Synchronized EEG with two galvanically-separated miniature wireless behind-the-ear EEG sensors
Ding, R.; Geirnaert, S.; Hovine, C.; Bertrand, A.
Show abstract
We present a wireless EEG sensor network consisting of two miniature, wireless, behind-the-ear sensor nodes with a size of 2 cm x 3 cm, each containing a 4-channel EEG amplifier and a wireless radio. Each sensor operates independently, each having its own sampling clock, wireless radio, and local reference electrode, with full electrical isolation from the other. The absence of a wire between the two nodes enhances discreetness and flexibility in deployment, improves miniaturization potential, and reduces wire artifacts. A third identical node acts as a USB dongle, which receives and synchronizes the data from the two behind-the-ear nodes. The latter allows to process the 2 x 4 channel EEG as if all 8 channels are sampled synchronously, allowing the use of signal processing algorithms that exploit inter-channel correlations. To demonstrate this synchronized processing, we recorded auditory steady-state responses (ASSRs) at both ears and processed them with data-driven multi-channel filters to optimize the ASSR signal-to-noise ratio, demonstrating a more reliable ASSR detection compared to a single-ear setup.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Adaptive single-channel EEG artifact removal with applications to clinical monitoring 96%
- Optimal versus approximate channel selection methods for EEG decoding with application to topology-constrained neuro-sensor networks 95%
- Sparse Ensemble Machine Learning to improve robustness of long-term decoding in iBMIs 95%
Similar papers in this journal
- Unveiling Stimulus Transduction Artifacts in Auditory Steady-State Response Experiments: Characterization, Risks, and Mitigation Strategies 95%
- Evaluating three different adaptive decomposition methods for EEG signal seizure detection and classification 94%
- Local and Global Measures of Information Storage for the Assessment of Heartbeat-Evoked Cortical Responses 94%
Similar papers in this journal
- Effect of number and placement of EEG electrodes onmeasurement of neural tracking of speech 94%
- Automatic diagnostics of electroencephalography pathology based on multi-domain feature fusion 94%
- Comparing MEG and EEG measurement set-ups for a brain--computer interface based on selective auditory attention 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.