Evaluating portable EEG: a comparison between two wireless systems (EPOC Flex and LiveAmp) and the wired BrainAmp
Justine Epinat-Duclos1, Antoine Rossignon1, Jérôme Prado1,2
1Université Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, PLANETE, Bron, France.
Portable electroencephalography (EEG) systems effectively capture cognitive processes, even with reduced data. Wireless EEG devices are suitable for real-world cognitive neuroscience research when using sufficient trials and controlling for latency.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging Techniques
- Biomedical Engineering
Background:
- Miniaturized, portable electroencephalography (EEG) systems offer new possibilities for real-world data collection.
- Evaluating the performance of portable consumer and research-grade EEG systems against fixed research-grade systems is crucial for informed experimental design.
- Understanding the impact of portability on data validity and participant experience is key for advancing EEG research.
Purpose of the Study:
- To compare the performance of portable EEG systems (EPOC Saline Flex, EM; LiveAmp, LA) with a fixed research-grade system (BrainAmp, BA).
- To assess the impact of portability on data quality and analytical outcomes in cognitive neuroscience tasks.
- To determine the necessary trial numbers for achieving satisfactory signal quality with reduced datasets.
Main Methods:
- Continuous EEG was recorded from healthy adults using EM, LA, and BA systems during five benchmark cognitive tasks.
- Analyses included time/frequency methods for mental states (alpha power) and unconscious perception (SSVEP), and time/amplitude analyses for event-related potentials (ERPs) like N170, N200, P300, and MMN.
- System efficiency was compared at native and equalized sampling rates, with 100%, 75%, and 50% of datasets analyzed.
Main Results:
- All systems detected resting state alpha power decreases and SSVEP responses; EM showed smaller spectral effects compared to LA and BA.
- Active (N170, N200, P300) and passive (MMN) ERPs were observed across all systems, with EM and LA showing reduced N170 amplitudes compared to BA.
- Dataset reduction impacted N170 amplitude and latency differently across systems, with EM showing shorter latencies for most ERPs.
Conclusions:
- Portable EEG systems, including wireless devices like EM, can effectively support time/frequency and time/amplitude analyses in cognitive science.
- Task duration influences EEG system efficiency more than sampling rates, providing guidance for real-world experiment design.
- Sufficient trial numbers and controlled latencies are essential for utilizing portable EEG systems, especially for vulnerable populations.
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