Adaptive filtering for non-Gaussian processes. - Preben Kidmose (ICASSP, 2000)

Dynamic components of linear stable mixtures from fractional low order moments. - Thomas Fabricius; Preben Kidmose; Lars Kai Hansen (ICASSP, 2001)

Qualitative assessment of intrinsic mode functions of empirical mode decomposition. - Mo Chen 006; Danilo P. Mandic; Preben Kidmose; Michael Ungstrup (ICASSP, 2008)

Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. - David Looney; Cheolsoo Park; Yili Xia; Preben Kidmose; Michael Ungstrup; Danilo P. Mandic (IJCNN, 2010)

An adaptive algorithm for real-time electrode calibration. - Preben Kidmose (EMBC, 2011)

An in-the-ear platform for recording electroencephalogram. - David Looney; Cheolsoo Park; Preben Kidmose; Mike Lind Rank; Michael Ungstrup; K. Rosenkranz; Danilo P. Mandic (EMBC, 2011)

Auditory evoked responses from Ear-EEG recordings. - Preben Kidmose; David Looney; Danilo P. Mandic (EMBC, 2012)

Multivariate entropy analysis with data-driven scales. - Mosabber Uddin Ahmed; Naveed ur Rehman; David Looney; Tomasz M. Rutkowski; Preben Kidmose; Danilo P. Mandic (ICASSP, 2012)

Ear-EEG from generic earpieces: A feasibility study. - Preben Kidmose; David Looney; L. Jochumsen; Danilo P. Mandic (EMBC, 2013)

Random forest classification for p300 based brain computer interface applications. - Faisal Farooq; Preben Kidmose (EUSIPCO, 2013)

A Study of Evoked Potentials From Ear-EEG. - Preben Kidmose; David Looney; Michael Ungstrup; Mike Lind Rank; Danilo P. Mandic (IEEE Trans. Biomed. Eng., 2013)

Multimodal physiological sensor for motion artefact rejection. - Valentin Goverdovsky; David Looney; Preben Kidmose; Danilo P. Mandic (EMBC, 2014)

A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts. - Simon Lind Kappel; David Looney; Danilo P. Mandic; Preben Kidmose (EMBC, 2014)

Subspace denoising of EEG artefacts via multivariate EMD. - David Looney; Valentin Goverdovsky; Preben Kidmose; Danilo P. Mandic (ICASSP, 2014)

Ear-EEG: Continuous Brain Monitoring. - David Looney; Preben Kidmose; Mary J. Morrell; Danilo P. Mandic (Brain-Computer Interface Research (3), 2014)

Study of impedance spectra for dry and wet EarEEG electrodes. - Simon Lind Kappel; Preben Kidmose (EMBC, 2015)

Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG. - Yu-Te Wang; Masaki Nakanishi; Simon Lind Kappel; Preben Kidmose; Danilo P. Mandic; Yijun Wang 001; Chung-Kuan Cheng; Tzyy-Ping Jung (EMBC, 2015)

EarEEG based visual P300 Brain-Computer Interface. - Faisal Farooq; David Looney; Danilo P. Mandic; Preben Kidmose (NER, 2015)

Reference configurations for ear-EEG steady-state responses. - Simon Lind Kappel; Christian Bech Christensen; Kaare B. Mikkelsen; Preben Kidmose (EMBC, 2016)

Automatic sleep stage classification using ear-EEG. - Andreas Stochholm; Kaare B. Mikkelsen; Preben Kidmose (EMBC, 2016)

A wearable ear-EEG recording system based on dry-contact active electrodes. - Xiong Zhou; Qiang Li 021; Soren Kilsgaard; Farshad Moradi; Simon Lind Kappel; Preben Kidmose (VLSI Circuits, 2016)

High-density ear-EEG. - Simon Lind Kappel; Preben Kidmose (EMBC, 2017)

Auditory Steady-State Responses Across Chirp Repetition Rates For Ear-EEG And Scalp EEG. - Christian Bech Christensen; Simon Lind Kappel; Preben Kidmose (EMBC, 2018)

Real-Life Dry-Contact Ear-EEG. - Simon Lind Kappel; Preben Kidmose (EMBC, 2018)

