface, BCI 2026 High1 Resort, kor 2026) [10.1109/bci69045.2026.11435074].

Impact of amplitude errors and uncertainties in the measurement of brain potentials through wearable EEG devices

Arpaia, Pasquale
;
Esposito, Antonio;Galasso, Enza;Galdieri, Fortuna
2026

Abstract

This work investigates the amplitude of signals measured by electroencephalographic devices. Indeed, acquisition latencies may affect the detection of time-locked neural phenomena, especially in wireless equipment. Nonetheless, further sources of errors and uncertainties have a potential impact on the measurement of brain potentials and might consequently lead to wrong conclusions. Therefore, a measurement station was used to generate a reference voltage signal and acquire it simultaneously from a voltmeter and EEG devices under test. Then, data was processed with a grand average of aligned 8 s-long epochs, thus simulating a typical processing pipeline for event related potentials detection. Amplitude errors were retrieved under this condition, and uncertainties were evaluated for two representative wireless devices. Relative amplitude errors were found to be about 14 % in one device and up 45 % for another. Meanwhile, relative uncertainties were typically in the 28 % to 61 % range with even a maximum of 167 % in one case. These results are discussed in relation to an experiment with a brain-computer interface, and suggest that such errors and uncertainties can significantly impact the detection of inherent brain potentials.
2026
Impact of amplitude errors and uncertainties in the measurement of brain potentials through wearable EEG devices / Arpaia, P., Esposito, A., Galasso, E., Galdieri, F.. - (2026), pp. 1-6. (14th International Conference on Brain-Computer Interface, BCI 2026 High1 Resort, kor 2026) [10.1109/bci69045.2026.11435074].
File in questo prodotto:
File Dimensione Formato  
14_IEEE_Winter_Conference_on_BCI__14WCBCI____amplitude_characterization.pdf

solo utenti autorizzati

Tipologia: Documento in Post-print
Licenza: Accesso privato/ristretto
Dimensione 1.6 MB
Formato Adobe PDF
1.6 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1069162
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact