Reference health

Obstructive Sleep Apnea Detection Using Combination of CNN and LSTM Techniques

https://doi.org/10.1109/itaic.2019.8785833
CiteStamped reference-health badge
10/10 checkable references clean · checked 2026-07-25

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.

10 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 10 checked references that resolve
resolves10.1109/TASLP.2017.2758999
Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network
resolves10.1016/j.neucom.2017.02.056
ECG beat classification via deterministic learning
resolves10.1109/icbbe.2011.5780285
Sleep Apnea Detection from ECG Signal: Analysis on Optimal Features, Principal Components, and Nonlinearity
resolves10.5664/jcsm.27662
Obstructive Sleep Apnea and Risk of Motor Vehicle Crash: Systematic Review and Meta-Analysis
resolves10.1109/IEMBS.2007.4353741
A Method to Detect Obstructive Sleep Apnea Using Neural Network Classification of Time-Frequency Plots of the Heart Rate Variability
resolves10.1109/TBME.2009.2029563
Sleep Apnea Screening by Autoregressive Models From a Single ECG Lead
resolves10.1088/0967-3334/25/4/015
Automated detection of obstructive sleep apnoea at different time scales using the electrocardiogram
resolves10.1152/physrev.00043.2008
Pathophysiology of Sleep Apnea
resolves10.1016/j.neucom.2016.08.059
Multi-feature fusion deep networks
resolves10.1109/10.623058
A patient-adaptable ECG beat classifier using a mixture of experts approach
The 10 references without a DOI — listed, not checked
no DOI — not checkedref12
no DOI — not checkedObstructive Sleep Apnea Detection Using SVM-Based Classification of ECG Signal Features
no DOI — not checkedTowards end-to-end speech recognition with recurrent neural networks
no DOI — not checkedref15
no DOI — not checkedAdam: a method for stochastic optimization
no DOI — not checkedA method of solving a convex programming problem with con- vergence rate O(1/k2)
no DOI — not checkedAnalyzing noise in autoencoders and deep networks
no DOI — not checkedImagenet classification with deep convolutional neural networks
no DOI — not checkedObstructive Sleep Apnea Detection Using SVM-Based Classification of ECG Signal Features
no DOI — not checkedA Method to Detect Obstructive Sleep Apnea Using Neural Network Classification of Time-Frequency Plots of the Heart Rate Variability
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 2026-07-25 — 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/itaic.2019.8785833"><img src="https://citestamp.com/citestamped/10.1109/itaic.2019.8785833/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1109/itaic.2019.8785833/badge.svg)](https://citestamp.com/citestamped/10.1109/itaic.2019.8785833)