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Dive into the research topics where Mike Lind Rank is active.

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Featured researches published by Mike Lind Rank.


IEEE Pulse | 2012

The In-the-Ear Recording Concept: User-Centered and Wearable Brain Monitoring

David Looney; Preben Kidmose; Cheolsoo Park; Michael Ungstrup; Mike Lind Rank; Karin Rosenkranz; Danilo P. Mandic

The integration of brain monitoring based on electroencephalography (EEG) into everyday life has been hindered by the limited portability and long setup time of current wearable systems as well as by the invasiveness of implanted systems (e.g. intracranial EEG). We explore the potential to record EEG in the ear canal, leading to a discreet, unobtrusive, and user-centered approach to brain monitoring. The in-the-ear EEG (Ear-EEG) recording concept is tested using several standard EEG paradigms, benchmarked against standard onscalp EEG, and its feasibility proven. Such a system promises a number of advantages, including fixed electrode positions, user comfort, robustness to electromagnetic interference, feedback to the user, and ease of use. The Ear-EEG platform could also support additional biosensors, extending its reach beyond EEG to provide a powerful health-monitoring system for those applications that require long recording periods in a natural environment.


IEEE Transactions on Biomedical Engineering | 2013

A Study of Evoked Potentials From Ear-EEG

Preben Kidmose; David Looney; Michael Ungstrup; Mike Lind Rank; Danilo P. Mandic

A method for brain monitoring based on measuring the electroencephalogram (EEG) from electrodes placed in-the-ear (ear-EEG) was recently proposed. The objective of this study is to further characterize the ear-EEG and perform a rigorous comparison against conventional on-scalp EEG. This is achieved for both auditory and visual evoked responses, over steady-state and transient paradigms, and across a population of subjects. The respective steady-state responses are evaluated in terms of signal-to-noise ratio and statistical significance, while the qualitative analysis of the transient responses is performed by considering grand averaged event-related potential (ERP) waveforms. The outcomes of this study demonstrate conclusively that the ear-EEG signals, in terms of the signal-to-noise ratio, are on par with conventional EEG recorded from electrodes placed over the temporal region.


international conference of the ieee engineering in medicine and biology society | 2010

A Yarbus-style experiment to determine auditory attention

Preben Kidmose; Mike Lind Rank; Michael Ungstrup; David Looney; Cheolsoo Park; Danilo P. Mandic

This paper presents an analysis of the merits of the original Yarbus experiment on eye movements with respect to judgments on differences in cognitive layer processes. The principles thus derived are applied to the development of an equivalent auditory experiment where, instead of eye movements, the response of the subject is observed by EEG measurements. Results from a preliminary trial are also included in which EEG analysis is used to ascertain the attended sound source in a multiple sound source environment. The investigation is part of ongoing research to improve the usefulness of hearing instruments and is also relevant in relation to other scientific investigations concerning the processing of sounds in complex acoustical environments by the human brain.


IEEE Transactions on Biomedical Engineering | 2018

Dry-Contact Electrode Ear-EEG

Simon Lind Kappel; Mike Lind Rank; Hans Olaf Toft; Mikael Andersen; Preben Kidmose

Objective: Ear-EEG is a recording method in which EEG signals are acquired from electrodes placed on an earpiece inserted into the ear. Thereby, ear-EEG provides a noninvasive and discreet way of recording EEG, and has the potential to be used for long-term brain monitoring in real-life environments. Whereas previously reported ear-EEG recordings have been performed with wet electrodes, the objective of this study was to develop and evaluate dry-contact electrode ear-EEG. Methods: To achieve a well-functioning dry-contact interface, a new ear-EEG platform was developed. The platform comprised actively shielded and nanostructured electrodes embedded in an individualized soft-earpiece. The platform was evaluated in a study of 12 subjects and four EEG paradigms: auditory steady-state response, steady-state visual evoked potential, mismatch negativity, and alpha-band modulation. Results: Recordings from the prototyped dry-contact ear-EEG platform were compared to conventional scalp EEG recordings. When all electrodes were referenced to a common scalp electrode (Cz), the performance was on par with scalp EEG measured close to the ear. With both the measuring electrode and the reference electrode located within the ear, statistically significant (p < 0.05) responses were measured for all paradigms, although for mismatch negativity, it was necessary to use a reference located in the opposite ear, to obtain a statistically significant response. Conclusion: The study demonstrated that dry-contact electrode ear-EEG is a feasible technology for EEG recording. Significance: The prototyped dry-contact ear-EEG platform represents an important technological advancement of the method in terms of user-friendliness, because it eliminates the need for gel in the electrode-skin interface.


Archive | 2009

Hearing aid system for establishing a conversation group

Mike Lind Rank; Jakob Nielsen; Michael Ungstrup; Kristian Thygesen Gjesse


Archive | 2009

System for establishing a conversation group among a number of hearing aids

Mike Lind Rank; Jakob Nielsen; Michael Ungstrup; Kristian Thygesen Gjesse


Archive | 2010

A hearing aid adapted fordetecting brain waves and a method for adapting such a hearing aid

Preben Kidmose; Danillo P. Mandic; Michael Ungstrup; David Looney; Cheolsoo Park; Mike Lind Rank


Archive | 2010

HEARING AID AND A METHOD FOR ALLEVIATING TINNITUS

Jakob Nielsen; Georg Stiefenhofer; Mike Lind Rank; Stine Kohrtz Andersen


Archive | 2012

HEARING AID WITH AUDIO CODEC AND METHOD

Mike Lind Rank; Preben Kidmose; Michael Ungstrup; Morten Holm Jensen


Archive | 2012

Hearing aid and a method for audio streaming

Michael Ungstrup; Mike Lind Rank

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David Looney

Imperial College London

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Karin Rosenkranz

UCL Institute of Neurology

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