Guillermo de Arcas

According to our database, Guillermo de Arcas authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Evaluation of the Performance of Wearables' Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson's Disease.

Carlos Polvorinos Fernández, Luis Sigcha, Laura Pereira de Pablo, Luigi Borzì, Paulo Cardoso, Nélson Costa, Susana Costa, Juan-Manuel López-Navarro, Guillermo de Arcas, Ignacio Pavón

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

First Longitudinal Study Using Binaural Beats on Parkinson Disease.

David González, Ricardo Bruña, Juan Carlos Martínez-Castrillo, Juan-Manuel López-Navarro, Guillermo de Arcas

Int. J. Neural Syst., 2023

2022

Improved Estimation of End-Milling Parameters from Acoustic Emission Signals Using a Microphone Array Assisted by AI Modelling.

Andrés Sio-Sever, Juan-Manuel López-Navarro, César Asensio-Rivera, Antonio Vizan-Idoipe, Guillermo de Arcas

Sensors, 2022

Urban Road Surface Discrimination by Tire-Road Noise Analysis and Data Clustering.

Carlos Ramos-Romero, César Asensio, Ricardo Moreno, Guillermo de Arcas

Sensors, 2022

Improvement of Performance in Freezing of Gait detection in Parkinson's Disease using Transformer networks and a single waist-worn triaxial accelerometer.

Luis Sigcha, Luigi Borzì, Ignacio Pavón, Nélson Costa, Susana Costa, Pedro M. Arezes, Juan-Manuel López-Navarro, Guillermo de Arcas

Eng. Appl. Artif. Intell., 2022

Monitoring Motor Symptoms in Parkinson's Disease Under Long Term Acoustic Stimulation.

Luis Sigcha, David Gonzalez Calleja, Ignacio Pavón, Juan-Manuel López-Navarro, Guillermo de Arcas

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021

Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks.

Luis Sigcha, Ignacio Pavón, Nélson Costa, Susana Costa, Miguel Gago, Pedro M. Arezes, Juan-Manuel López-Navarro, Guillermo de Arcas

Sensors, 2021

Analysis and initial design of bidirectional acoustic tag modulation schemes and communication protocol.

Daniel Corregidor, Ivan Masmitja, Juan-Manuel López-Navarro, Spartacus Gomaríz, Joan Navarro, Guillermo de Arcas

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020

Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission.

Andrés Sio-Sever, Erardo Leal-Muñoz, Juan-Manuel López-Navarro, Ricardo Alzugaray-Franz, Antonio Vizan-Idoipe, Guillermo Arcas de Castro

Sensors, 2020

Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors.

Luis Sigcha, Nélson Costa, Ignacio Pavón, Susana Costa, Pedro M. Arezes, Juan-Manuel López-Navarro, Guillermo de Arcas

Sensors, 2020

A Digital Signal Processor Based Acoustic Sensor for Outdoor Noise Monitoring in Smart Cities.

Juan-Manuel López-Navarro, Jesús Alonso, César Asensio, Ignacio Pavón, Luis Gascó, Guillermo de Arcas

Sensors, 2020

2019

Neuroacoustical Stimulation of Parkinson's Disease Patients: A Case Study.

Gerardo Gálvez-García, Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Guillermo Arcas de Castro, Pedro Gómez Vilda

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018

Occupational Risk Prevention through Smartwatches: Precision and Uncertainty Effects of the Built-In Accelerometer.

Luis Sigcha, Ignacio Pavón, Pedro M. Arezes, Nélson Costa, Guillermo de Arcas, Juan-Manuel López-Navarro

Sensors, 2018

Estimating Facial Neuromotor Activity from sEMG and Accelerometry for Speech Articulation.

Andrés Gómez-Rodellar, Guillermo Arcas de Castro, Pedro Gómez Vilda, Agustín Álvarez Marquina, Juan-Manuel López-Navarro

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018