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Arman Naseri

Showing results (1-10 of 4) with videos related to

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JMIR Medical Informatics|January 19, 2022
Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of ViewArman Naseri Jahfari, David Tax, Marcel Reinders, et al.
Scientific Reports|July 22, 2025
Tackling inter-subject variability in smartwatch data using factorization modelsArman Naseri, David M J Tax, Ivo van der Bilt, et al.
Heliyon|November 18, 2024
Heart disease detection using an acceleration-deceleration curve-based neural network with consumer-grade smartwatch dataArman Naseri, David M J Tax, Marcel Reinders, et al.
Cardiovascular Digital Health Journal|January 15, 2024
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearablesArman Naseri, David Tax, Pim van der Harst, et al.
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Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
JMIR Medical Informatics|January 19, 2022
Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of ViewArman Naseri Jahfari, David Tax, Marcel Reinders, et al.
Scientific Reports|July 22, 2025
Tackling inter-subject variability in smartwatch data using factorization modelsArman Naseri, David M J Tax, Ivo van der Bilt, et al.
Heliyon|November 18, 2024
Heart disease detection using an acceleration-deceleration curve-based neural network with consumer-grade smartwatch dataArman Naseri, David M J Tax, Marcel Reinders, et al.
Cardiovascular Digital Health Journal|January 15, 2024
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearablesArman Naseri, David Tax, Pim van der Harst, et al.
Pageof 1