Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model | Paper Citation Record

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This paper cites On the analysis of fingertip photoplethysmogram signals.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model On the analysis of fingertip photoplethysmogram signals

Reference 1

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Observation 754ea836-aef7-494d-9b17-67d048f76a90 · outbound

This paper cites Wrist photoplethysmography signal quality assessment for reliable heart rate estimate and morphological analysis.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Wrist photoplethysmography signal quality assessment for reliable heart rate estimate and morphological analysis

Reference 2

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Observation d89a802b-b5bc-4ca8-9267-bf21de5c280c · outbound

This paper cites Highly wearable cuff- less blood pressure and heart rate monitoring with single-arm electro- cardiogram and photoplethysmogram signals.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Highly wearable cuff- less blood pressure and heart rate monitoring with single-arm electro- cardiogram and photoplethysmogram signals

Reference 3

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Observation b0a8d0b2-9dfa-4d05-9884-de0c1e82f47a · outbound

This paper cites Adapting a generative pretrained transformer achieves sota performance in assessing diverse physiological functions using only photoplethysmography signals: A gpt-ppg approach.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Adapting a generative pretrained transformer achieves sota performance in assessing diverse physiological functions using only photoplethysmography signals: A gpt-ppg approach

Reference 4

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This paper cites PaPaGei: Open Foundation Models for Optical Physiological Signals.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model PaPaGei: Open Foundation Models for Optical Physiological Signals

Reference 5

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This paper cites Large-scale Training of Foundation Models for Wearable Biosignals.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Large-scale Training of Foundation Models for Wearable Biosignals

Reference 6

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This paper cites Signal quality assessment of ppg signals using stft time-frequency spectra and deep learning approaches.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Signal quality assessment of ppg signals using stft time-frequency spectra and deep learning approaches

Reference 7

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Observation 614ebf2e-bbf5-4bb0-a028-11fef15ea330 · outbound

This paper cites Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:14.066389Z

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Observation 1ee885f8-4a42-45d9-9b00-c7b94d21b159 · outbound

This paper cites Estimation of aortic stiffness by finger photoplethys- mography using enhanced pulse wave analysis and machine learning.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Estimation of aortic stiffness by finger photoplethys- mography using enhanced pulse wave analysis and machine learning

Reference 9

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This paper cites Biometric au- thentication using the ppg: A long-term feasibility study.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Biometric au- thentication using the ppg: A long-term feasibility study

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:14.045145Z

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Observation bfc793c8-f1dc-4575-acef-048b5f736c6f · outbound

This paper cites A review of heartbeat detection systems for automotive applications.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model A review of heartbeat detection systems for automotive applications

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:14.034088Z

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Observation cca1690c-fc3f-4d59-801a-9b93e1f4bcd6 · outbound

This paper cites Rehabilitation assessment system for stroke patients based on fusion-type optoelectronic plethysmography device and multi- modality fusion model: Design and validation.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Rehabilitation assessment system for stroke patients based on fusion-type optoelectronic plethysmography device and multi- modality fusion model: Design and validation

Reference 12

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This paper cites an unresolved cited work.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Unresolved cited work

Reference 13

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Observation 1b9d86ea-b0c8-472c-baa4-f66e055b3bb6 · outbound

This paper cites Usefulness of trends in continuous elec- trocardiographic telemetry monitoring to predict in-hospital cardiac arrest.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Usefulness of trends in continuous elec- trocardiographic telemetry monitoring to predict in-hospital cardiac arrest

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:14.002073Z

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This paper cites A preliminary study of continuous signals in predictive modeling of cardiac arrest in pediatric icu pa- tients using electrocardiography and photoplethysmography analytics.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model A preliminary study of continuous signals in predictive modeling of cardiac arrest in pediatric icu pa- tients using electrocardiography and photoplethysmography analytics

Reference 15

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Observation f4d01747-da63-422a-a76a-d5607a91385b · outbound

This paper cites Early detection of sepsis utilizing deep learning on electronic health record event sequences.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Early detection of sepsis utilizing deep learning on electronic health record event sequences

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.981590Z

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Observation 6050b964-189d-456b-99a0-6f11c54f32c6 · outbound

This paper cites Automated myocardial infarction and angina detection using second derivative of photoplethysmography.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Automated myocardial infarction and angina detection using second derivative of photoplethysmography

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.972262Z

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Observation e8995148-81db-441c-bc11-8654cd323f87 · outbound

This paper cites An algorithm strategy for precise patient monitoring in a connected healthcare enterprise.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model An algorithm strategy for precise patient monitoring in a connected healthcare enterprise

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.962561Z

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Observation 0bcdafa3-dbcf-4a3e-b6e8-dccfdbd93d32 · outbound

This paper cites Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.950964Z

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Observation eae0e9dd-38f8-47ac-a9d4-bc16f50ecc4d · outbound

This paper cites Predictive combinations of monitor alarms preceding in-hospital code blue events.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Predictive combinations of monitor alarms preceding in-hospital code blue events

