A Deep Learning Approach for Estimating SpO<sub>2</sub> Using a Smartphone Camera-Reference-Cited by-同舟云学术

A Deep Learning Approach for Estimating SpO₂ Using a Smartphone Camera

Published:2023 Issue: Volume:72 Page:1-8
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lampier Lucas C.¹^ORCID,Floriano Alan²^ORCID,Valadão Carlos T.¹^ORCID,Silva Letícia A.¹^ORCID,De O. Caldeira Eliete M.³^ORCID,Bastos-Filho Teodiano F.¹^ORCID

Affiliation:

1. Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória, Brazil

2. Center of Technological Sciences, State University of Northern Paraná, Bandeirantes, Brazil

3. Department of Electrical Engineering, State University of Northern Paraná, Bandeirantes, Brazil

Funder

Brazilian Ministry of Science, Technology, Innovations and Communications

FAPES

State of Esp?rito Santo, Brazil, that supports scientific and technological development, and CAPES

Coordena?ao de Aperfei?oamento de Pessoal de N?vel Superior

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10238342.pdf?arnumber=10238342

Reference20 articles.

1. 1D convolutional neural networks and applications: A survey

2. A deep learning approach to estimate pulse rate by remote photoplethysmography

3. Signal processing methods for pulse oximetry

4. A survey on long short-term memory networks for time series prediction

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