Study and analysis of snoring for the detection of apnea.
Budget: €250 – €750 EUR
The main objective of this project is the characterization and classification, according to severity, of apnea episodes through the study of the sound of snoring associated with breathing during sleep.
From a database with properly labeled snoring recordings, we will try to identify, by studying different parameters of these signals, the characteristics that allow us to recognize apneas in their different degrees (partial and total).
If necessary, noise reduction techniques will be applied to improve the quality of the reference signals.
Attached 4 files that serve as a reference for this project:
-OSAS assessment with entropy analysis of high resolution snoring audio signals.
-Characterization of upper airway obstructions using wide-band snoring sounds.
-A new feature with the potential to detect the severity of obstructive sleep apnoea via snoring
sound analysis.
-Snore sound analysis can detect the presence of obstructive sleep apnea specific to NREM or REM sleep.
For the development of this tool, the MATLAB environment will be used.
From a database with properly labeled snoring recordings, we will try to identify, by studying different parameters of these signals, the characteristics that allow us to recognize apneas in their different degrees (partial and total).
If necessary, noise reduction techniques will be applied to improve the quality of the reference signals.
Attached 4 files that serve as a reference for this project:
-OSAS assessment with entropy analysis of high resolution snoring audio signals.
-Characterization of upper airway obstructions using wide-band snoring sounds.
-A new feature with the potential to detect the severity of obstructive sleep apnoea via snoring
sound analysis.
-Snore sound analysis can detect the presence of obstructive sleep apnea specific to NREM or REM sleep.
For the development of this tool, the MATLAB environment will be used.