8 February 2017 Wearable ear EEG for brain interfacing
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Proceedings Volume 10051, Neural Imaging and Sensing; 1005115 (2017) https://doi.org/10.1117/12.2249416
Event: SPIE BiOS, 2017, San Francisco, California, United States
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.
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Eric D. Schroeder, Nicholas Walker, Amanda S. Danko, "Wearable ear EEG for brain interfacing", Proc. SPIE 10051, Neural Imaging and Sensing, 1005115 (8 February 2017); doi: 10.1117/12.2249416; https://doi.org/10.1117/12.2249416
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