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Heart Rate Estimation from Noisy PPGs Using 1D/2D Conversio..:

, In: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers,

Dark, Emil ; Saleem, Umer ; Lämsä, Arttu.. - p. 163-167 , 2022

Link: https://dl.acm.org/doi/10.1145/3544793.3563407

RT 
T1 <cTitle>Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Heart Rate Estimation from Noisy PPGs Using 1D/2D Conversion and Transfer Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3563407&Exemplar=1&LAN=DE
				
A1 Dark, Emil
A1 Saleem, Umer
A1 Lämsä, Arttu
A1 Álvarez Casado, Constantino
A1 Bordallo López, Miguel
PB ACM
YR 2022
K1 Deep learning
K1 Heart rate estimation
K1 PPG
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Multi-task learning
K1 Transfer learning
K1 Mathematics of computing
K1 Probability and statistics
K1 Statistical paradigms
K1 Time series analysis
SP 163
OP 167
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3544793.3563407
DO https://dl.acm.org/doi/10.1145/3544793.3563407
SF ELIB - SuUB Bremen

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