Chronically monitoring the deep brain rhythms: latest clinical progress

Optimization of epilepsy detection method based on dynamic EEG channel screening

To decrease the interference in the process of epileptic feature extraction caused by insufficient detection capability in partial channels of focal epilepsy, this paper proposes a novel epilepsy detection method based on dynamic electroencephalogram (EEG) channel screening. This method not only extracts more effective epilepsy features but also finds common features among different epilepsy subjects, providing an effective approach and theoretical support for across-subject epilepsy detection in clinical scenarios. Firstly, we use the Refine Composite Multiscale Dispersion Entropy (RCMDE) to measure the complexity of EEG signals between normal and seizure states and realize the dynamic EEG channel screening among different subjects, which can enhance the capability of feature extraction and the robustness of epilepsy detection. Subsequently, we discover common epilepsy features in 3-15 Hz among different subjects by the screened EEG channels. By this finding, we construct the Residual Convolutional Long Short-Term Memory (ResCon-LSTM) neural network to accomplish across-subject epilepsy detection. The experiment results on the CHB-MIT dataset indicate that the highest accuracy of epilepsy detection in the single-subject experiment is 98.523 %, improved by 5.298 % compared with non-channel screening. In the across-subject experiment, the average accuracy is 96.596 %. Therefore, this method could be effectively applied to different subjects by dynamically screening optimal channels and keep a good detection performance.

The fourth industrial revolution and the coronavirus: a new era catalyzed by a virus☆

The global pandemic caused by the new coronavirus, COVID 19, has disrupted the lives of most people on the planet. The magnitude of such disruption can only be compared to those caused by World War II. Experts suggest that in order to better evaluate this situation, it should be divided into two waves. The first wave being associated with health issues and the second one with economic issues. This article suggests that this global pandemic is fostering yet a third wave, which in the long run can be much more impactful in our lives than the first two. This third wave consists on accelerating the implantation process of the fourth industrial revolution. This article is divided into sections with the physical, digital and biological spheres of the fourth industrial revolution, as well as the dimensions of sustainability and other important considerations, in order to better demonstrate the emergence of a new era catalyzed by a virus.