Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

News

November 2023

PhD-defence by Anna Sergeeva

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 

 

April 2023

New project to measure Alzheimer's and Parkinson's via the ear

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.

 

1. Feb. 2023

New Paper Out: At-home sleep monitoring using generic ear-EEG

Paper about At-home sleep monitoring using Ear-EEG published in Frontiers of Neuroscience.

Open Phd position, January 2023

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

27. Oct. 2022

New Paper Out: Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography

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.

11-15. July 2022

EMBC 2022: Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO2 Electrodes

Conference Paper about dry-contact EEG electrodes. The paper was presented as an oral presentation at EMBC 2022 in Glasgow by Simon Kappel.

30. June 2022

Press coverage: Smart earbud will measure how astronauts sleep

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..

12. Aug. 2021

New Paper Out: Chirp-evoked auditory steady-state response: The effect of repetition rate

Paper about the effect of stimuli repetition rate on the auditory steady-state response published in IEEE Transactions on Biomedical Engineering.

9. June 2021

Press coverage: Wearable electroencephalogram device gathers reliable sleep data from the ear

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.

21. Nov. 2020

New Paper Out: Ear-EEG for sleep assessment: a comparison with actigraphy and PSG

Paper about Ear-EEG sleep assessment published in Sleep and Breathing.

10. Jan. 2020

To celebrate the establishment of Center for Ear-EEG we cordially invite all interested to participate in the inauguration.

20. Dec. 2019

Press release: Center for Ear-EEG

14. Nov. 2019

New Paper Out: Accurate whole-night sleep monitoring with dry-contact ear-EEG

Paper about Ear-EEG sleep monitoring published in Scientific Reports.

23-27. July 2019

New Paper Out: Generic Dry-Contact Ear-EEG

Conference Paper about generic and dry-contact ear-EEG earpieces. The paper was presented as an oral presentation at EMBC 2019 in Berlin.

September 2023

First ear-EEG data from space

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.

Center for Ear-EEG

T&W Engineering

William Demant Foundation​​​​​​​

(Photo: ESA/NASA)

Open Research assistant/postdoc position, January 2023

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.

11-15. July 2022

EMBC 2022: Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG

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.

30. June 2022

Press coverage: Meeting in research network resulted in collaboration with engineers for PhD student

 

28. Sep. 2021

New Paper Out: Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations

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.

9. June 2021

Poster at the Sleep 2021 Conference: 272 Long-term monitoring of trait-like characteristics of the sleep electroencephalogram using ear-EEG

April 2021

New Paper Out: Investigation of low dimensional feature spaces for automatic sleep staging

Paper about investigation of features for automatic sleep staging published in Computer Methods and Programs in Biomedicine.

16. Feb. 2021

New Paper Out: EEGs Vary Less Between Lab and Home Locations Than They Do Between People

Paper about EEG recording in lab vs home published in Frontiers of Computational Neuroscience.

Coghear discussion of Ear-EEG

 

February 25, 2021, Preben Kidmose led the discussion at Coghear about what can be decoded from brain signals measured within and around the ear.

Open PhD position, February 2021

 

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.

July 2020

Video presentation given at EMBC 2020.

July 2020

Video presentation given at EMBC 2020.

28. Feb 2020

On Friday the 28. of February we celebrated the inauguration of the Center for Ear-EEG.

20. Dec. 2019

 

PhD fellowship

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.

10. Sep. 2019

New Paper Out: Ear-EEG Forward Models: Improved Head-Models for Ear-EEG

Paper about Ear-EEG forward models published in Frontiers of Neuroscience.

23-27. July 2019

New Paper Out: Discrimination of Sleep Spindles in Ear-EEG

Conference Paper about detection of sleep spindles in ear-EEG. The paper was presented as an oral presentation at EMBC 2019 in Berlin.
Revideret 12.11.2023
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AU Engineering