e-learning
resources
Stockholm 2002
Monday 16.09.2002
Cardiovascular aspects of sleep apnoea
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
ECG based detection of sleep apnea - a systematic comparison of 12 algorithms
T. Penzel, J. McNames, P. de Chazal, B. Raymond, A. Murray, G. Moody (Marburg, Germany; Portland, Cambridge, United States Of America; Dublin, Ireland; Birmingham, Newcastle upon Tyne, United Kingdom)
Source:
Annual Congress 2002 - Cardiovascular aspects of sleep apnoea
Session:
Cardiovascular aspects of sleep apnoea
Session type:
Thematic Poster Session
Number:
1849
Disease area:
Sleep and breathing disorders
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
T. Penzel, J. McNames, P. de Chazal, B. Raymond, A. Murray, G. Moody (Marburg, Germany; Portland, Cambridge, United States Of America; Dublin, Ireland; Birmingham, Newcastle upon Tyne, United Kingdom). ECG based detection of sleep apnea - a systematic comparison of 12 algorithms. Eur Respir J 2002; 20: Suppl. 38, 1849
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Static lung volumes and spirometry measurements
Panel discussion: The role of pharmacotherapy connected to OSA pathophysiological traits
Expert interview ERS guideline on non-CPAP therapies in obstructive sleep apnoea
Related content which might interest you:
Comparative study between automatic and manual scoring in the diagnosis of sleep apnea by home respiratory polygraphy
Source: Virtual Congress 2021 – From phenotyping to different diagnostic tools for sleep breathing disorders
Year: 2021
Utility of split-night and multiple-split-night study protocols in the evaluation of central sleep apnea patients
Source: Eur Respir J 2006; 28: Suppl. 50, 419s
Year: 2006
The method for diagnosis matters in sleep apnea. A systematic analysis of polygraphy and polysomnography data in the European Sleep Apnea Database (ESADA)
Source: Annual Congress 2012 - Diagnostics in OSA: from polygraphy to genetics and cancer
Year: 2012
Probability of obstructive sleep apnea based on cephalometric analysis. A Bayesian analysis approach
Source: Annual Congress 2008 - Respiratory structure and function
Year: 2008
Should patients with possible obstructive sleep apnoea (OSA) be screened with overnight pulse oximetry or multichannel sleep studies as a first line diagnostic tool?
Source: International Congress 2015 – Measuring sleep-disordered breathing in children and adults II: questionnaires, epidemiology and sleep studies
Year: 2015
A comparison of automated and manual sleep staging and respiratory event recognition in a portable sleep diagnostic device with in-lab sleep study
Source: Virtual Congress 2020 – Screening methods and diagnostic tools for obstructive sleep apnoea
Year: 2020
A clinical prediction formula using anthropometric data and snoring loudness in the evaluation of obstructive sleep apnea
Source: Annual Congress 2010 - Screening for sleep-disordered breathing
Year: 2010
Predicting sleep apnoea syndrome from heart period: a time-frequency wavelet analysis
Source: Eur Respir J 2003 Dec 01;22(6):937-942
Year: 2003
Prediction of sleep apnea severity using a textile-based electrocardiogram monitoring device
Source: International Congress 2019 – Screening tools, prevalence and predictors of obstructive sleep apnoea
Year: 2019
The SleepStripTM: an apnoea screener for the early detection of sleep apnoea syndrome
Source: Eur Respir J 2002; 19: 121-126
Year: 2002
Automatic detection of sleep-disordered breathing from a single-channel airflow record
Source: Eur Respir J 2007; 29: 728-736
Year: 2007
Sleep apnea hypopnea syndrome in stroke patients. A case series evolution. Preliminary results
Source: Annual Congress 2007 - Cardiovascular and respiratory control in obstructive sleep apnoea
Year: 2007
Sleep disordered breathing detected by a new automated ECG analysis in subjects with insomnia
Source: Annual Congress 2011 - Physiology and diagnostic technology in obstructive sleep apnoea
Year: 2011
New method to explore sleep apnea syndrome. Comparison with polysomnography
Source: Annual Congress 2010 - Screening for sleep-disordered breathing
Year: 2010
Predicting the optimal CPAP setting in patients with sleep apnea: validation on 107 split-night polysomnograms
Source: Eur Respir J 2007; 30: Suppl. 51, 471s
Year: 2007
Electroencephalographic spectral analysis: detection of cortical activity changes in sleep apnoea patients
Source: Eur Respir J 2002; 20: 1246-1253
Year: 2002
Comparison of residual apnea-hypopnea index given by positive airway pressure software and polysomnography in patients with sleep apnea syndrome.
Source: International Congress 2019 – Diagnostic issues in obstructive sleep apnoea
Year: 2019
Laboratory evaluation of OSA
Source: Eur Respir Mon 2010; 50: 121-135
Year: 2010
Comparison of a cardiorespiratory device versus polysomnography for diagnosis of sleep apnoea
Source: Eur Respir J 2002; 20: 1505-1510
Year: 2002
Reducing investigation time for the diagnosis of the obstructive sleep apnoea syndrome (OSAS) by combining oximetry with a screening algorithim
Source: Annual Congress 2011 - Obstructive sleep apnoea : physiology, diagnostic tools and technology
Year: 2011
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept