Automatic CPAP-titration based on forced oscillation technique, flow and snore signals in the obstructive sleep apnea syndrome Source: Eur Respir J 2006; 28: Suppl. 50, 411s Year: 2006
Use of high frequency peak in spectral analysis of heart rate increment to improve screening of obstructive sleep apnoea syndrome Source: Annual Congress 2008 - Cardiovascular complications in obstructive sleep apnoea Year: 2008
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
Usefulness of cardiac interval increment or of pulse transit time for obstructive sleep apnea hypopnea syndrome screening. The SYNAPSE study Source: Annual Congress 2008 - Diagnostic aspects of sleep apnoea Year: 2008
Comparison of a non-contact sensor with polysomnography in the assessment of obstructive sleep apnoea Source: Annual Congress 2008 - Diagnostic aspects of sleep apnoea Year: 2008
Morphological ECG changes detected by 12-channel in patients with obstructive sleep apnea Source: Eur Respir J 2006; 28: Suppl. 50, 815s Year: 2006
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
Validation of a new polygraphy device for the diagnosis of obstructive sleep apnoea (OSA) Source: Annual Congress 2011 - Physiology and diagnostic technology in obstructive sleep apnoea Year: 2011
Acoustic pharyngometry patterns in obstructive sleep apnea Source: Eur Respir J 2006; 28: Suppl. 50, 194s Year: 2006
Automatic discrimination between obstructive and central sleep apnea using pulse oximetry 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
Accuracy of a single channel nasal pressure recording device for repeated ambulatory use in suspected sleep apnea Source: Eur Respir J 2005; 26: Suppl. 49, 116s Year: 2005
Analysis of the interbeat interval increment to detect obstructive sleep apnoea/hypopnoea Source: Eur Respir J 2007; 29: 1206-1211 Year: 2007
Spectral analysis and detrended fluctuation analysis on heart rate variability recognises sleep stages and sleep apnea Source: Eur Respir J 2003; 22: Suppl. 45, 272s Year: 2003
Automatic detection of sleep-disordered breathing from a single-channel airflow record Source: Eur Respir J 2007; 29: 728-736 Year: 2007
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
Prediction of apnea-hypopnea index in patients with obstructive sleep apnea syndrome using a regression model based on nonlinear analysis of respiratory signals Source: Annual Congress 2009 - Diagnostic aspects in obstructive sleep apnoea Year: 2009
Validation of automated sleep stages and apnoea analysis in suspected obstructive sleep apnoea syndrome Source: Eur Respir J 2004; 24: Suppl. 48, 571s Year: 2004
Electroencephalographic spectral analysis: detection of cortical activity changes in sleep apnoea patients Source: Eur Respir J 2002; 20: 1246-1253 Year: 2002
AutoCPAP devices accurately identify obstructive sleep apnea patients with residual apnea during treatment Source: Annual Congress 2011 - Obstructive sleep apnoea : physiology, diagnostic tools and technology Year: 2011