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A Review of Deep Learning Methods for Photoplethysmography Data

A Review of Deep Learning Methods for Photoplethysmography Data

23 January 2024
Guangkun Nie
Jiabao Zhu
Gongzheng Tang
Deyun Zhang
Shijia Geng
Qinghao Zhao
Shenda Hong
ArXivPDFHTML

Papers citing "A Review of Deep Learning Methods for Photoplethysmography Data"

4 / 4 papers shown
Title
Stress Detection Using PPG Signal and Combined Deep CNN-MLP Network
Stress Detection Using PPG Signal and Combined Deep CNN-MLP Network
Yasin Hasanpoor
Koorosh Motaman
Bahram Tarvirdizadeh
Khalil Alipour
Mohammad Ghamari
30
13
0
10 Oct 2024
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
20
22
0
24 Jan 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
31
54
0
05 Dec 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
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