J
Jesus Lazaro
Researcher at University of Zaragoza
Publications - 81
Citations - 1401
Jesus Lazaro is an academic researcher from University of Zaragoza. The author has contributed to research in topics: Photoplethysmogram & Heart rate variability. The author has an hindex of 15, co-authored 71 publications receiving 872 citations. Previous affiliations of Jesus Lazaro include University of Connecticut & Katholieke Universiteit Leuven.
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Journal ArticleDOI
Pulse Rate Variability Analysis for Discrimination of Sleep-Apnea-Related Decreases in the Amplitude Fluctuations of Pulse Photoplethysmographic Signal in Children
TL;DR: The results suggest that PRV can be used in apnea detectors based on DAP events, to discriminate apneic from nonapneic events avoiding the need for ECG recordings.
Journal ArticleDOI
Inclusion of Respiratory Frequency Information in Heart Rate Variability Analysis for Stress Assessment
Alberto Hernando,Jesus Lazaro,Eduardo Gil,Adriana Arza,Jorge Mario Garzon,Raúl López-Antón,Concepción de la Cámara,Pablo Laguna,Jordi Aguiló,Raquel Bailon +9 more
TL;DR: Joint analysis of respiration and HRV obtains a more reliable characterization of autonomic nervous response to stress, with the respiratory rate being higher and less stable during stress than during relax.
Journal ArticleDOI
Deriving respiration from photoplethysmographic pulse width.
TL;DR: The presented methods, PWV and combination of PPG derived respiration methods, avoid the need of ECG to derive respiration without degradation of the obtained estimates, so it is possible to have reliable respiration rate estimates from just the PPG signal.
Journal ArticleDOI
Measuring acute stress response through physiological signals: towards a quantitative assessment of stress
Adriana Arza,Adriana Arza,Jorge M Garzón-Rey,Jesus Lazaro,Jesus Lazaro,Eduardo Gil,Raúl López-Antón,Conchita de la Camara,Pablo Laguna,Raquel Bailon,Jordi Aguiló,Jordi Aguiló +11 more
TL;DR: A quantitative method for monitoring acute stress levels in healthy young people using biomarkers from physiological signals that can be unobtrusively monitored and results obtained show that, in these experimental conditions, stress can be monitored from unobtrusive biomarkers.
Journal ArticleDOI
Electrocardiogram Derived Respiratory Rate from QRS Slopes and R-Wave Angle
Jesus Lazaro,Alejandro Alcaine,Daniel Romero,Eduardo Gil,Pablo Laguna,Esther Pueyo,Raquel Bailon +6 more
TL;DR: A method based on QRS slopes and R-wave angle, which reflect respiration-induced beat morphology variations, outperform those obtained by other reported methods, both in tilt and stress testing.