Home ›
Entities
› academia
› A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Research article (Sensors, 2022) · cited 86× · AI/ML
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Summary
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals is a scholarly article[1].
Key Facts
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-shallow-u-net-architecture-for-reliably-predicting-blood-pressure-bp-from-photoplethysmogram-ppg-and-electrocardiogram
MLA“A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-shallow-u-net-architecture-for-reliably-predicting-blood-pressure-bp-from-photoplethysmogram-ppg-and-electrocardiogram.
BibTeX@misc{4ortxyz_a-shallow-u-net-architecture-for-reliably-predicting-blood-pressure-bp-from-photoplethysmogram-ppg-and-electrocardiogram_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals}}, year = {2026}, url = {https://4ort.xyz/entity/a-shallow-u-net-architecture-for-reliably-predicting-blood-pressure-bp-from-photoplethysmogram-ppg-and-electrocardiogram}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals — https://4ort.xyz/entity/a-shallow-u-net-architecture-for-reliably-predicting-blood-pressure-bp-from-photoplethysmogram-ppg-and-electrocardiogram (retrieved 2026-05-24)