ArticleClinical neurophysiology practice2025
Comparative analysis of signal quality and usability for a novel wireless, wearable EEG sensor.
Article in Clinical neurophysiology practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Assessing a reduced-channel algorithm for end-to-end seizure detection on multiday EEG using inter-rater agreement with epileptologists.Scientific reports · 2026Article
- Out of the lab, into real life: Evaluating at-home EEG self-monitoring.Epilepsia open · 2026Article
- Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces.Brain informatics · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Objective: This study details the design, efficacy, and usability of a novel wearable, wireless electroencephalography (EEG) sensor designed for extended-duration clinical monitoring in any environment. Methods: Simultaneous EEG recordings from REMI sensors and a conventional scalp-EEG recording system were conducted across two cohorts: 1) participants undergoing routine epilepsy seizure monitoring and 2) healthy volunteers performing tasks to induce common EEG artifacts. Comparative time and spectral-based analyses were conducted between the recording modalities. Sensor usability was also evaluated. Results: The temporal dynamics and signal morphology of artifacts and electrographic seizures were visually similar between the REMI sensor and conventional scalp-EEG. Additionally, spectral correlation between the two systems was high across all event types, ranging from 0.86 to 0.94. Patient-reported acceptance was also strong, with 69% of participants rating the sensors as comfortable to wear. Conclusions: The REMI sensor showed strong agreement with conventional scalp-EEG in the signal characteristics of physiological artifacts and electrographic seizures. The positive comfort feedback further supports the REMI sensors' everyday utility. Significance: Although limited in electrode coverage compared to conventional scalp-EEG recording systems, the REMI sensor records comparable high-fidelity EEG data in both time and spectral domains. REMI sensor's recording quality and wearability facilitate extended-duration monitoring in everyday environments.
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Registered trials
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