Ear-EEG is a method for measuring dynamics of brain activity through the minute voltage changes observable on the skin, typically by placing electrodes on the scalp. In ear-EEG, the electrodes are exclusively placed in or around the outer ear, resulting in both a much greater invisibility and wearer mobility compared to full scalp EEG, but also significantly reduced signal amplitude, as well as reduction in the number of brain regions in which activity can be measured. It may broadly be partitioned into two groups: those using electrode positions exclusively within the concha and ear canal, and those also placing electrodes close to the ear, usually hidden behind the ear lobe. Generally speaking, the first type will be the most invisible, but also offer the most challenging (noisy) signal. Ear-EEG is a good candidate for inclusion in a hearable device, however, due to the high complexity of ear-EEG sensors, this has not yet been done.
Video Ear-EEG
History
Ear-EEG was first described in "A1 US patent US20070112277 A1", though other noteworthy mentions are "B1 EP patent EP2448477 B1" and "Auditory evoked responses from Ear-EEG recordings". Since then, it has grown to be an endeavor spread across multiple research groups and collaborations, as well as private companies . Notable incarnations of the technology are the cEEGrid (see picture to the right) and the custom 3D-printed ear plugs from NeuroTechnology Lab (see picture above). Attempts at creating in-ear generic earpieces are also known to be under way.
Maps Ear-EEG
Uses in research
It is possible to think of multiple research areas in which an unobtrusive and invisible EEG system would be beneficial. Good examples are in studies of group dynamics or didactics, in which cases it would be very valuable to be able to monitor the effect of various events on individuals, while still letting them experience said events unfettered. n this context, it is very important to perform detailed comparisons between ear-EEG and regular scalp EEG, as results need to be comparable across platforms. This has been done in multiple papers. In these it has been found that ear-EEG measurements are comparable to scalp EEG in the frequency domain, when comparing to electrodes in the temporal region, but that waveforms are generally different.
Sleep monitoring
A promising use case is in long term sleep monitoring, where there is presently a need for a more user friendly (and cheaper) alternative to the gold standard polysomnography. Innovation Fund Denmark recently funded a large project on using ear-EEG for sleep monitoring, in a collaboration between industry and Aarhus University in Denmark , however, development of an ear-EEG based sleep monitor is a global endeavor, with other prominent examples taking place at the University of Colorado , Imperial College London as well as the University of Oxford.
Possible commercial uses
Despite the lack of ear-EEG products on the market, several companies have revealed investments in ear-EEG technology. Foremost of these are the hearing aid producers Oticon and Widex, who are looking into hearing-aid applications, the feasibility of which there appears to be some support for, and a hypoglycemia alarm.
Other potential use cases which are known to have been explored are driver drowsiness detection, BCI and biometric identification.
References
Source of the article : Wikipedia
0 Comments