Preliminary results from a new study show that a portable electroencephalogram device that collects ear data measures sleep as reliably as traditional EEG electrodes connected to the scalp.
Comparing the similarity distributions of intraindividual neural signatures for ear EEG and scalp EEG over four nights, the results show that the mean difference observed between distributions was statistically significant, in favor of an EEG signature. of the most stable ear. An additional analysis found that an individual’s neuronal signature recorded by the ear-EEG for four nights followed by continuous monitoring for 12 nights was stable over time, demonstrating its ability as personalized. signature with a classification accuracy of 90.1%.
“The most striking results of the study were the stability of the ear-EEG neuronal feature over time and the systematic variation between individuals,” said lead researcher Martin Hemmsen, PhD in Biomedical Engineering and is a principal investigator of sleep and cognition at T&W Engineering in Denmark.
The researchers began a two-phase internal study, which monitored 20 participants for four nights in the first phase. Each participant’s sleep was assessed using an ear-centered dry electrode EEG recorder and a partial polysomnography comprising EEG, electrooculography, and electromyography monitoring. In the second phase, 10 participants wore only the ear-EEG device for an additional 12 nights. The researchers analyzed the intra- and interindividual similarity of the non-REM phase 2 sleep power spectra recorded by ear-EEG and scalp-EEG.
According to the authors, changes in personalized neural signatures have been associated with biomarkers of Alzheimer’s disease, meaning that ear-EEG may be useful in the early detection of neuronal degeneration.
“The results are important because the study shows that simple, usable EEG devices for home use and without help can reliably control individual characteristics,” Hemmsen said. “Future studies will explore whether tracking these individual characteristics over time can be used as a biomarker for the early detection of neurological complications.”
The study was conducted by researchers from both T&W Engineering and the Center for Ear-EEG led by Professor Preben Kidmose of Aarhus University. The center was established in January 2020 with initial funding from the William Demant Foundation and T&W Engineering. The research was conducted as part of the Ear-EEG Sleep Monitor (EESM) research consortium (T&W Engineering, Preben Kidmose of Aarhus University; Troels Kjær, MD, University Hospital of Zealand; Husband Otto, Ph.D., MD, of Aarhus University).
The research summary was recently published in an online supplement to the journal Sleep.
Martin Hemmsen et al, 272 Long-term monitoring of features similar to sleep electroencephalogram features by ear EEG, Sleep (2021). DOI: 10.1093 / sleep / zsab072.271
American Academy of Sleep Medicine
Citation: The portable electroencephalogram device collects reliable data on ear sleep (2021, June 10) retrieved on June 10, 2021 at https://medicalxpress.com/news/2021-06-wearable-electroencephalogram- device-reliable-ear.html
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