Paper Citation Record · LEDGER

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.06865.

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

pith.paper-citation-record.v1
1908.06865 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:33:53.728661Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

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

23 of 23 outbound references displayed

verified exact1
verified fuzzy22
unresolved0
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b215a05d-2f05-4cc7-b001-aa7a844d4205 · outbound

This paper cites The impact of the MIT-BIH arrhythmia database,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG The impact of the MIT-BIH arrhythmia database,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.115311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6bb41330-dcbb-431c-8a63-7939b1c38447 · outbound

This paper cites Testing and reporting performance results of cardiac rhythm and st segment measurement algorithms. american national standards institute, inc.(ansi),.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Testing and reporting performance results of cardiac rhythm and st segment measurement algorithms. american national standards institute, inc.(ansi),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.098561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c787c3b9-366a-4820-bf3c-aee89769869e · outbound

This paper cites Automatic classification of heartbeats using ECG morphology and heartbeat interval features,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Automatic classification of heartbeats using ECG morphology and heartbeat interval features,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.083197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66a4ee82-6e82-4dc7-9c48-b0b201c6f230 · outbound

This paper cites Heartbeat classification using feature selec- tion driven by database generalization criteria,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Heartbeat classification using feature selec- tion driven by database generalization criteria,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.066972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1fc2e37-5543-4e37-8755-a4a43bed55eb · outbound

This paper cites Arrhythmia detection using amplitude difference features based on random forest,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Arrhythmia detection using amplitude difference features based on random forest,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.049837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13317bcc-911e-4a39-8cf3-f938ba903364 · outbound

This paper cites Automatic cardiac arrhythmia detection and classification using vectorcardiograms and complex networks,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Automatic cardiac arrhythmia detection and classification using vectorcardiograms and complex networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.034106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3614efcc-97cb-4352-b793-d0f8fb6a6feb · outbound

This paper cites Heartbeat classification using disease-specific feature selection,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Heartbeat classification using disease-specific feature selection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.016999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 24f0d039-dcfd-44d8-a285-b9cd998d8727 · outbound

This paper cites Deep learning ap- proach for active classification of electrocardiogram signals,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Deep learning ap- proach for active classification of electrocardiogram signals,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:54.000924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d36104e-6787-4a19-8091-134327b384a9 · outbound

This paper cites ECG classification using wavelet packet entropy and random forests,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG ECG classification using wavelet packet entropy and random forests,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.986087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6287f23-239b-4a55-9684-752657a4b509 · outbound

This paper cites PcHD: Personalized classification of heartbeat types using a decision tree,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG PcHD: Personalized classification of heartbeat types using a decision tree,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.971350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93903dfd-a9b9-4563-a958-7cb0d1db1ff8 · outbound

This paper cites Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.956416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3684a270-9c3f-4d82-9c76-db46f099a5e6 · outbound

This paper cites ECG signals classification based on discrete wavelet transform, time domain and frequency domain features,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG ECG signals classification based on discrete wavelet transform, time domain and frequency domain features,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.940875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4db44e78-2810-4bd3-b0ea-247f6002004d · outbound

This paper cites A real-time QRS detection algorithm,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG A real-time QRS detection algorithm,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.925107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e8caaa5-d7cf-4d37-ba25-d4219b084f21 · outbound

This paper cites Theano: Deep learning on GPUs with python,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Theano: Deep learning on GPUs with python,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.910566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97608735-47f7-4d2c-b26e-e109aaeb6214 · outbound

This paper cites Neuromorphic architectures for spiking deep neural networks,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Neuromorphic architectures for spiking deep neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.895774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5130e5b1-f3b9-4c11-ad87-41e5267c228c · outbound

This paper cites 28.4 a battery-powered efficient multi- sensor acquisition system with simultaneous ECG, BIO-Z, GSR, and PPG,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG 28.4 a battery-powered efficient multi- sensor acquisition system with simultaneous ECG, BIO-Z, GSR, and PPG,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.880376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0eef3e76-b70f-4304-a32a-7b56f40eea30 · outbound

This paper cites Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.864214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7b615a9-088b-4fea-93a7-915ff340e730 · outbound

This paper cites The fractional fourier transform and time-frequency representa- tions,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG The fractional fourier transform and time-frequency representa- tions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.847666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16a81682-6475-4b91-8fd2-15a72895ec2b · outbound

This paper cites Stable recovery of sparse overcom- plete representations in the presence of noise,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Stable recovery of sparse overcom- plete representations in the presence of noise,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.831757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1bb5360-fc26-4405-beae-347bbac48f41 · outbound

This paper cites Learning representations by back-propagating errors,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Learning representations by back-propagating errors,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.816818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acb3a2f9-eee2-4b42-9f1d-75a4b1ce3cf7 · outbound

This paper cites Encoding Data for HTM Systems.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Encoding Data for HTM Systems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:33:53.770276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f307a92-10b3-4a4f-85af-32407d149f19 · outbound

This paper cites Rate-adaptive compressed-sensing and sparsity variance of biomedical signals,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Rate-adaptive compressed-sensing and sparsity variance of biomedical signals,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.801111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 426ba84a-f256-4f3a-b08f-a36371eaec53 · outbound

This paper cites Ecg artifact removal from surface emg signal using an automated method based on wavelet-ica,.

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG Ecg artifact removal from surface emg signal using an automated method based on wavelet-ica,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:33:53.786431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.