Comparison analysis between standard polysomnographic data and in-ear-electroencephalography signals: a preliminary study

2024

Comparing Sleep Monitoring Methods: Polysomnography vs. In-Ear EEG

Sample size: 10 publication Evidence: moderate

Author Information

Author(s): Gianpaolo Palo, Luigi Fiorillo, Giuliana Monachino, Michal Bechny, Michel Wälti, Elias Meier, Francesca Pentimalli Biscaretti di Ruffia, Mark Melnykowycz, Athina Tzovara, Valentina Agostini, Francesca Dalia Faraci

Primary Institution: Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland

Hypothesis

This study aims to establish a methodology to assess the similarity between the single-channel in-ear-EEG and standard PSG derivations.

Conclusion

In-ear-EEG is a valuable solution for home-based sleep monitoring; however, further studies with a larger and more heterogeneous dataset are needed.

Supporting Evidence

Large variability was found between PSG and in-ear-EEG hypnograms scored by the same sleep expert.
Significantly greater agreements were found for PSG scorers than for in-ear-EEG scorers.
On average, high similarity scores were found between PSG and in-ear-EEG signals across different sleep stages.

Takeaway

This study looks at how well in-ear EEG can measure sleep compared to traditional methods. It finds that in-ear EEG can be a good option for monitoring sleep at home.