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BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via
  Belief Propagation

BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation

13 June 2023
Valentin Bieri
Paul Streli
B. U. Demirel
Christian Holz
ArXivPDFHTML

Papers citing "BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation"

9 / 9 papers shown
Title
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals
Zhaoliang Chen
C. Ding
Saurabh Kataria
Runze Yan
Minxiao Wang
Randall J Lee
Xiao Hu
LM&MA
MedIm
67
0
0
11 Mar 2025
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
Manuel Meier
B. U. Demirel
Christian Holz
31
1
0
23 Dec 2024
Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During
  Sleep
Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep
Max Moebus
Lars Hauptmann
Nicolas Kopp
B. U. Demirel
Bjorn Braun
Christian Holz
21
2
0
01 Nov 2024
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from
  a Smartwatch
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
33
2
0
02 May 2024
SiamQuality: A ConvNet-Based Foundation Model for Imperfect
  Physiological Signals
SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
C. Ding
Zhicheng Guo
Zhaoliang Chen
Randall J Lee
Cynthia Rudin
Xiao Hu
MedIm
40
1
0
26 Apr 2024
SimPer: Simple Self-Supervised Learning of Periodic Targets
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang
Xin Liu
Jiang Wu
Silviu Borac
Dina Katabi
M. Poh
Daniel J. McDuff
41
45
0
06 Oct 2022
Efficient Deep Learning-based Estimation of the Vital Signs on
  Smartphones
Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones
Taha Samavati
Mahdi Farvardin
Aboozar Ghaffari
14
5
0
13 Apr 2022
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1