Wearable ear EEG for brain interfacing

Abstract

Brain-computer interfaces (BCIs) measuring electrical activity via electroencephalogram (EEG) have evolved beyond clinical applications to become wireless consumer products. Typically marketed for meditation and neu- rotherapy, these devices are limited in scope and currently too obtrusive to be a ubiquitous wearable. Stemming from recent advancements made in hearing aid technology, wearables have been shrinking to the point that the necessary sensors, circuitry, and batteries can be fit into a small in-ear wearable device. In this work, an ear-EEG device is created with a novel system for artifact removal and signal interpretation. The small, compact, cost-effective, and discreet device is demonstrated against existing consumer electronics in this space for its signal quality, comfort, and usability. A custom mobile application is developed to process raw EEG from each device and display interpreted data to the user. Artifact removal and signal classification is accomplished via a combination of support matrix machines (SMMs) and soft thresholding of relevant statistical properties.

BibTeX Entry

@inproceedings{schroeder2017,
  address = {San Francisco},
  author = {Schroeder, Eric D. and Walker, Nicholas and Danko, Amanda S.},
  booktitle = {Proceedings of SPIE 10051, Neural Imaging and Sensing},
  doi = {10.1117/12.2249416},
  editor = {Luo, Qingming and Ding, Jun},
  isbn = {9781510605435},
  issn = {16057422},
  month = feb,
  title = {{Wearable ear EEG for brain interfacing}},
  year = {2017},
  wwwtype = {conference}
}