Acquisition Delay of Wireless EEG Instruments in Time-Sensitive Applications

The aim of this study is to characterize the acquisition delay in wireless EEG instruments and evaluate its impact on the detection of time-locked neural phenomena, such as P300 and movement-related cortical potentials (MRCP). Accurate timing is critical for both research and clinical applications, especially for real-time brain-computer interfaces (BCI). A measurement setup was thus developed to assess acquisition delays and their uncertainty. Delays were measured at both the start and stop of a reference signal generation to investigate the consistency and reliability of the devices. BCI experiments were also performed to evaluate the impact of the measured delay on the detection of the time-locked phenomena. Statistical tests confirmed significant differences in delays across devices and configurations (e.g., from few tens to a hundred ms). These delays directly impacted P300 and MRCP detection, raising concerns about potential misclassification. Nonetheless, the correction of the measured acquisition delay proved beneficial, especially with regard to the P300 latency measured through low-cost instrumentation.

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Publication Details

Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tnsre.2025.3575695
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
4.29
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article

Acquisition Delay of Wireless EEG Instruments in Time-Sensitive Applications

Angela Natalizio, Antonio Espósito, Pasquale Arpaïa, Fortuna Galdieri
3 citations
IEEE Transactions on Neural Systems and Rehabilitation Engineering
EEG and Brain-Computer Interfaces
4.29
article

Acquisition Delay of Wireless EEG Instruments in Time-Sensitive Applications

Angela Natalizio, Antonio Espósito, Pasquale Arpaïa, Fortuna Galdieri
article en
3 citations

Abstract

The aim of this study is to characterize the acquisition delay in wireless EEG instruments and evaluate its impact on the detection of time-locked neural phenomena, such as P300 and movement-related cortical potentials (MRCP). Accurate timing is critical for both research and clinical applications, especially for real-time brain-computer interfaces (BCI). A measurement setup was thus developed to assess acquisition delays and their uncertainty. Delays were measured at both the start and stop of a reference signal generation to investigate the consistency and reliability of the devices. BCI experiments were also performed to evaluate the impact of the measured delay on the detection of the time-locked phenomena. Statistical tests confirmed significant differences in delays across devices and configurations (e.g., from few tens to a hundred ms). These delays directly impacted P300 and MRCP detection, raising concerns about potential misclassification. Nonetheless, the correction of the measured acquisition delay proved beneficial, especially with regard to the P300 latency measured through low-cost instrumentation.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
Politecnico di Torino (IT), University of Naples Federico II (IT)
Affordable and clean energy
Openalex Percentile: Top 6%
EEG and Brain-Computer Interfaces
4.29
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