ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.00594
  4. Cited By
An End-to-End and Accurate PPG-based Respiratory Rate Estimation
  Approach Using Cycle Generative Adversarial Networks

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

3 May 2021
Seyed Amir Hossein Aqajari
Rui Cao
Amir Hosein Afandizadeh Zargari
Amir M. Rahmani
ArXivPDFHTML

Papers citing "An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks"

3 / 3 papers shown
Title
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A
  Deep Encoder Approach
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach
H. Davies
Danilo Mandic
16
2
0
22 Dec 2022
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography
  using Cycle Generative Adversarial Networks
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks
Milad Asgari Mehrabadi
Seyed Amir Hossein Aqajari
Amir Hosein Afandizadeh Zargari
N. Dutt
Amir M. Rahmani
GAN
22
22
0
24 Jan 2022
An Accurate Non-accelerometer-based PPG Motion Artifact Removal
  Technique using CycleGAN
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
24
36
0
22 Jun 2021
1