Literature DB >> 23247157

The in-the-ear recording concept: user-centered and wearable brain monitoring.

David Looney1, Preben Kidmose, Cheolsoo Park, Michael Ungstrup, Mike Rank, Karin Rosenkranz, Danilo Mandic.   

Abstract

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.

Mesh:

Year:  2012        PMID: 23247157     DOI: 10.1109/MPUL.2012.2216717

Source DB:  PubMed          Journal:  IEEE Pulse        ISSN: 2154-2287            Impact factor:   0.924


  39 in total

Review 1.  Seizure detection: do current devices work? And when can they be useful?

Authors:  Xiuhe Zhao; Samden D Lhatoo
Journal:  Curr Neurol Neurosci Rep       Date:  2018-05-23       Impact factor: 5.081

2.  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

3.  Soft, curved electrode systems capable of integration on the auricle as a persistent brain-computer interface.

Authors:  James J S Norton; Dong Sup Lee; Jung Woo Lee; Woosik Lee; Ohjin Kwon; Phillip Won; Sung-Young Jung; Huanyu Cheng; Jae-Woong Jeong; Abdullah Akce; Stephen Umunna; Ilyoun Na; Yong Ho Kwon; Xiao-Qi Wang; ZhuangJian Liu; Ungyu Paik; Yonggang Huang; Timothy Bretl; Woon-Hong Yeo; John A Rogers
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-16       Impact factor: 11.205

4.  Detection of Paroxysms in Long-Term, Single-Channel EEG-Monitoring of Patients with Typical Absence Seizures.

Authors:  Troels W Kjaer; Helge B D Sorensen; Sabine Groenborg; Charlotte R Pedersen; Jonas Duun-Henriksen
Journal:  IEEE J Transl Eng Health Med       Date:  2017-01-09       Impact factor: 3.316

5.  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 6.  Wearable EEG and beyond.

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

7.  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

8.  Smart Helmet: Wearable Multichannel ECG and EEG.

Authors:  Wilhelm Von Rosenberg; Theerasak Chanwimalueang; Valentin Goverdovsky; David Looney; David Sharp; Danilo P Mandic
Journal:  IEEE J Transl Eng Health Med       Date:  2016-11-01       Impact factor: 3.316

9.  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

10.  Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.

Authors:  Stefan Debener; Reiner Emkes; Maarten De Vos; Martin Bleichner
Journal:  Sci Rep       Date:  2015-11-17       Impact factor: 4.379

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