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Ignacio Perez-Pozuelo

Showing results (1-10 of 8) with videos related to

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Frontiers in Digital Health|October 29, 2021
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian RhythmsMatthew R Lujan, Ignacio Perez-Pozuelo, Michael A Grandner
Patterns (New York, N.Y.)|February 24, 2022
Breaking away from labels: The promise of self-supervised machine learning in intelligent healthDimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, et al.
Journal of the American Medical Informatics Association : JAMIA|March 1, 2021
Digital phenotyping and sensitive health data: Implications for data governanceIgnacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, et al.
Journal of the American Medical Informatics Association : JAMIA|October 25, 2021
Erratum to: Digital phenotyping and sensitive health data: Implications for data governanceIgnacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, et al.
NPJ Digital Medicine|December 2, 2022
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environmentsDimitris Spathis, Ignacio Perez-Pozuelo, Tomas I Gonzales, et al.
Scientific Reports|May 13, 2022
Detecting sleep outside the clinic using wearable heart rate devicesIgnacio Perez-Pozuelo, Marius Posa, Dimitris Spathis, et al.
NPJ Digital Medicine|March 29, 2020
The future of sleep health: a data-driven revolution in sleep science and medicineIgnacio Perez-Pozuelo, Bing Zhai, Joao Palotti, et al.
Plos One|May 11, 2023
Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland StudyTomas I Gonzales, Justin Y Jeon, Timothy Lindsay, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Digital Health|October 29, 2021
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian RhythmsMatthew R Lujan, Ignacio Perez-Pozuelo, Michael A Grandner
Patterns (New York, N.Y.)|February 24, 2022
Breaking away from labels: The promise of self-supervised machine learning in intelligent healthDimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, et al.
Journal of the American Medical Informatics Association : JAMIA|March 1, 2021
Digital phenotyping and sensitive health data: Implications for data governanceIgnacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, et al.
Journal of the American Medical Informatics Association : JAMIA|October 25, 2021
Erratum to: Digital phenotyping and sensitive health data: Implications for data governanceIgnacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, et al.
NPJ Digital Medicine|December 2, 2022
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environmentsDimitris Spathis, Ignacio Perez-Pozuelo, Tomas I Gonzales, et al.
Scientific Reports|May 13, 2022
Detecting sleep outside the clinic using wearable heart rate devicesIgnacio Perez-Pozuelo, Marius Posa, Dimitris Spathis, et al.
NPJ Digital Medicine|March 29, 2020
The future of sleep health: a data-driven revolution in sleep science and medicineIgnacio Perez-Pozuelo, Bing Zhai, Joao Palotti, et al.
Plos One|May 11, 2023
Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland StudyTomas I Gonzales, Justin Y Jeon, Timothy Lindsay, et al.
Pageof 1