Friday 17 November 2023 at 13:00, Anna Sergeeva, will defend her PhD thesis entitled ”Neuro-based hearing assessment in real life”,
Everyone is welcome to join in person at Finlandsgade 22, Building 5125, room 423 or join online teams link: Click here to join the defence on teams
Serious brain diseases such as Alzheimer's and Parkinson's are usually diagnosed too late for optimal benefit from available drug and non-drug treatments. A new research project will develop and test a scalable home health care technology that could have a major impact on early detection, diagnosis, prevention and treatment of both diseases.
Paper about At-home sleep monitoring using Ear-EEG published in Frontiers of Neuroscience.
Applications are invited for a PhD fellowship within Real-life ear-EEG.
The aim of the project is to advanced signal processing and machine learning methods for: assessment of EEG signal quality, artifact detection and reduction, and decoding brain processes from real-life ear-EEG recordings
We demonstrate that repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography (PSG). We find that key sleep metrics can be estimated with high accuracy and precision, and in some cases are more reliably estimated with repeated nights of automatically scored ear-EEG than with a single night of manually scored PSG. Published in PLOS Digital Health.
Conference Paper about dry-contact EEG electrodes. The paper was presented as an oral presentation at EMBC 2022 in Glasgow by Simon Kappel.
Ear-EEG along with astronaut Andreas Mogensen, will travel to the International Space Station ISS to examine the differences between human sleep patterns on earth and in space..
Paper about the effect of stimuli repetition rate on the auditory steady-state response published in IEEE Transactions on Biomedical Engineering.
Press release about the study 272 Long-term monitoring of trait-like characteristics of the sleep electroencephalogram using ear-EEG by The Sleep 2021 Conference.
Paper about Ear-EEG sleep assessment published in Sleep and Breathing.
To celebrate the establishment of Center for Ear-EEG we cordially invite all interested to participate in the inauguration.
Paper about Ear-EEG sleep monitoring published in Scientific Reports.
As a part of the Sleep-in-Orbit project, we have just received the first ear-EEG recordings from the international space station (ISS). These are the first ear-EEG recordings ever made in space.
The objective of the Sleep-in-Orbit project is to investigate physiological differences between astronaut’s sleep in space and on Earth. The astronaut's sleep is measured before the mission to space, during the stay on the ISS, and again when the astronaut is back on Earth.
The first astronaut in the study is ESA astronaut Andreas Mogensen, who arrived at the ISS on 27th August 2023. After a short acclimatization period, he has now started recording, and we have received the first two nights of recordings. We are very excited that the first data has shown to be of good quality, and we are looking forward to diving into the sleep analysis.
Andreas Mogensen will stay at the ISS for six months. During this period, he will record up to 20 nights of ear-EEG data.
Read more about the Sleep-in-Orbit project [here]
The Sleep-in-Orbit experiment is a part of Andreas Mogensen’s second mission to the ISS. Read more about the mission [here]
The Sleep-in-Orbit project is funded through the Center for Ear-EEG by T&W Engineering, William Demant Foundation, and Department of Electrical and Computer Engineering, Aarhus University. Moreover, the integration of the project into the ISS program has been supported by the European Space Agency (ESA). We deeply appreciate this support, without which the project would not have been possible.
William Demant Foundation
Are you interested in real-life brain monitoring? We are seeking a research assistant or postdoctoral researcher to advance our ear-EEG recording platforms, to integrate the ear-EEG platforms with other wearable sensing modalities, and to develop and implement real-life experimental paradigms.
Applicants are invited for a 2-year position at the Center for Ear-EEG, Department of Electrical and Computer Engineering, Aarhus University. The position is available from 1 April 2023 or as soon as possible thereafter.
Conference Paper about detection of ASSR in ear-EEG. The paper was presented as an oral presentation at EMBC 2022 in Glasgow by Anna Sergeeva.
Using state-of-the-art deep learning for analysing ear-EEG, our newest paper shows both further increases in mobile sleep scoring performance, and that mobile sleep scoring is possible for a large number of different electrode positions. Published in IEEE Transactions on Biomedical Engineering.
Paper about investigation of features for automatic sleep staging published in Computer Methods and Programs in Biomedicine.
Paper about EEG recording in lab vs home published in Frontiers of Computational Neuroscience.
February 25, 2021, Preben Kidmose led the discussion at Coghear about what can be decoded from brain signals measured within and around the ear.
Applications are invited for a PhD fellowship within Deep learning methods for automatic sleep scoring.
The aim of the project is to develop and test approaches to ‘transfer learning’ or ‘semi supervised learning’, in which high performing algorithms trained on large data sets will be transformed to perform similarly well on smaller data sets for rarer types of sleep recordings.
On Friday the 28. of February we celebrated the inauguration of the Center for Ear-EEG.
Applications are invited for a PhD fellowship within Deep learning for joint processing of audio and EEG signals.
The aim of the project is to develop algorithms for enhancing hearing aid performance through integration with ear-EEG. The project will investigate deep neural networks for joint processing of brain and audio signals.
Paper about Ear-EEG forward models published in Frontiers of Neuroscience.