Literature DB >> 23722447

A study of evoked potentials from ear-EEG.

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

Abstract

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.

Mesh:

Year:  2013        PMID: 23722447     DOI: 10.1109/TBME.2013.2264956

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  26 in total

1.  SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

Authors:  Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y Chen; Maarten De Vos
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-31       Impact factor: 3.802

2.  Automatic Sleep Monitoring Using Ear-EEG.

Authors:  Takashi Nakamura; Valentin Goverdovsky; Mary J Morrell; Danilo P Mandic
Journal:  IEEE J Transl Eng Health Med       Date:  2017-06-26       Impact factor: 3.316

Review 3.  Wearable EEG and beyond.

Authors:  Alexander J Casson
Journal:  Biomed Eng Lett       Date:  2019-01-04

4.  Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?

Authors:  Martin G Bleichner; Micha Lundbeck; Matthias Selisky; Falk Minow; Manuela Jäger; Reiner Emkes; Stefan Debener; Maarten De Vos
Journal:  Physiol Rep       Date:  2015-04

5.  Physiological artifacts in scalp EEG and ear-EEG.

Authors:  Simon L Kappel; David Looney; Danilo P Mandic; Preben Kidmose
Journal:  Biomed Eng Online       Date:  2017-08-11       Impact factor: 2.819

6.  Wearable In-Ear Encephalography Sensor for Monitoring Sleep. Preliminary Observations from Nap Studies.

Authors:  David Looney; Valentin Goverdovsky; Ivana Rosenzweig; Mary J Morrell; Danilo P Mandic
Journal:  Ann Am Thorac Soc       Date:  2016-12

7.  EEG Recorded from the Ear: Characterizing the Ear-EEG Method.

Authors:  Kaare B Mikkelsen; Simon L Kappel; Danilo P Mandic; Preben Kidmose
Journal:  Front Neurosci       Date:  2015-11-18       Impact factor: 4.677

8.  Case comparison of sleep features from ear-EEG and scalp-EEG.

Authors:  I Zibrandtsen; P Kidmose; M Otto; J Ibsen; T W Kjaer
Journal:  Sleep Sci       Date:  2016-06-03

9.  Automatic sleep staging using ear-EEG.

Authors:  Kaare B Mikkelsen; David Bové Villadsen; Marit Otto; Preben Kidmose
Journal:  Biomed Eng Online       Date:  2017-09-19       Impact factor: 2.819

10.  Hearables: Multimodal physiological in-ear sensing.

Authors:  Valentin Goverdovsky; Wilhelm von Rosenberg; Takashi Nakamura; David Looney; David J Sharp; Christos Papavassiliou; Mary J Morrell; Danilo P Mandic
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

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