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.939872Z

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This paper cites Validating the electronic cardiac arrest risk triage (ecart) score for risk stratification of surgical inpatients in the postoperative setting: retrospective cohort study.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Validating the electronic cardiac arrest risk triage (ecart) score for risk stratification of surgical inpatients in the postoperative setting: retrospective cohort study

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.928838Z

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Observation c27bcbdc-50c7-4de3-a6eb-0157950c8b3f · outbound

This paper cites Modified early warning score vs cardiac arrest risk triage score for prediction of cardiopulmonary arrest: A case–control study.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Modified early warning score vs cardiac arrest risk triage score for prediction of cardiopulmonary arrest: A case–control study

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.917498Z

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This paper cites an unresolved cited work.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T04:32:13.905775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7800e4e5-91f0-4ac4-ba36-5b126316e813 · outbound

This paper cites Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.894621Z

Source-reported events for the cited work

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This paper cites Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in icu.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in icu

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.883302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c78bcc0-63ea-43f9-8007-0c34e9a9c1a8 · outbound

This paper cites Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.871506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ed744bc-fc20-4fd2-83ea-bebaf4450030 · outbound

This paper cites Prediction of in-hospital cardiac arrest in the intensive care unit: Machine learning–based multimodal approach.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Prediction of in-hospital cardiac arrest in the intensive care unit: Machine learning–based multimodal approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.859611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites Abstract 4136643: Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Abstract 4136643: Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.848075Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06a01b2f-f72d-4468-9540-96c1083a32a5 · outbound

This paper cites Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.837790Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc23b20c-e9e1-4d29-8e6a-8787ea9a8338 · outbound

This paper cites Features from the pho- toplethysmogram and the electrocardiogram for estimating changes in blood pressure.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Features from the pho- toplethysmogram and the electrocardiogram for estimating changes in blood pressure

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.827742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites Foundation models for physiological data, how to develop them, and what to expect of them.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Foundation models for physiological data, how to develop them, and what to expect of them

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.815929Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a49f1c1-4890-461a-8264-f7d0906c0d12 · outbound

This paper cites Siamquality: a convnet-based foundation model for photoplethysmography signals.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Siamquality: a convnet-based foundation model for photoplethysmography signals

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.804130Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bff79f66-05f6-49c1-b9ef-e1283f2feb2c · outbound

This paper cites Universal pooling method of multi-layer features from pretrained models for speaker verification.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Universal pooling method of multi-layer features from pretrained models for speaker verification

Reference 33

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This paper cites Attention is all you need.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Attention is all you need

Reference 34

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This paper cites Flashattention: Fast and memory-efficient exact attention with io- awareness.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Flashattention: Fast and memory-efficient exact attention with io- awareness

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.786200Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cdd62aca-ce8a-408b-ba45-1083e824e81e · outbound

This paper cites Long short-term memory.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Long short-term memory

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 463e12e1-581b-44be-b94c-c58246420ff4 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 37

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Observation d93cdb52-8b76-4168-a696-c99eee882dc6 · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model xLSTM: Extended Long Short-Term Memory

Reference 38

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Observation 3cb2b0ea-1576-4942-8bdb-fdd57e91709a · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Mimic-iv, a freely accessible electronic health record dataset

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T04:32:13.491954Z

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This paper cites Understanding how dimension reduction tools work: an empirical approach to deciphering t-sne, umap, trimap, and pacmap for data visualization.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Understanding how dimension reduction tools work: an empirical approach to deciphering t-sne, umap, trimap, and pacmap for data visualization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.755415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d5fea28-3630-413c-ab4e-69a44faacbca · outbound

This paper cites pyppg: A python toolbox for comprehensive photoplethysmography signal analysis.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model pyppg: A python toolbox for comprehensive photoplethysmography signal analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.741799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 073a7acf-1bb7-471c-953e-9a2431184c4a · outbound

This paper cites MARS: Unleashing the Power of Variance Reduction for Training Large Models.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model MARS: Unleashing the Power of Variance Reduction for Training Large Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T04:32:13.501247Z

Source-reported events for the cited work

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Observation 7fbf9298-c1d9-4ab7-94f6-0821c66331f0 · outbound

This paper cites Development of a real-time risk prediction model for in-hospital cardiac arrest in critically ill patients using deep learning: retrospective study.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Development of a real-time risk prediction model for in-hospital cardiac arrest in critically ill patients using deep learning: retrospective study

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.730180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e16085d-7e2f-4c99-be65-45d6dfd222df · outbound

This paper cites Cumulative time series representation for code blue prediction in the intensive care unit.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Cumulative time series representation for code blue prediction in the intensive care unit

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.718474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9531dd0-e05f-471b-a064-a37bad006876 · outbound

This paper cites Explainable artificial intelligence warning model using an ensemble approach for in-hospital cardiac arrest prediction: Retrospective cohort study.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Explainable artificial intelligence warning model using an ensemble approach for in-hospital cardiac arrest prediction: Retrospective cohort study

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.706634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a20f401d-cbd1-4add-a110-1547789852b8 · outbound

This paper cites Generalizability of superalarm via cross-institutional performance evaluation.

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model Generalizability of superalarm via cross-institutional performance evaluation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:32:13.693571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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