Electrode selection and other design considerations for a modular, portable single-channel EEG-augmented hearing aid

Noah B. Brummer, Joseph A. Rawson, Matthew W. Grimm, Patrick Tupper, Ashley J.L. Miller, Curtis J. Billings, Peter G. Jacobs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we present a design for a portable single-channel EEG-controlled hearing aid. The design has relevance for future versions of hearing aids that may make use of electroencephalography (EEG) to control the settings and signal processing on the hearing aid. The design also has relevance for auditory-based brain-computer interface (BCI) systems. Current hearing aid technology uses only acoustic information to perform noise removal algorithms and to do directional beamforming using array microphones. Recent advances in EEG and applications in auditory-based BCI have opened the door for the potential use of EEG information to automatically control the function of a hearing aid. In this paper we describe the design of a modular mobile hearing aid platform that accepts EEG inputs. We have investigated which electrodes are the most relevant for performing an EEG-based classifier of oddball sounds using tones and nonsense syllables so that eventually a minimal set of electrodes may be used in a portable auditory-based EEG BCI system. And we have described the modular design of a portable hearing aid system which enables interchange of different USB-enabled EEG electrodes, codecs, and battery supplies. The system includes a dual-microphone array for enabling adaptive beamforming noise cancelation and a Linux-based processor for performing advanced noise cancelation and compression algorithms.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages431-434
Number of pages4
DOIs
StatePublished - 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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