12 citations · 49 across the 7 of their papers we have counts for
7 papers
Implementation of tools for lessening the influence of artifacts in EEG signal analysis
Mario Molina-Molina, Lorenzo J. Tardon, Ana M. Barbancho +1
This manuscript describes and implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and proce…
Building music with Lego bricks and Raspberry Pi
Ana M. Barbancho, Lorenzo J. Tardon, Isabel Barbancho
In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that tec…
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification
Isaac Ariza, Ana M. Barbancho, Lorenzo J. Tardon +1
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning,…
Enhanced average for event-related potential analysis using dynamic time warping
Mario Molina, Lorenzo J. Tardon, Ana M. Barbancho +2
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often us…
Bi-LSTM neural network for EEG-based error detection in musicians' performance
Isaac Ariza, Lorenzo J. Tardon, Ana M. Barbancho +2
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal proces…
Automatic staff reconstruction within SIMSSA proect
Lorenzo J. Tardon, Isabel Barbancho, Ana M. Barbancho +1
The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being c…