Paper Citation Record · LEDGER

Complex Deep Learning Models for Denoising of Human Heart ECG signals

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1908.10417.

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

pith.paper-citation-record.v1
1908.10417 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:43.430484Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce8c966e-ae44-464b-9988-779f992e77a5 · outbound

This paper cites ECG diagnosis in clinical practice.

Complex Deep Learning Models for Denoising of Human Heart ECG signals ECG diagnosis in clinical practice

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.844138Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a65bfe1-0de4-4089-ab30-182ddc374075 · outbound

This paper cites Removing ECG noise from surface EMG signals using adaptive filtering.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Removing ECG noise from surface EMG signals using adaptive filtering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.834093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96bad690-d246-4b47-b4dd-b53a3900317a · outbound

This paper cites Applications of adaptive filtering to ECG analysis: noise cancellation and arrythmia detection.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Applications of adaptive filtering to ECG analysis: noise cancellation and arrythmia detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.823765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6cafb27-9eeb-4c27-93d1-41761eb7badd · outbound

This paper cites Independent component analysis and decision trees for ECG holter recording de-noising.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Independent component analysis and decision trees for ECG holter recording de-noising

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.812570Z

Source-reported events for the cited work

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Observation f7e5a8a3-e4a3-4fd3-a2b1-ed8a323e5bcc · outbound

This paper cites Automatic motion and noise artifact detection in holter ECG data using empirical mode decomposition and statistical approaches.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Automatic motion and noise artifact detection in holter ECG data using empirical mode decomposition and statistical approaches

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.801512Z

Source-reported events for the cited work

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Observation 70626661-3729-4f0a-b97f-4496a16c80b4 · outbound

This paper cites Muscle and electrode motion artifacts reduction in ECG using adaptive Fourier decomposition.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Muscle and electrode motion artifacts reduction in ECG using adaptive Fourier decomposition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.791514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9202fff-3dd3-4ebe-b3e1-045cc63bde5a · outbound

This paper cites Determination of signal to noise ration of electrocardiograms filtered by band pass and Savitzky-Golay filters.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Determination of signal to noise ration of electrocardiograms filtered by band pass and Savitzky-Golay filters

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.781728Z

Source-reported events for the cited work

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Observation a793c98d-995f-4f64-80b2-b95a7922cd00 · outbound

This paper cites High frequency noise detection and handling in ECG signals.

Complex Deep Learning Models for Denoising of Human Heart ECG signals High frequency noise detection and handling in ECG signals

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.770857Z

Source-reported events for the cited work

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Observation 4f2e4a94-5d06-4c1b-b644-f0214282bcd9 · outbound

This paper cites Extended Kalman smoother with differential evolution technique for denoising of ECG signal.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Extended Kalman smoother with differential evolution technique for denoising of ECG signal

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.759823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cdc06d9-9be1-443c-b855-80fc2c0f8ed4 · outbound

This paper cites A nonlinear Bayesian filtering framework for ECG denoising.

Complex Deep Learning Models for Denoising of Human Heart ECG signals A nonlinear Bayesian filtering framework for ECG denoising

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.749100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c331224-842f-4791-8670-8cb82e84e510 · outbound

This paper cites ECG signal denoising by wavelet transform thresholding.

Complex Deep Learning Models for Denoising of Human Heart ECG signals ECG signal denoising by wavelet transform thresholding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.738672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3509e3ba-232b-4c2f-a22d-cec71bb3277f · outbound

This paper cites A Neural Network Approach to ECG Denoising.

Complex Deep Learning Models for Denoising of Human Heart ECG signals A Neural Network Approach to ECG Denoising

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T10:47:43.511352Z

Source-reported events for the cited work

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Observation cfe16161-6633-4c5e-b12e-0be2ccac5b14 · outbound

This paper cites Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:43.347038Z

Source-reported events for the cited work

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Observation e45d541f-a28e-450d-b0d7-d439ed5fa8f5 · outbound

This paper cites Deep Recurrent Neural Networks for ECG Signal Denoising.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Deep Recurrent Neural Networks for ECG Signal Denoising

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:43.351275Z

Source-reported events for the cited work

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Observation 713e9d2b-da6b-4522-acce-88bd7bc58d86 · outbound

This paper cites ECG signal enhancement based on improved denoising auto-encoder.

Complex Deep Learning Models for Denoising of Human Heart ECG signals ECG signal enhancement based on improved denoising auto-encoder

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.727396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84a7dabe-cf79-4972-829d-cfcf11fd9912 · outbound

This paper cites an unresolved cited work.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:47:43.716986Z

Source-reported events for the cited work

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Observation 57df8a32-77f6-4f5b-9d36-e271f559ba16 · outbound

This paper cites an unresolved cited work.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:47:43.706166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1dca573-3df7-4811-94a7-4483fd7526c9 · outbound

This paper cites Kumar, S.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Kumar, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.695445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86c8ee52-4d4a-4c42-ba65-43fc3af5dba6 · outbound

This paper cites [22]https://uk.mathworks.com/matlabcentral/fileexchange/10858-ecg-simulation-using- matlab : accessed August 2019.

