Paper Citation Record · LEDGER

Sleep Staging from Electrocardiography and Respiration with Deep Learning

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:1908.11463.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.11463 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:18:10.788403Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:10:00.006448Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy27
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3833c869-8197-4f12-80d1-abb4ea37421d · outbound

This paper cites The visual scoring of sleep in adults.

Sleep Staging from Electrocardiography and Respiration with Deep Learning The visual scoring of sleep in adults

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.121420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af3804b3-b55e-41a8-bb15-0c87697dafa0 · outbound

This paper cites Respiratory cycle-related EEG changes: response to CPAP.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Respiratory cycle-related EEG changes: response to CPAP

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.110460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9dba2125-6262-4075-b611-1d2577a3c3c5 · outbound

This paper cites Association Between Phase Coupling of Respiratory Sinus Arrhythmia and Slow Wave Brain Activity During Sleep.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Association Between Phase Coupling of Respiratory Sinus Arrhythmia and Slow Wave Brain Activity During Sleep

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.099992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03b67645-8464-4d63-833d-33ae1c78c344 · outbound

This paper cites Modulations of Heart Rate, ECG, and Cardio- Respiratory Coupling Observed in Polysomnography.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Modulations of Heart Rate, ECG, and Cardio- Respiratory Coupling Observed in Polysomnography

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.088935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77639547-b7c0-4db6-8eef-36c03c63ff4b · outbound

This paper cites Relationship between delta power and the electrocardiogram-derived cardiopulmonary spectrogram: possible implications for assessing the effectiveness of sleep.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Relationship between delta power and the electrocardiogram-derived cardiopulmonary spectrogram: possible implications for assessing the effectiveness of sleep

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.077795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 557e21fb-0d45-4539-8271-79fbc1922062 · outbound

This paper cites A Respiration-Coupled Rhythm in the Rat Hippocampus Independent of Theta and Slow Oscillations.

Sleep Staging from Electrocardiography and Respiration with Deep Learning A Respiration-Coupled Rhythm in the Rat Hippocampus Independent of Theta and Slow Oscillations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.067238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19c18a80-d0d0-4785-bfac-23fb9c9c2480 · outbound

This paper cites Baroreflex buffering of sympathetic activation during sleep: evidence from autonomic assessment of sleep macroarchitecture and microarchitecture.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Baroreflex buffering of sympathetic activation during sleep: evidence from autonomic assessment of sleep macroarchitecture and microarchitecture

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.053779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05a8b945-1d2a-408a-a849-e36e902ddce8 · outbound

This paper cites An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep.

Sleep Staging from Electrocardiography and Respiration with Deep Learning An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.042477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6557564e-2e40-45ce-ba5e-2f5b67d32e7c · outbound

This paper cites Blood pressure surges in REM sleep: A mini review.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Blood pressure surges in REM sleep: A mini review

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.030889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 985f494c-2fae-47a7-91de-365e97e6714d · outbound

This paper cites Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea and insomnia.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea and insomnia

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.020251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6a3f3e2-d125-47e3-8cdf-164d075cf116 · outbound

This paper cites Sleep devices: wearables and nearables, informational and interventional, consumer and clinical.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Sleep devices: wearables and nearables, informational and interventional, consumer and clinical

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:11.009530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 409837fe-6a1c-497b-b97d-3f42d2bc6c67 · outbound

This paper cites Automatic sleep staging from ventilator signals in non-invasive ventilation.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Automatic sleep staging from ventilator signals in non-invasive ventilation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.998132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3844b99c-ff17-4757-9693-97ee02899b5c · outbound

This paper cites Automatic sleep staging based on ballistocardiographic signals recorded through bed sensors.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Automatic sleep staging based on ballistocardiographic signals recorded through bed sensors

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.986367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c71b9c1-f895-4cf4-a0dc-6478f9b78bf4 · outbound

This paper cites Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.974766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71294ee9-d899-418a-ac82-df6b254bccd1 · outbound

This paper cites Non-Contact Estimation of Sleep Staging.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Non-Contact Estimation of Sleep Staging

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.961846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8dd1e205-4124-40e8-a436-058bd6c12c36 · outbound

This paper cites Atypical sleep in ventilated patients: empirical electroencephalography findings and the path toward revised ICU sleep scoring criteria.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Atypical sleep in ventilated patients: empirical electroencephalography findings and the path toward revised ICU sleep scoring criteria

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.951059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8373dad1-85a0-47f1-9a20-6897a419f363 · outbound

This paper cites Expert-level sleep scoring with deep neural networks.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Expert-level sleep scoring with deep neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.939517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72e38aa1-5413-45b1-999e-0f18b3ce4d56 · outbound

This paper cites A real-time QRS detection algorithm.

Sleep Staging from Electrocardiography and Respiration with Deep Learning A real-time QRS detection algorithm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.928030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d4b2d57-4126-4537-b97d-a1142954f9ce · outbound

This paper cites ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit.

Sleep Staging from Electrocardiography and Respiration with Deep Learning ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.916435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1bb92d5f-db97-4a53-bdaa-35881a56a2ae · outbound

This paper cites Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.904543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4720a0da-1a71-4a01-8447-a5c138f0ca99 · outbound

This paper cites Heart Rate Analysis for Human Factors: Development and Validation of an Open Source Toolkit for Noisy Naturalistic Heart Rate Data.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Heart Rate Analysis for Human Factors: Development and Validation of an Open Source Toolkit for Noisy Naturalistic Heart Rate Data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.894080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f415697-e49f-412a-b088-b3bdf96fa278 · outbound

This paper cites Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.882508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f5836ce-9dd1-49df-a8d7-9778d1530c91 · outbound

This paper cites Sleep stage classification with ECG and respiratory effort.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Sleep stage classification with ECG and respiratory effort

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.868784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c85a8e46-6684-44ac-a84f-3c437aa63cc4 · outbound

This paper cites Learning sleep stages from radio signals: A conditional adversarial architecture.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Learning sleep stages from radio signals: A conditional adversarial architecture

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.856449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ce8a035-68ec-49f3-87f4-b649d21bea25 · outbound

This paper cites Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.844505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40fe054b-0f1c-45b3-9513-18b64f7a527b · outbound

This paper cites LSTM knowledge transfer for HRV- based sleep staging.

Sleep Staging from Electrocardiography and Respiration with Deep Learning LSTM knowledge transfer for HRV- based sleep staging

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.833361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3136675d-8639-40f1-a7c6-64696e76b13b · outbound

This paper cites Odds ratio product of sleep EEG as a continuous measure of sleep state.

Sleep Staging from Electrocardiography and Respiration with Deep Learning Odds ratio product of sleep EEG as a continuous measure of sleep state

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:18:10.821291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation ecc04da4-1a5a-4b31-a39f-790ba2455f79 · inbound

How Far Can Wearable-Compatible Signals Go? A Controlled Decomposition of Non-EEG Sleep Staging cites this paper.

How Far Can Wearable-Compatible Signals Go? A Controlled Decomposition of Non-EEG Sleep Staging Sleep Staging from Electrocardiography and Respiration with Deep Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T14:10:00.006448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.