An Experimental Review on Obstructive Sleep Apnea Detection Based on Heart Rate Variability and Machine Learning Techniques

Daniele Padovano , Arturo Martinez-Rodrigo , Jose Manuel Pastor , Jose Joaquin Rieta
2020 International Conference on e-Health and Bioengineering (EHB)

2020
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge

Daniele Padovano , Arturo Martinez-Rodrigo , José M Pastor , José J Rieta
computing in cardiology conference 1 -4

2020
On the generalization of sleep apnea detection methods based on heart rate variability and machine learning

Daniele Padovano , Arturo Martinez-Rodrigo , Jose M Pastor , Jose J Rieta
IEEE Access 10 92710 -92725

7
2022
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection

Daniele Padovano , Arturo Martinez-Rodrigo , Jose M Pastor , Jose J Rieta
2022 Computing in Cardiology (CinC) 498 1 -4

2
2022
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection

Daniele Padovano , Arturo Martinez-Rodrigo , Jose M Pastor , Jose J Rieta
2023 Computing in Cardiology (CinC) 50 1 -4

2023
Machine Learning Methods to Detect Obstructive Sleep Apnea under a Robust Testing Framework

Daniele Padovano , Arturo Martínez–Rodrigo , José Manuel Pastor , José Joaquín Rieta
2022 E-Health and Bioengineering Conference (EHB) 01 -04

2022
Intelligent Heart Rate Monitoring from a Social Robot

Arturo Martinez-Rodrigo , José Carlos Castillo , Sara Carrasco-Martínez , Daniele Padovano
Springer Nature Switzerland 43 -52

2023
Diagramas de Recurrencia General para la Detección Automática de Apnea Obstructiva del Sueno

D Padovano , A Martínez Rodrigo , José M Pastor , José J Rieta
Universidad Politécnica de Cartagena

2023