Wearable Electroencephalography

@article{Casson2010WearableE,
  title={Wearable Electroencephalography},
  author={Alexander J. Casson and David C. Yates and Shelagh M. Smith and John S. Duncan and Esther Rodr{\'i}guez-Villegas},
  journal={IEEE Engineering in Medicine and Biology Magazine},
  year={2010},
  volume={29},
  pages={44-56}
}
The electroencephalogram (EEG) is a classic noninvasive method for measuring a person's brainwaves and is used in a large number of fields: from epilepsy and sleep disorder diagnosis to brain-computer interfaces (BCIs). Electrodes are placed on the scalp to detect the microvolt-sized signals that result from synchronized neuronal activity within the brain. Current long-term EEG monitoring is generally either carried out as an inpatient in combination with video recording and long cables to an… 

Wearable EEG and beyond

  • A. Casson
  • Computer Science
    Biomedical engineering letters
  • 2019
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.

Chapter 2 Electroencephalogram

The electroencephalogram is a widely used non-invasive method for monitoring the brain that has a very high time resolution and is in principle portable allowing real-world neuroimaging to be performed outside of clinical and lab environments.

Ambulatory EEG.

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Low-power amplifier for in-vivo EEG signal recording

The presented amplifier has been designed and simulated in 90nm 1P9M CMOS technology, consumes 3.6 µW from a 1.2 V supply voltage and occupies an active area of 0.048 mm2.

NeuroMonitor ambulatory EEG device: Comparative analysis and its application for cognitive load assessment

This study validates the NeuroMonitor ambulatory EEG device data and shows a use-case for real-life cognitive load studies.

Smart Helmet: Wearable Multichannel ECG and EEG

This work investigates the feasibility of recording the electrocardiogram (ECG), respiration, and EEG from face-lead locations, by embedding multiple electrodes within a standard helmet, and proposes a multivariate R-peak detection algorithm suitable for such noisy environments.

A 950 nW Analog-Based Data Reduction Chip for Wearable EEG Systems in Epilepsy

An analog-based data reduction integrated circuit that would reduce the amount of power required to transmit EEG data by identifying the sections of data that are interesting for diagnostic purposes while discarding the background activity is presented.

Development and Characterization of Ear-EEG for Real-Life Brain-Monitoring

The Ph.D. project showed that ear-EEG measurements can be performed in real-life, with dry-contact electrodes, and the brain processes studied, were established with comparable clarity on recordings from temporal lobe scalp and ear electrodes.

The In-the-Ear Recording Concept: User-Centered and Wearable Brain Monitoring

The potential to record EEG in the ear canal, leading to a discreet, unobtrusive, and user-centered approach to brain monitoring, and promises a number of advantages, including fixed electrode positions, user comfort, robustness to electromagnetic interference, feedback to the user, and ease of use.
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