Novel Blood Pressure Waveform Reconstruction from Photoplethysmography
using Cycle Generative Adversarial Networks

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

24 January 2022

Milad Asgari Mehrabadi

Seyed Amir Hossein Aqajari

Amir Hosein Afandizadeh Zargari

Amir M. Rahmani

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Papers citing "Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks"

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INN-PAR: Invertible Neural Network for PPG to ABP ReconstructionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Soumitra Kundu Gargi Panda Saumik Bhattacharya Aurobinda Routray Rajlakshmi Guha 212 0 0 13 Sep 2024
A Review of Deep Learning Methods for Photoplethysmography Data Guangkun Nie Jiabao Zhu Gongzheng Tang Deyun Zhang Shijia Geng Qinghao Zhao Shenda Hong 162 15 0 23 Jan 2024
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN Amir Hosein Afandizadeh Zargari Seyed Amir Hossein Aqajari Hadi Khodabandeh Amir M. Rahmani Fadi J. Kurdahi 81 47 0 22 Jun 2021
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 100 98 0 04 May 2020