Wearable Electroencephalography

  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},
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.

3D Printed Dry EEG Electrodes

3D printed electrodes are compared against standard wet electrodes, and the performance of the proposed electrodes is suitable for BCI applications, despite the presence of additional noise.

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.



New Chronic EEG Electrode for Critical/Intensive Care Unit Monitoring

  • J. Ives
  • Geology
    Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
  • 2005
It takes less than half the time to place the SWE, and placement can now be performed by any medically trained personnel to obtain a low-maintenance, high-quality EEG recording.

Ambulatory EEG monitoring.

  • F. GilliamR. KuznieckyE. Faught
  • Medicine, Computer Science
    Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
  • 1999
An evidence-based analysis explores the benefits and limitations of ambulatory EEG, and offers aspects of its use which require additional clinical research.

Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordings.

New horizons in ambulatory electroencephalography

  • E. Waterhouse
  • Medicine
    IEEE Engineering in Medicine and Biology Magazine
  • 2003
With miniaturization of AEEG and seizure anticipation technology, and advancements in the ability to identify the transition from pre-ictal to ictal state, there is realistic hope that patients with refractory epilepsy may gain control over their seizures and enjoy significantly improved quality of life.

Dense array EEG: Methodology and new hypothesis on epilepsy syndromes

Dense array EEG is used in conjunction with a realistic model of head tissue conductivity and methods of electrographic source analysis to determine cerebral cortical localization of epileptiform discharges and hypothesize that all epileptic seizures may be fundamentally corticothalamic or corticolimbic in nature.

Toward Online Data Reduction for Portable Electroencephalography Systems in Epilepsy

A real-time data reduction algorithm based upon the discontinuous recording of the EEG that is formulated to have a direct, low power, hardware implementation and similar data reduction strategies could be employed in a range of body-area-network-type applications.

A 200 $\mu$ W Eight-Channel EEG Acquisition ASIC for Ambulatory EEG Systems

The presented ASIC includes eight readout front-end channels and an 11-bit analog-to-digital converter (ADC) and the key to its high performance and low-power dissipation is the new AC coupled chopper stabilized instrumentation amplifier implementation.

A dry electrode for EEG recording.

Noninvasive Neural Prostheses Using Mobile and Wireless EEG

A noninvasive mobile prosthetic platform for continuously monitoring high-temporal resolution brain dynamics without requiring application of conductive gels on the scalp is proposed and its implications for neural prostheses are examined.

Wearable Autonomous Wireless Electro-encephalography System Fully Powered by Human Body Heat

A wearable, wireless 2-channel electro-encephalography (EEG) system has been realized which functions fully autonomously, without any batteries. It is fully powered by human body heat using a