most citedEnhanced average for event-related potential analysis using dynamic time warping

12 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2024★ 3 cited

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…

cs.HC2024★ 3 cited

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…

eess.SP2024★ 10 cited

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,…

eess.SP2024★ 12 cited

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…

eess.SP2024★ 9 cited

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…

eess.IV2024★ 1 cited

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…

eess.SP2024★ 11 cited

Preprocessing for lessening the influence of eye artifacts in eeg analysis

Alejandro Villena, Lorenzo J. Tardon, Isabel Barbancho +3

We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in…