Comunicaciones, sistemas multitasa e ingeniería biomédica - Communications, Multirate Signal Processing and Biomedical Engineering.
COMB
Universidad Rey Juan Carlos
Madrid, EspañaPublicacions en col·laboració amb investigadors/es de Universidad Rey Juan Carlos (21)
2024
-
Machine learning based detection of T–wave alternans in real ambulatory conditions
Computer Methods and Programs in Biomedicine, Vol. 249
2023
-
Analysis of the Window Size Effect for T-Wave Alternans Detection Through Machine Learning Methods
Computing in Cardiology
-
Machine Learning approach for TWA detection relying on ensemble data design
Heliyon, Vol. 9, Núm. 1
2021
-
Assessment of classification models and relevant features on nonalcoholic steatohepatitis using random forest
Entropy, Vol. 23, Núm. 6
-
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods
Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
2020
-
Spatial-temporal signals and clinical indices in electrocardiographic imaging (I): Preprocessing and bipolar potentials
Sensors (Switzerland), Vol. 20, Núm. 11
-
Spatial-temporal signals and clinical indices in electrocardiographic imaging (Ii): Electrogram clustering and t-wave alternans
Sensors (Switzerland), Vol. 20, Núm. 11, pp. 1-24
2018
-
A flexible 12-lead/holter device with compression capabilities for low-bandwidth mobile-ECG telemedicine applications
Sensors (Switzerland), Vol. 18, Núm. 11
-
On the beat detection performance in long-term ECG monitoring scenarios
Sensors (Switzerland), Vol. 18, Núm. 5
-
Simple Algorithms for Estimating the Symbol Timing Offset in DCT-Based Multicarrier Systems
Wireless Communications and Mobile Computing, Vol. 2018
-
T-Wave Alternans Analysis with Electrocardiographic Imaging
Computing in Cardiology
2017
-
Automatic system for the analysis of flexion angle of the knee using a probabilistic model
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
-
Benchmarking of a T-wave alternans detection method based on empirical mode decomposition
Computer Methods and Programs in Biomedicine, Vol. 145, pp. 147-155
-
Noise maps for quantitative and clinical severity towards long-term ECG monitoring
Sensors (Switzerland), Vol. 17, Núm. 11
2016
-
Clinical Severity of Noise in ECG
2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43
-
Clinical severity of noise in ECG
Computing in Cardiology
-
Computational efficiency and accuracy for QRS detection algorithms on clinical long term multilead monitoring
Computing in Cardiology
-
Sudden cardiac risk stratification with electrocardiographic indices - A review on computational processing, technology transfer, and scientific evidence
Frontiers in Physiology, Vol. 7, Núm. MAR
2014
-
Design and optimization of an ECG /holter hybrid system for mobile systems based on DSPic
Computing in Cardiology
-
Nonparametric signal processing validation in T-wave alternans detection and estimation
IEEE Transactions on Biomedical Engineering, Vol. 61, Núm. 4, pp. 1328-1338