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PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments
Research article (Bioengineering, 2023) · cited 17× · AI/ML
PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments
Summary
PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments is a scholarly article[1].
Key Facts
PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments. Retrieved May 24, 2026, from https://4ort.xyz/entity/ppg2ecgps-an-end-to-end-subject-specific-deep-neural-network-model-for-electrocardiogram-reconstruction-from-photoplethy
MLA“PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ppg2ecgps-an-end-to-end-subject-specific-deep-neural-network-model-for-electrocardiogram-reconstruction-from-photoplethy.
BibTeX@misc{4ortxyz_ppg2ecgps-an-end-to-end-subject-specific-deep-neural-network-model-for-electrocardiogram-reconstruction-from-photoplethy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments}}, year = {2026}, url = {https://4ort.xyz/entity/ppg2ecgps-an-end-to-end-subject-specific-deep-neural-network-model-for-electrocardiogram-reconstruction-from-photoplethy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments — https://4ort.xyz/entity/ppg2ecgps-an-end-to-end-subject-specific-deep-neural-network-model-for-electrocardiogram-reconstruction-from-photoplethy (retrieved 2026-05-24)
