José F. Valencia

Orcid: 0000-0003-2997-2121

According to our database1, José F. Valencia authored at least 10 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers.
PeerJ Comput. Sci., 2021

Prediction model of response to standardized painful stimulation during general anesthesia: Applying machine learning to the EEG signal.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Are Strategies Favoring Pattern Matching a Viable Way to Improve Complexity Estimation Based on Sample Entropy?
Entropy, 2020

2019
Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment.
Entropy, 2019

2016
Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG.
Entropy, 2016

Assessment of sedation-analgesia by means of poincaré analysis of the electroencephalogram.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
Interaction between EEG and drug concentration to predict response to noxious stimulation during sedation-analgesia: Effect of the A118G genetic polymorphism.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Prediction of nociceptive responses during sedation by time-frequency representation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Refined multiscale entropy analysis of heart period and QT interval variabilities in long QT syndrome type-1 patients.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2009
Refined Multiscale Entropy: Application to 24-h Holter Recordings of Heart Period Variability in Healthy and Aortic Stenosis Subjects.
IEEE Trans. Biomed. Eng., 2009


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