Ear-EEG-Based Objective Hearing Threshold Estimation Evaluated on Normal Hearing Subjects. - Christian Bech Christensen; James Michael Harte; Thomas Lunner; Preben Kidmose (IEEE Trans. Biomed. Eng., 2018)

Generic Dry-Contact Ear-EEG. - Astrid Rands Bertelsen; Henriette Bladt; Christian Bech Christensen; Simon Lind Kappel; Hans Olaf Toft; Mike Lind Rank; Kaare B. Mikkelsen; Preben Kidmose (EMBC, 2019)

Discrimination of Sleep Spindles in Ear-EEG. - Kaare B. Mikkelsen; Simon Lind Kappel; Martin Christian Hemmsen; Mike Lind Rank; Preben Kidmose (EMBC, 2019)

Dry-Contact Electrode Ear-EEG. - Simon Lind Kappel; Mike Lind Rank; Hans Olaf Toft; Mikael Andersén; Preben Kidmose (IEEE Trans. Biomed. Eng., 2019)

Predicting Sleep Classification Performance without Labels. - Kaare B. Mikkelsen; Yousef Rezaei Tabar; Preben Kidmose (EMBC, 2020)

Muscle Activity Detection during Sleep by Ear-EEG. - Yousef Rezaei Tabar; Kaare B. Mikkelsen; Mike Lind Rank; Martin Christian Hemmsen; Preben Kidmose (EMBC, 2020)

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Preben Kidmose; Maarten De Vos (CoRR, 2020)

EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces. - Mads Jochumsen; Hendrik Knoche; Troels Wesenberg Kjaer; Birthe Dinesen; Preben Kidmose (Sensors, 2020)

Investigation of low dimensional feature spaces for automatic sleep staging. - Yousef Rezaei Tabar; Kaare B. Mikkelsen; Mike Lind Rank; Martin Christian Hemmsen; Preben Kidmose (Comput. Methods Programs Biomed., 2021)

EEGs Vary Less Between Lab and Home Locations Than They Do Between People. - Kaare B. Mikkelsen; Yousef Rezaei Tabar; Christian Bech Christensen; Preben Kidmose (Frontiers Comput. Neurosci., 2021)

Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO2 Electrodes. - Simon Lind Kappel; Preben Kidmose (EMBC, 2022)

Self-applied ear-EEG for sleep monitoring at home. - Kaare B. Mikkelsen; Yousef Rezaei Tabar; Hans Olaf Toft; Martin Christian Hemmsen; Mike Lind Rank; Preben Kidmose (EMBC, 2022)

Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. - Anna Sergeeva; Christian Bech Christensen; Preben Kidmose (EMBC, 2022)

Chirp-Evoked Auditory Steady-State Response: The Effect of Repetition Rate. - Christian Bech Christensen; Thomas Lunner; James Michael Harte; Mike Lind Rank; Preben Kidmose (IEEE Trans. Biomed. Eng., 2022)

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. - Kaare B. Mikkelsen; Huy Phan; Mike Lind Rank; Martin Christian Hemmsen; Maarten De Vos; Preben Kidmose (IEEE Trans. Biomed. Eng., 2022)

Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. - Kenneth Borup; Preben Kidmose; Huy Phan; Kaare B. Mikkelsen (Biomed. Signal Process. Control., 2023)

Detection of Hypoglycemia using ear-EEG. - Alvaro Fuentes Cabrera; Eva M. Gram-Kampmann; Simon Lind Kappel; Line Sofie Remvig; Hans Olaf Toft; Rasmus Elsborg Madsen; Claus Bogh Juhl; Preben Kidmose; Mike Lind Rank (EMBC, 2024)

Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. - Anna Sergeeva; Christian Bech Christensen; Preben Kidmose (EUSIPCO, 2024)

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. - Nhan Duc Thanh Nguyen; Huy Phan; Simon Geirnaert; Kaare B. Mikkelsen; Preben Kidmose (CoRR, 2024)

Single-word Auditory Attention Decoding Using Deep Learning Model. - Nhan Duc Thanh Nguyen; Huy Phan; Kaare B. Mikkelsen; Preben Kidmose (CoRR, 2024)

On the Origin of Cardiovascular Sounds Recorded From the Ear. - Bjarke Gaardbaek; Preben Kidmose (IEEE Trans. Biomed. Eng., 2025)