Hardware Acceleration of EEG-Based Emotion Classification Systems: A Comprehensive Survey.

Recent years have witnessed a growing interest in EEG-based wearable classifiers of emotions, which could enable the real-time monitoring of patients suffering from neurological disorders such as Amyotrophic Lateral Sclerosis (ALS), Autism Spectrum Disorder (ASD), or Alzheimer's. The hope is that such wearable emotion classifiers would facilitate the patients' social integration and lead to improved healthcare outcomes for them and their loved ones. Yet in spite of their direct relevance to neuro-medicine, the hardware platforms for emotion classification have yet to fill up some important gaps in their various approaches to emotion classification in a healthcare context.

Limiting the stroke of a Schmitt trigger with multiplicative noise.

We have devised an experiment whereby a bistable system is confined away from its deterministic attractors by means of multiplicative noise. Together with previous numerical results, our experimental results validate the hypothesis that the higher the slope of the noise's multiplicative factor, the more it shifts the stationary states.

The top 100 cited articles published in emergency medicine journals.

Introduction: Our objective was to identify trends and examine the characteristics of the top 100 cited articles in emergency medicine (EM) journals.

Methods: Scopus Library database was queried to determine the citations of the top 100 EM articles. A second database (Google Scholar) was used to gather the following information: number of authors, publication year, journal name, impact factor, country of origin, and article type (original article, review article, conference paper, or editorial).

Quick method for mean frontal QRS axis determination.

Background: ECGs are the recording of the electrical activity of the heart. The direction of it's current in the frontal plane can be determined by analyzing the QRS direction and magnitude in limb leads. Several methods for determination of the QRS frontal axis have been proposed, however most of them require memorization of the exact location of the leads in the frontal plane with pen and paper calculations.

Classification of wines produced in specific regions by UV-visible spectroscopy combined with support vector machines.

Discriminating wines according to their denomination of origin using cost-effective techniques is something that attracts the attention of different industrial sectors. In search of simplicity, direct UV-visible spectrophotometric techniques and different multivariate statistical techniques are used with admissible results to characterize wine produced in specific regions. However, most of the reported classification methods do not exploit all of the statistical relations in the investigated dataset and are inherently affected by the presence of outliers.