New tracheal sound feature for apnoea analysis.
Sleep apnoea syndrome is common in the general population and is currently underdiagnosed. The aim of the present work was to develop a new tracheal sound feature for separation of apnoea events from non-apnoea time. Ten overnight recordings from apnoea patients containing 1,107 visually scored apno...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 4; pp. 405 - 413 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Apr2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105472860&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105472860 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2009 vid: 47 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105472860 NLM19205772 2010218365 10.1007/s11517-009-0446-z NLM19205772 105472860 ppf: 405 ppct: 8 formats: fmt: @attributes: type: P tig: atl: New tracheal sound feature for apnoea analysis. aug: au: Kulkas A Huupponen E Virkkala J Tenhunen M Saastamoinen A Rauhala E Himanen SL Kulkas, A Huupponen, E Virkkala, J Tenhunen, M Saastamoinen, A Rauhala, E Himanen, S-L affil: Department of Clinical Neurophysiology, Medical Imaging Center, Pirkanmaa Hospital District, Tampere, Finland sug: subj: Auscultation Methods Sleep Apnea Syndromes Diagnosis Trachea Physiopathology Adult Male Middle Age Signal Processing, Computer Assisted Sound Spectrography Methods Vibration Adult: 19-44 years Middle Aged: 45-64 years Male ab: Sleep apnoea syndrome is common in the general population and is currently underdiagnosed. The aim of the present work was to develop a new tracheal sound feature for separation of apnoea events from non-apnoea time. Ten overnight recordings from apnoea patients containing 1,107 visually scored apnoea events totalling 7 h in duration and 72 h of non-apnoea time were included in the study. The feature was designed to describe the local spectral content of the sound signal. The median, maximum and mean smoothing of different time scales were compared in the feature extraction. The feature was designed to range from 0 to 1 irrespective of tracheal sound amplitudes. This constant range could offer application of the feature without patient-specific adjustments. The overall separation of feature values during apnoea events from non-apnoea time across all patients was good, reaching 80.8%. Due to the individual differences in tracheal sound signal amplitudes, developing amplitude-independent means for screening apnoea events is beneficial. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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