Leontios J. Hadjileontiadis

TL;DR: A novel emotion evocation and EEG-based feature extraction technique is presented, in which the mirror neuron system concept was adapted to efficiently foster emotion induction by the process of imitation, justifying the efficiency of the proposed approach.

TL;DR: A public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016, which comprises nine different heart sound databases sourced from multiple research groups around the world is described.

TL;DR: A new approach based on higher-order statistics (HOS) is introduced that overcomes the subjectivity of human intervention and eliminates the noise factor, making the proposed PAI-S/K scheme an attractive candidate for huge seismic data assessment in a real-time context.

TL;DR: This paper focuses on the discrimination between subjects' electroencephalogram (EEG) responses to self-assessed liked or disliked music by evaluating different feature extraction approaches and classifiers to this end and provides early evidence and pave the way for the development of a generalized brain computer interface for music preference recognition.

TL;DR: An automatic technique for wheeze detection and monitoring using spectral analysis and the experimental and testing results justified the efficient performance and high noise robustness of the TF-WD.