Peripheral nerve blocking (PNB) is a standard procedure to support regional anesthesia.
Still, correct localization of the nerve's structure is needed to avoid adverse effects; thereby …

This paper uses EEG data to introduce an approach for classifying right and left-hand
classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity …

Motor learning is associated with functional brain plasticity, involving specific functional
connectivity changes in the neural networks. However, the degree of learning new motor …

The early detection of Alzheimer's disease and quantification of its progression poses
multiple difficulties for machine learning algorithms. Two of the most relevant issues are …

Motor Imagery (MI) refers to imagining the mental representation of motor movements
without overt motor activity, enhancing physical action execution and neural plasticity with …

Dimensionality reduction (DR) aims to reveal salient properties of high-dimensional (HD)
data in a low-dimensional (LD) representation space. Two elements stipulate success of a …

Regional neuraxial analgesia for pain relief during labor is a universally accepted, safe, and
effective procedure involving administering medication into the epidural. Still, an adequate …

Motion capture (Mocap) data are widely used as time series to study human movement.
Indeed, animation movies, video games, and biomechanical systems for rehabilitation are …

This paper presents a kernel-based relevance analysis for video data to support social
behavior recognition. Our approach, termed KRAV, is twofold:(i) A feature ranking based on …

Background Electrogram-guided ablation procedures have been proposed as an alternative
strategy consisting of either map** and ablating focal sources or targeting complex …