In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring

Goverdovsky, Valentin; Looney, David; Kidmose, Preben; Mandic, Danilo P.

doi:10.1109/jsen.2015.2471183

Cited by 157 publications

(146 citation statements)

References 20 publications

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“…However, state of the art dry electrodes EEG systems still do not match electrodes with conductive gel applied in terms of data acquisition quality, and are less comfortable for the subjects (Oliveira et al, 2016). From an aesthetic point of view, recent studies have proposed in ear EEG sensors (Looney et al, 2012; Kidmose et al, 2013; Mikkelsen et al, 2015; Goverdovsky et al, 2016), around-the-ear electrodes grids (Debener et al, 2015; Bleichner et al, 2016; Mirkovic et al, 2016), or a baseball cap fitted with electrodes (Bleichner et al, 2015). Future developments in mobile brain imaging should therefore aim to increase the ease of use, discretion and comfort of the sensors while maximizing data quality in order to be successfully applicable in real-world settings.…”

Section: Current Challengesmentioning

confidence: 99%

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Ladouce

Donaldson

Dudchenko

et al. 2017

Front. Hum. Neurosci.

142

156

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There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action—rather than examining each in isolation.

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Section: Current Challengesmentioning

confidence: 99%

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Ladouce

Donaldson

Dudchenko

et al. 2017

Front. Hum. Neurosci.

142

156

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“…For real-world conditions, Configurations 2 to 4 utilise the materials which were used in a study based on earEEG that included monitoring the stability of electrode impedance for 8 h [31]. Throughout the 8 h duration the impedance was stable and the same can be assumed for the helmet.…”

Section: Resultsmentioning

confidence: 99%

Smart Helmet: Wearable Multichannel ECG and EEG

Rosenberg

Chanwimalueang

Goverdovsky

et al. 2016

IEEE J. Transl. Eng. Health Med.

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Modern wearable technologies have enabled continuous recording of vital signs, however, for activities such as cycling, motor-racing, or military engagement, a helmet with embedded sensors would provide maximum convenience and the opportunity to monitor simultaneously both the vital signs and the electroencephalogram (EEG). To this end, we investigate the feasibility of recording the electrocardiogram (ECG), respiration, and EEG from face-lead locations, by embedding multiple electrodes within a standard helmet. The electrode positions are at the lower jaw, mastoids, and forehead, while for validation purposes a respiration belt around the thorax and a reference ECG from the chest serve as ground truth to assess the performance. The within-helmet EEG is verified by exposing the subjects to periodic visual and auditory stimuli and screening the recordings for the steady-state evoked potentials in response to these stimuli. Cycling and walking are chosen as real-world activities to illustrate how to deal with the so-induced irregular motion artifacts, which contaminate the recordings. We also propose a multivariate R-peak detection algorithm suitable for such noisy environments. Recordings in real-world scenarios support a proof of concept of the feasibility of recording vital signs and EEG from the proposed smart helmet.

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“…Developments in this directions are the recently developed, invisible (Nikulin et al, 2010), and easy to set up, gel-free EEG electrodes (Zander et al, 2011; Guger et al, 2012; Mullen et al, 2015). Electrodes can also be placed so that they are barely visible in the ear (Looney et al, 2014; Goverdovsky et al, 2016), on the ear (Norton et al, 2015), or, as printed electrode arrays, around the ears (Debener et al, 2015). In addition, miniaturized mobile EEG systems (De Vos et al, 2014; Stopczynski et al, 2014) and NIRS systems are presently being developed (Piper et al, 2014; Von Lühmann et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

et al. 2016

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The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our developments in this area and put them into perspective. These examples cover a wide range of maturity levels with respect to their applicability. While we assume we are still a long way away from integrating Brain-Computer Interface (BCI) technology in general interaction with computers, or from implementing neurotechnological measures in safety-critical workplaces, results have already now been obtained involving a BCI as research tool. In this article, we discuss the reasons why, in some of the prospective application domains, considerable effort is still required to make the systems ready to deal with the full complexity of the real world.

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In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring

Cited by 157 publications

References 20 publications

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Smart Helmet: Wearable Multichannel ECG and EEG

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

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