PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments

Electrocardiograms (ECGs) provide crucial information for evaluating a patient’s cardiovascular health; however, they are not always easily accessible. Photoplethysmography (PPG), a technology commonly used in wearable devices such as smartwatches, has shown promise for constructing ECGs. Several me...

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Detalles Bibliográficos
Autores principales: Tang, Qunfeng, Chen, Zhencheng, Ward, Rabab, Menon, Carlo, Elgendi, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295332/
https://www.ncbi.nlm.nih.gov/pubmed/37370561
http://dx.doi.org/10.3390/bioengineering10060630

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295332/
https://www.ncbi.nlm.nih.gov/pubmed/37370561
http://dx.doi.org/10.3390/bioengineering10060630

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