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Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable
  Devices

Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices

IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2021
24 March 2022
Luca Bompani
Daniele Jahier Pagliari
Matteo Risso
Simone Benatti
Enrico Macii
Luca Benini
Massimo Poncino
ArXiv (abs)PDFHTML

Papers citing "Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices"

11 / 11 papers shown
EnhancePPG: Improving PPG-based Heart Rate Estimation with
  Self-Supervision and Augmentation
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and AugmentationInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2024
Luca Benfenati
Sofia Belloni
Luca Bompani
P. Kasnesis
Xiaying Wang
Luca Benini
Massimo Poncino
Enrico Macii
Daniele Jahier Pagliari
158
1
0
20 Dec 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 SmartwatchIEEE Transactions on Biomedical Engineering (IEEE TBME), 2024
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
202
12
0
02 May 2024
A Review of Deep Learning Methods for Photoplethysmography Data
A Review of Deep Learning Methods for Photoplethysmography Data
Guangkun Nie
Jiabao Zhu
Gongzheng Tang
Deyun Zhang
Shijia Geng
Qinghao Zhao
Shenda Hong
241
19
0
23 Jan 2024
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via
  Belief Propagation
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief PropagationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Valentin Bieri
Paul Streli
B. U. Demirel
Christian Holz
201
13
0
13 Jun 2023
Energy-efficient Wearable-to-Mobile Offload of ML Inference for
  PPG-based Heart-Rate Estimation
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate EstimationDesign, Automation and Test in Europe (DATE), 2023
Luca Bompani
Matteo Risso
Noemi Tomasello
Yukai Chen
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
145
2
0
08 Jun 2023
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of
  Motion Artifacts in Photoplethysmogram Signals on Edge Devices
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge DevicesInternet of Things (IoT), 2023
Yali Zheng
Chen Henry Wu
Peizheng Cai
Zhiqiang Zhong
Hongda Huang
Yali Zheng
134
25
0
05 May 2023
Efficient Deep Learning Models for Privacy-preserving People Counting on
  Low-resolution Infrared Arrays
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared ArraysIEEE Internet of Things Journal (IEEE IoT J.), 2023
Chen Xie
Francesco Daghero
Yukai Chen
Marco Castellano
Luca Gandolfi
A. Calimera
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
273
12
0
12 Apr 2023
MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue
  Operations
MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue OperationsWorld Forum on Internet of Things (WF-IoT), 2022
P. Kasnesis
Christos Chatzigeorgiou
Dimitrios G. Kogias
C. Patrikakis
Harris V. Georgiou
Aspasia Tzeletopoulou
153
5
0
15 Oct 2022
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate
  Estimation
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation
P. Kasnesis
Lazaros Toumanidis
Alessio Burrello
Christos Chatzigeorgiou
C. Patrikakis
128
1
0
14 Oct 2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained
  Edge Nodes
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge NodesInternational Green and Sustainable Computing Conference (GSC), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
MQ
195
14
0
17 Jun 2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained
  Deep Neural Networks
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural NetworksInternational Symposium on Low Power Electronics and Design (ISLPED), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
237
3
0
01 Jun 2022
1