Complex Deep Learning Models for Denoising of Human Heart ECG signals [22]https://uk.mathworks.com/matlabcentral/fileexchange/10858-ecg-simulation-using- matlab : accessed August 2019

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.685479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b76f508-f6c4-4154-ac00-a22185e2f18a · outbound

This paper cites A dynamical model for generating synthetic electrocardiogram signals.

Complex Deep Learning Models for Denoising of Human Heart ECG signals A dynamical model for generating synthetic electrocardiogram signals

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.674643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82d754ce-ed22-41e8-b059-4eae07a11e99 · outbound

This paper cites Sensors and signal processing methods for a wearable physiological parameters monitoring system.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Sensors and signal processing methods for a wearable physiological parameters monitoring system

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.663784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3735679a-da8b-4bc4-86ab-cb39d559695d · outbound

This paper cites The impact of the MIT-BIH Arrhythmia Database.

Complex Deep Learning Models for Denoising of Human Heart ECG signals The impact of the MIT-BIH Arrhythmia Database

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.653396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 766b7b84-7102-49f6-a047-be06b1844441 · outbound

This paper cites Moody, WE Muldrow, “A noise stress test for arrhythmia detectors“, Computers in Cardiology, 11, 381-384, 1984.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Moody, WE Muldrow, “A noise stress test for arrhythmia detectors“, Computers in Cardiology, 11, 381-384, 1984

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.642365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6dc8bd0f-e337-469a-aed8-ac7d7ae34c40 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource of Complex Physiologic Signals.

Complex Deep Learning Models for Denoising of Human Heart ECG signals PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource of Complex Physiologic Signals

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.632046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35528a99-74fd-461a-be76-b1d7ae53f578 · outbound

This paper cites Significance level.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Significance level

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.621326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9236862-0bf8-4d48-b5c6-88f292814523 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Deep Residual Learning for Image Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:43.394334Z

Source-reported events for the cited work

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Observation f9a5a1fa-76e8-4679-becb-0ee62d05c144 · outbound

This paper cites MATLAB System Requirements – Release 13.

Complex Deep Learning Models for Denoising of Human Heart ECG signals MATLAB System Requirements – Release 13

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.611138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e79aaa7-a0af-466c-a2fa-d86b860cacf3 · outbound

This paper cites Deep Convolutional Neural Networks for Noise Detection in ECGs.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Deep Convolutional Neural Networks for Noise Detection in ECGs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:47:43.466343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b877060d-a469-46ab-8fac-3a37a56ffdfb · outbound

This paper cites Long short -term memory.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Long short -term memory

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.600681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 585eaaa0-521f-4d02-b757-31935b1aee27 · outbound

This paper cites Deep learning with a long short-term memory networks approach for rainfall-runoff simulation.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Deep learning with a long short-term memory networks approach for rainfall-runoff simulation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.588787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c701047b-250c-42c9-846f-383d08edf0ce · outbound

This paper cites Simulation of network systems based on loop flows algorithms.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Simulation of network systems based on loop flows algorithms

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.577723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b935923-40cd-480c-860d-dd5ab45312ab · outbound

This paper cites Decision support for forecasting and fault diagnosis in water distribution systems robut loop flows state estimation technique.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Decision support for forecasting and fault diagnosis in water distribution systems robut loop flows state estimation technique

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.566321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation afdebaa8-0e6b-4bc6-8eb6-0a1f225411fa · outbound

This paper cites Bayesian neural networks for competing risks with covariates.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Bayesian neural networks for competing risks with covariates

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.555699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10e5a384-d312-47df-819c-dbf745865e0b · outbound

This paper cites An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure.

Complex Deep Learning Models for Denoising of Human Heart ECG signals An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.544674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62a45f14-92d0-4822-8efd-f43e095f5494 · outbound

This paper cites Reducing the dimensionality of data with neural networks.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Reducing the dimensionality of data with neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.533354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e8d71ab-6258-4420-bd2d-bc3a173a5ad3 · outbound

This paper cites External 30 days Holter usefulness in unexplained syncope, palpitations and cardioembolic suspected cryptogenic stroke study.

Complex Deep Learning Models for Denoising of Human Heart ECG signals External 30 days Holter usefulness in unexplained syncope, palpitations and cardioembolic suspected cryptogenic stroke study

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:47:43.522542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.