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Regular and non regular snore features as markers of SAHS
Gil de Mesquita, Joana Margarida; Fiz Fernández, José Antonio; Solà Soler, Jordi; Morera Prat, Josep Maria; Jané Campos, Raimon
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
Sleep Apnea-Hypopnea Syndrome (SAHS) diagnosis is still done with an overnight multi-channel polysomnography. Several efforts are being made to study profoundly the snore mechanism and discover how it can provide an opportunity to diagnose the disease. This work introduces the concept of regular snores, defined as the ones produced in consecutive respiratory cycles, since they are produced in a regular way, without interruptions. We applied 2 thresholds (THadaptive and THmedian) to the time interval between successive snores of 34 subjects in order to select regular snores from the whole all-night snore sequence. Afterwards, we studied the effectiveness that parameters, such as time interval between successive snores and the mean intensity of snores, have on distinguishing between different levels of SAHS severity (AHI (Apnea-Hypopnea Index)<5h-1, AHI<10 h-1, AHI<15h-1, AHI<30h-1). Results showed that THadaptive outperformed THmedian on selecting regular snores. Moreover, the outcome achieved with non-regular snores intensity features suggests that these carry key information on SAHS severity.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Medical signal processing
Pneumodynamics
Sleep apnea syndromes -- Diagnosis -- Equipment and supplies
Respiració -- Mesurament
Apnea
Processament digital -- Biomedicina
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