Reference health
Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network
24/24 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 24 checked references that resolve
resolves10.1016/j.compbiomed.2013.11.019
Heartbeat classification using disease-specific feature selection
resolves10.1016/j.ins.2016.01.082
Deep learning approach for active classification of electrocardiogram signals
resolves10.1109/TBME.2015.2468589
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
resolves10.1016/j.ins.2017.04.012
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
resolves10.1109/MSP.2012.2205597
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
resolves10.1038/srep14351
Analyzing animal behavior via classifying each video frame using convolutional neural networks
resolves10.1038/srep26286
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
resolves10.1016/j.bspc.2013.01.005
ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
resolves10.1109/TBME.2012.2213253
Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals
resolves10.1109/TBME.2012.2202662
An Automatic Patient-Adapted ECG Heartbeat Classifier Allowing Expert Assistance
resolves10.1109/TBME.2004.827359
Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features
resolves10.1109/JBHI.2016.2631247
Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG
resolves10.1109/10.740880
Real-time discrimination of ventricular tachyarrhythmia with Fourier-transform neural network
resolves10.1109/10.623058
A patient-adaptable ECG beat classifier using a mixture of experts approach
resolves10.1038/srep18962
Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields
resolves10.3389/fnins.2017.00379
Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
resolves10.1109/TBME.2009.2013934
A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals
resolves10.1109/TNN.2007.900239
Block-Based Neural Networks for Personalized ECG Signal Classification
The 7 references without a DOI — listed, not checked
no DOI — not checkedref31
no DOI — not checkedref13
no DOI — not checkedHandwritten digit recognition with a back-propagation network
no DOI — not checkedImageNet classification with deep convolutional neural networks
no DOI — not checkedref27
no DOI — not checkedref1
no DOI — not checkedref22
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1109/access.2018.2833841"><img src="https://citestamp.com/citestamped/10.1109/access.2018.2833841/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1109/access.2018.2833841)