Hardware Implementation of an Adaptive Data Acquisition System for Real-World EEG

Poirier, Catherine J.; Gadfort, Peter; Dixon, Anna M. R.; Nonte, Michael W.; Conroy, Joseph; Hairston, W. David

doi:10.1109/embc.2018.8513037

Cited by 2 publications

(1 citation statement)

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“…A recent review of architectures is given in [15]. Examples of novel approaches include [74] which proposed dynamically adjusting the EEG front-end gain so that the incoming signal to be sampled always occupies the full input range of the analogue to digital converter. This is an example of including more signal processing into the EEG front-end in order to improve its performance beyond that which can be achieved by a bio-potential amplifier alone.…”

Section: Low Power Electronics and Signal Processingmentioning

confidence: 99%

Wearable EEG and beyond

2019

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The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the brain. It is based upon placing conductive electrodes on the scalp which measure the small electrical potentials that arise outside of the head due to neuronal action within the brain. Historically this has been a large and bulky technology, restricted to the monitoring of subjects in a lab or clinic while they are stationary. Over the last decade much research effort has been put into the creation of "wearable EEG" which overcomes these limitations and allows the long term non-invasive recording of brain signals while people are out of the lab and moving about. This paper reviews the recent progress in this field, with particular emphasis on the electrodes used to make connections to the head and the physical EEG hardware. The emergence of conformal "tattoo" type EEG electrodes is highlighted as a key next step for giving very small and socially discrete units. In addition, new recommendations for the performance validation of novel electrode technologies are given, with standards in this area seen as the current main bottleneck to the wider take up of wearable EEG. The paper concludes by considering the next steps in the creation of next generation wearable EEG units, showing that a wide range of research avenues are present.

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Section: Low Power Electronics and Signal Processingmentioning

confidence: 99%