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Updated: Sep 14, 2025

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
Published on: July 7, 2023
Comparative analysis of signal quality and usability for a novel wireless, wearable EEG sensor
Vamshi K Muvvala1, Avidor B Kazen1, Tyler J Newton1
1Epitel, Inc., Salt Lake City, UT, United States.
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.

