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Erick Javier Argüello-Prada

Showing results (1-10 of 6) with videos related to

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Physiological Measurement|February 21, 2020
A low-complexity PPG pulse detection method for accurate estimation of the pulse rate variability (PRV) during sudden decreases in the signal amplitudeErick Javier Argüello Prada, Alejandro Paredes Higinio
Physical and Engineering Sciences in Medicine|August 5, 2025
Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivativesErick Javier Argüello-Prada, Carlos David Castaño Mosquera
Sensors (Basel, Switzerland)|November 27, 2024
Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A ReviewErick Javier Argüello-Prada, Javier Ferney Castillo García
Journal of Medical Engineering & Technology|March 29, 2019
A novel and low-complexity peak detection algorithm for heart rate estimation from low-amplitude photoplethysmographic (PPG) signalsErick Javier Argüello Prada, Rafael Daniel Serna Maldonado
Physiological Measurement|February 20, 2025
The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distributionPeter H Charlton, Erick Javier Argüello-Prada, Jonathan Mant, et al.
Heliyon|February 19, 2024
The use of successive systolic differences in photoplethysmographic (PPG) signals for respiratory rate estimationErick Javier Argüello-Prada, Katherin Daniela Marcillo Ibarra, Kevin Leonardo Díaz Jiménez
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Physiological Measurement|February 21, 2020
A low-complexity PPG pulse detection method for accurate estimation of the pulse rate variability (PRV) during sudden decreases in the signal amplitudeErick Javier Argüello Prada, Alejandro Paredes Higinio
Physical and Engineering Sciences in Medicine|August 5, 2025
Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivativesErick Javier Argüello-Prada, Carlos David Castaño Mosquera
Sensors (Basel, Switzerland)|November 27, 2024
Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A ReviewErick Javier Argüello-Prada, Javier Ferney Castillo García
Journal of Medical Engineering & Technology|March 29, 2019
A novel and low-complexity peak detection algorithm for heart rate estimation from low-amplitude photoplethysmographic (PPG) signalsErick Javier Argüello Prada, Rafael Daniel Serna Maldonado
Physiological Measurement|February 20, 2025
The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distributionPeter H Charlton, Erick Javier Argüello-Prada, Jonathan Mant, et al.
Heliyon|February 19, 2024
The use of successive systolic differences in photoplethysmographic (PPG) signals for respiratory rate estimationErick Javier Argüello-Prada, Katherin Daniela Marcillo Ibarra, Kevin Leonardo Díaz Jiménez
Pageof 1