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Preliminary validation of in-ear EEG against PSG system for sleep staging Sleep Medicine
Wälti et. al Vol 100, Supp 1, Dec. 2022.
This article discusses the validation of our Guardian, an in-ear EEG system, against the gold-standard polysomnography (PSG) for sleep monitoring. The study involved 10 datasets from 8 healthy participants, comparing sleep stages using the AASM criteria. Results showed a good correlation between in-ear EEG and PSG in identifying sleep stages, with an average Pearson correlation coefficient of 0.78. This concludes, that the Guardian is effective in detecting sleep markers and is suitable for long-term, comfortable use, particularly for monitoring narcolepsy patients non-invasively.
Advancing towards Ubiquitous EEG, Correlation of In-Ear EEG with Forehead EEG.
Mandekar et al., Sensors 22(4): 1568 (2022).
This study explores the viability of in-ear electroencephalography (EEG) as a less intrusive alternative to traditional forehead EEG. Utilizing custom electrodes integrated into earpieces, the study, conducted with ten participants, reveals that in-ear EEG closely matches forehead EEG in terms of signal quality and impedance. Notably, it exhibits a high correlation (0.92) in alpha wave detection between the two methods, underlining the potential of in-ear EEG for continuous monitoring and in mobile brain-computer interface applications, without compromising on data quality or user comfort.
Earable Design Analysis for Sleep EEG Measurements
Mandekar et al., UbiComp/ISWC ’21.
In the study focusing on the optimization of Ear-EEG systems for mobile and at-home monitoring, a quantitative analysis was conducted to evaluate the impact of electrode size and location on signal quality. The research reveals that electrode impedance is inversely related to size, varying from 450 kΩ to 1.29 MΩ for dry contacts and 22 kΩ to 42 kΩ for wet contacts at 10 Hz. The study identifies the ELE (Left Ear Superior) location in the ear canal as having the lowest impedance, likely due to increased contact pressure from the outer-ear anatomy. These findings are crucial for enhancing signal pickup and signal-to-noise ratio (SNR) in Ear-EEG applications. The practical application of these insights is demonstrated through the high-quality recording of sleep spindles during sleep onset, achieving a notable signal strength of 5.27 μVrms.
Check out our Publications from Conferences as well!
Paired in-ear and scalp EEG shows psilocybin-induced alpha desynchronization and allows for prediction of treatment state
S. Ahmed et al., ALPS Conference 2003.
Cognitive Workload Whitepaper
Explore the future of cognitive workload assessment with the IDUN Guardian: Harnessing the power of in-ear EEG technology, this groundbreaking Whitepaper reveals how we can measure and respond to mental effort in real-time. Discover how this innovation can enhance productivity, learning, and safety in everyday life. Dive into the world where technology meets cognitive science!
Lastly: Our comprehensive White Paper
Panoramic view
Presents a panoramic view of the current landscape of the field.
Transform the future
Explores potential advancements set to transform the future. Stay tuned and navigate the intriguing world of In-ear EEG with us!
Panoramic view
Presents a panoramic view of the current landscape of the field.
Transform the future
Explores potential advancements set to transform the future. Stay tuned and navigate the intriguing world of In-ear EEG with us!
Compare the power spectra of a night recording between a frontal scalp EEG and the IDUN Guardian in-ear sensor. The spectrogram reveals striking similarities in EEG signals, further emphasized when examining EEG power distribution. This comparison demonstrates not only the accuracy of the IDUN Guardian in detecting neuronal activity but also its effectiveness across various sleep stages and cycles.
