Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.

<p>Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.</p>

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Bibliographic Details
Main Author: Pauline Guyot (8566470) (author)
Other Authors: Morgane Eveilleau (21376753) (author), Thierry Bastogne (299905) (author), Carole Ayav (3771181) (author), Nicolas Carpentier (21376756) (author), Bruno Chenuel (761485) (author)
Published: 2025
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_version_ 1852020314845741056
author Pauline Guyot (8566470)
author2 Morgane Eveilleau (21376753)
Thierry Bastogne (299905)
Carole Ayav (3771181)
Nicolas Carpentier (21376756)
Bruno Chenuel (761485)
author2_role author
author
author
author
author
author_facet Pauline Guyot (8566470)
Morgane Eveilleau (21376753)
Thierry Bastogne (299905)
Carole Ayav (3771181)
Nicolas Carpentier (21376756)
Bruno Chenuel (761485)
author_role author
dc.creator.none.fl_str_mv Pauline Guyot (8566470)
Morgane Eveilleau (21376753)
Thierry Bastogne (299905)
Carole Ayav (3771181)
Nicolas Carpentier (21376756)
Bruno Chenuel (761485)
dc.date.none.fl_str_mv 2025-05-16T17:29:11Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0318622.t007
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Bias_value_of_TST_between_polysomnography_and_the_ECG-based_detection_algorithm_for_different_classes_of_i_severity_of_AHI_ii_reliability_index_/29088877
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Medicine
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
negative predictive values
home devices enhanced
global adult population
develop new solutions
term electrocardiogram signal
term ecg algorithm
retrospective study aimed
new method based
hour (/ h
80 %, respectively
sleep apnea syndrome
based detection method
new ecg
sleep apnea
ecg signal
proposed method
based algorithms
hypopnea syndrome
sleep clinician
simple ecg
standard interpretation
promising opportunity
performed attended
nocturnal long
mean bias
lab polysomnography
growing interest
gold standard
five exams
detect apneas
blind manner
dc.title.none.fl_str_mv Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p>Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.</p>
eu_rights_str_mv openAccess
id Manara_855c883f93fdbc94d6d06503cc75fe2b
identifier_str_mv 10.1371/journal.pone.0318622.t007
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29088877
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.Pauline Guyot (8566470)Morgane Eveilleau (21376753)Thierry Bastogne (299905)Carole Ayav (3771181)Nicolas Carpentier (21376756)Bruno Chenuel (761485)MedicineSpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiednegative predictive valueshome devices enhancedglobal adult populationdevelop new solutionsterm electrocardiogram signalterm ecg algorithmretrospective study aimednew method basedhour (/ h80 %, respectivelysleep apnea syndromebased detection methodnew ecgsleep apneaecg signalproposed methodbased algorithmshypopnea syndromesleep cliniciansimple ecgstandard interpretationpromising opportunityperformed attendednocturnal longmean biaslab polysomnographygrowing interestgold standardfive examsdetect apneasblind manner<p>Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.</p>2025-05-16T17:29:11ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0318622.t007https://figshare.com/articles/dataset/Bias_value_of_TST_between_polysomnography_and_the_ECG-based_detection_algorithm_for_different_classes_of_i_severity_of_AHI_ii_reliability_index_/29088877CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290888772025-05-16T17:29:11Z
spellingShingle Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
Pauline Guyot (8566470)
Medicine
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
negative predictive values
home devices enhanced
global adult population
develop new solutions
term electrocardiogram signal
term ecg algorithm
retrospective study aimed
new method based
hour (/ h
80 %, respectively
sleep apnea syndrome
based detection method
new ecg
sleep apnea
ecg signal
proposed method
based algorithms
hypopnea syndrome
sleep clinician
simple ecg
standard interpretation
promising opportunity
performed attended
nocturnal long
mean bias
lab polysomnography
growing interest
gold standard
five exams
detect apneas
blind manner
status_str publishedVersion
title Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
title_full Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
title_fullStr Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
title_full_unstemmed Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
title_short Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
title_sort Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index.
topic Medicine
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
negative predictive values
home devices enhanced
global adult population
develop new solutions
term electrocardiogram signal
term ecg algorithm
retrospective study aimed
new method based
hour (/ h
80 %, respectively
sleep apnea syndrome
based detection method
new ecg
sleep apnea
ecg signal
proposed method
based algorithms
hypopnea syndrome
sleep clinician
simple ecg
standard interpretation
promising opportunity
performed attended
nocturnal long
mean bias
lab polysomnography
growing interest
gold standard
five exams
detect apneas
blind manner