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Serena Zanelli
Serena Zanelli
PhD candidate, Paris Sorbonne Nord, Telecom SudParis, Axelife
在 math.univ-paris13.fr 的电子邮件经过验证
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Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
PH Charlton, B Paliakaitė, K Pilt, M Bachler, S Zanelli, D Kulin, J Allen, ...
American Journal of Physiology-Heart and Circulatory Physiology 322 (4 …, 2022
662022
Transfer learning of CNN-based signal quality assessment from clinical to non-clinical PPG signals
S Zanelli, MA El Yacoubi, M Hallab, M Ammi
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
182021
Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review
S Zanelli, M Ammi, M Hallab, MA El Yacoubi
Sensors 22 (13), 4890, 2022
162022
Type 2 diabetes detection with light CNN from single raw PPG wave
S Zanelli, MA El Yacoubi, M Hallab, M Ammi
IEEE Access 11, 57652-57665, 2023
52023
Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling
B Krishnan, S Zanelli, S Boudaoud, L Scapucciati, J McPhee, N Jiang
Biomedical Signal Processing and Control 81, 104446, 2023
42023
Clustered photoplethysmogram pulse wave shapes and their associations with clinical data
S Zanelli, K Eveilleau, PH Charlton, M Ammi, M Hallab, MA El Yacoubi
Frontiers in Physiology 14, 1176753, 2023
12023
Type 2 diabetes detection with light CNN from single raw PPG wave
Z Serena, M Ammi, M Hallab, MAA El Yacoubi
Available at SSRN 4145219, 2022
12022
Developing technologies to assess vascular ageing: a roadmap from VascAgeNet
S Zanelli, D Agnoletti, J Alastruey, J Allen, E Bianchini, V Bikia, ...
Physiological Measurement, 2024
2024
Risk assessment of diabetic retinopathy with machine and deep learning models with PPG signals and PWV
S Zanelli, K Eveilleau, M Ammi, M Hallab, MA El Yacoubi
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
On the potential of AI based health assessment from photopletysmographic signals
S Zanelli, MA El Yacoubi, M Hallab, M Ammi
Colloque en TéléSANté et dispositifs biomédicaux: JETSAN, 2023
2023
Screening of the muscular fatigue with aging at low isometric contractions using shape analysis of HD-sEMG signals
S ZANELLI
Politecnico di Milano, 2017
2017
Age-Sensitive High Density Surface Electromyogram Indices for Detecting Muscle Fatigue Using Core Shape Modelling
N Jiang, B Krishnan, S Zanelli, S Boudaoud, L Scapucciati, J McPhee
Available at SSRN 4074648, 0
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