Ignacio Perez-Pozuelo
Ignacio Perez-Pozuelo
University of Cambridge & The Alan Turing Institute
Geverifieerd e-mailadres voor alumni.brown.edu - Homepage
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The future of sleep health: a data-driven revolution in sleep science and medicine
I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ...
NPJ digital medicine 3 (1), 1-15, 2020
402020
Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing
B Zhai, I Perez-Pozuelo, EAD Clifton, J Palotti, Y Guan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
162020
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
CI Tang, I Perez-Pozuelo, D Spathis, S Brage, N Wareham, C Mascolo
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
42021
Wearables, smartphones, and artificial intelligence for digital phenotyping and health
I Perez-Pozuelo, D Spathis, EAD Clifton, C Mascolo
Digital Health, 33-54, 2021
42021
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
CI Tang, I Perez-Pozuelo, D Spathis, C Mascolo
Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020
42020
Diurnal profiles of physical activity and postures derived from wrist-worn accelerometry in UK adults
I Perez-Pozuelo, T White, K Westgate, K Wijndaele, NJ Wareham, ...
Journal for the Measurement of Physical Behaviour 3 (1), 39-49, 2020
42020
Self-supervised transfer learning of physiological representations from free-living wearable data
D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo
Proceedings of the Conference on Health, Inference, and Learning, 69-78, 2021
22021
Resting heart rate as a biomarker for tracking change in cardiorespiratory fitness of UK adults: The Fenland Study
TI Gonzales, JY Jeon, T Lindsay, K Westgate, I Perez-Pozuelo, S Hollidge, ...
medRxiv, 2020
22020
Digital phenotyping and sensitive health data: Implications for data governance
I Perez-Pozuelo, D Spathis, J Gifford-Moore, J Morley, J Cowls
Journal of the American Medical Informatics Association, 2021
12021
Learning Generalizable Physiological Representations from Large-scale Wearable Data
D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo
Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020
12020
Digital phenotyping through multimodal, unobtrusive sensing
I Perez Pozuelo
University of Cambridge, 2021
2021
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms
MR Lujan, I Perez-Pozuelo, MA Grandner
Frontiers in Digital Health, 104, 2021
2021
Predicting several sleep quality metrics based on same day physical activity
J Palotti, I Perez-Pozuelo, A Al Homaid, R Mall, M Posa, H Berlin, D Jin, ...
ICLR-AI4PH 2021, 2021
2021
Detecting sleep in free-living conditions without sleep-diaries: a device-agnostic, wearable heart rate sensing approach
I Perez-Pozuelo, M Posa, D Spathis, K Westgate, N Wareham, C Mascolo, ...
medRxiv, 2020.09. 05.20188367, 2021
2021
Learning predictive temporal structure under uncertainty
R Wang, M Gates, I Perez Pozuelo, A Welchman, Z Kourtzi
SFN 2018 (San Diego, CA), 2018
2018
Discrimant Tone Encoding in Human's Superior Temporal Gyrus
IP Pozuelo
University of California, Berkeley, 2017
2017
Towards unsupervised wearable representations for longitudinal cardio-fitness prediction
D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo
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Artikelen 1–17