Refined Multiscale Entropy: Application to 24-h Holter Recordings of Heart Period Variability in Healthy and Aortic Stenosis Subjects. - José F. Valencia; Alberto Porta; Montserrat Vallverdú; Francesc Claria; Rafal Baranowski; Ewa Orlowska-Baranowska; Pere Caminal (IEEE Trans. Biomed. Eng., 2009)

Refined multiscale entropy analysis of heart period and QT interval variabilities in long QT syndrome type-1 patients. - Vlasta Bari; José F. Valencia; Montserrat Vallverdú; Giulia Girardengo; Tito Bassani; Andrea Marchi; Laura Calvillo; Pere Caminal; Sergio Cerutti; Paul A. Brink; Lia Crotti; Peter J. Schwartz; et al. (EMBC, 2013)

Prediction of nociceptive responses during sedation by time-frequency representation. - Umberto S. P. Melia; Montserrat Vallverdú; Mathieu Jospin; Erik W. Jensen; José Fernando Valencia; Francesc Claria; Pedro L. Gambús; Pere Caminal (EMBC, 2013)

Interaction between EEG and drug concentration to predict response to noxious stimulation during sedation-analgesia: Effect of the A118G genetic polymorphism. - Umberto S. P. Melia; Montserrat Vallverdú; Mathieu Jospin; José Fernando Valencia; Erik W. Jensen; Pedro L. Gambús; Alexandre Perera-Lluna; Pere Caminal (EMBC, 2014)

Assessment of sedation-analgesia by means of poincaré analysis of the electroencephalogram. - Jose D. Bolanos; Montserrat Vallverdú; Pere Caminal; Daniel F. Valencia; Xavier Borrat; Pedro L. Gambús; José F. Valencia (EMBC, 2016)

Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG. - José F. Valencia; Umberto S. P. Melia; Montserrat Vallverdú; Xavier Borrat; Mathieu Jospin; Erik W. Jensen; Alberto Porta; Pedro L. Gambús; Pere Caminal (Entropy, 2016)

Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment. - José F. Valencia; Jose D. Bolanos; Montserrat Vallverdú; Erik W. Jensen; Alberto Porta; Pedro L. Gambús (Entropy, 2019)

Are Strategies Favoring Pattern Matching a Viable Way to Improve Complexity Estimation Based on Sample Entropy? - Alberto Porta; José Fernando Valencia; Beatrice Cairo; Vlasta Bari; Beatrice De Maria; Francesca Gelpi; Franca Barbic; Raffaello Furlan (Entropy, 2020)

Prediction model of response to standardized painful stimulation during general anesthesia: Applying machine learning to the EEG signal. - Joan Altés; José F. Valencia; Sebastian Jaramillo; Pedro L. Gambús (SSCI, 2021)

Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers. - Rodolfo Mosquera Navarro; Omar Danilo Castrillón; Liliana Parra Osorio; Tiago Oliveira 002; Paulo Novais; José Fernando Valencia (PeerJ Comput. Sci., 2021)

A Machine Learning Approach to Predict Same-Day Discharge after Angiography Procedures. - Santiago Villafuerte; Jairo A. Cadena; Vladimir Trujillo; Jorge E. Sabogal; Victor M. García; José F. Valencia (EMBC, 2024)