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Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
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Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis

Matthew B. Webster
Dongheon Lee
Joonnyong Lee
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis"

3 / 3 papers shown
Title
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Matthew B. Webster
Joonnyong Lee
48
1
0
31 Aug 2023
Learning Independent Features with Adversarial Nets for Non-linear ICA
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OODCML
63
94
0
13 Oct 2017
Feature Learning from Incomplete EEG with Denoising Autoencoder
Feature Learning from Incomplete EEG with Denoising Autoencoder
Junhua Li
Z. Struzik
Liqing Zhang
A. Cichocki
33
150
0
03 Oct 2014

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