Schrödinger spectrum and slim CNN architecture-based signal quality estimation for Photoplethysmogram signals-Reference-Cited by-同舟云学术

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Schrödinger spectrum and slim CNN architecture-based signal quality estimation for Photoplethysmogram signals

Published:2024-08 Issue: Volume:94 Page:106240
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Sarkar Sayan^ORCID,Ghosh Aayushman

Funder

Indian Institute of Technology Delhi

IIT Bombay

Publisher

Elsevier BV

Reference66 articles.

1. Photoplethysmography signal processing and synthesis;Mejia,2021

2. Optimal signal quality index for photoplethysmogram signals;Elgendi;Bioengineering,2016

3. Signal-quality indices for the electrocardiogram and photoplethysmogram: Derivation and applications to wireless monitoring;Orphanidou;IEEE J. Biomed. Health Inf.,2015

4. An optimal filter for short photoplethysmogram signals;Liang;Sci. Data,2018

5. Signal quality measures for pulse oximetry through waveform morphology analysis;Sukor;Physiol. Meas.,2011

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