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A Deep Learning Approach to Predict Blood Pressure from PPG Signals
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
30 July 2021
Ali Tazarv
Marco Levorato
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Papers citing
"A Deep Learning Approach to Predict Blood Pressure from PPG Signals"
8 / 8 papers shown
Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios
Yiqiao Chen
Fazheng Xu
Zijian Huang
Juchi He
Zhenghui Feng
81
0
0
01 Dec 2025
Estimating Clinical Lab Test Result Trajectories from PPG using Physiological Foundation Model and Patient-Aware State Space Model -- a UNIPHY+ Approach
Minxiao Wang
Runze Yan
Carol Li
Saurabh Kataria
Xiao Hu
Matthew Clark
Timothy Ruchti
Timothy G. Buchman
Sivasubramanium V Bhavani
Randall J Lee
277
2
0
19 Sep 2025
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
N. Nasir
Mustafa Sameer
F. Barneih
O. Alshaltone
Muneeb Ahmed
234
3
0
23 May 2024
A Review of Deep Learning Methods for Photoplethysmography Data
Guangkun Nie
Jiabao Zhu
Gongzheng Tang
Deyun Zhang
Shijia Geng
Qinghao Zhao
Shenda Hong
325
26
0
23 Jan 2024
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
M. W. Nawaz
Muhammad Ahmad Tahir
Ahsan Mehmood
Muhammad Mahboob Ur Rahman
Kashif Riaz
Q. Abbasi
MedIm
339
6
0
09 Jan 2024
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
Suril Mehta
Nipun Kwatra
Mohit Jain
Daniel J. McDuff
OOD
169
6
0
23 Apr 2023
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Milad Asgari Mehrabadi
Seyed Amir Hossein Aqajari
Amir Hosein Afandizadeh Zargari
N. Dutt
Amir M. Rahmani
GAN
187
32
0
24 Jan 2022
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks
Nabil Ibtehaz
Sakib Mahmud
Muhammad E. H. Chowdhury
Amith Khandakar
Mohamed Arselene Ayari
Anas Tahir
Mohammad Sohel Rahman
MedIm
235
109
0
04 May 2020
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