One Definition to Join Them All: The N-Spherical Solution for the EEG Lead Field.

Albeit its simplicity, the concentric spheres head model is widely used in EEG. The reason behind this is its simple mathematical definition, which allows for the calculation of lead fields with negligible computational cost, for example, for iterative approaches. Nevertheless, the literature shows contradictory formulations for the electrical solution of this head model.

Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals.

Biometric identification uses person recognition techniques based on the extraction of some of their physical or biological properties, which make it possible to characterize and differentiate one person from another and provide irreplaceable and critical information that is suitable for application in security systems. The extraction of information from the electrical biosignal of the human brain has received a great deal of attention in recent years. Analysis of EEG signals has been widely used over the last century in medicine and as a basis for brain-machine interfaces (BMIs).

Effect of time windows in LSTM networks for EEG-based BCIs.

People with impaired motor function could be helped by an effective brain-computer interface (BCI) based on a real-time electroencephalogram (EEG) and artificial intelligence algorithms. However, current methodologies for interpreting patient instructions from an EEG are not accurate enough to be completely safe in a real-world situation , where a poor decision would place their physical integrity at risk, such as when traveling in an electric wheelchair in a city. For various reasons, such as the low signal-to-noise ratio of portable EEGs or the effects of signal contamination (disturbances due to user movement, temporal variation of the features of EEG signals, etc.

Retailoring training programmes in anaesthesia and intensive care after the coronavirus disease 2019 outbreak.

Purpose Of Review: In this review, we want to collect all the adaptations that anaesthesiology training has faced because of the health crisis and social distancing measures resulting from coronavirus 2019 disease (COVID-19). We reviewed new teaching tools launched during the COVID-19 outbreak worldwide and particularly those implemented by the European Society of Anaesthesiology and Intensive Care (ESAIC) and the European Association of Cardiothoracic Anaesthesiology and Intensive Care (EACTAIC).

Recent Findings: Globally, COVID-19 has interrupted health services and all aspects of training programmes.

ASMR amplifies low frequency and reduces high frequency oscillations.

Autonomous sensory meridian response (ASMR) describes an atypical multisensory experience of calming, tingling sensations in response to a specific subset of social audiovisual triggers. To date, the electrophysiological (EEG) correlates of ASMR remain largely unexplored. Here we sought to provide source-level signatures of oscillatory changes induced by this phenomenon and investigate potential decay effects-oscillatory changes in the absence of self-reported ASMR.