Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks.
| Publicado en: | Journal of Medical Systems Vol. 34; no. 6; pp. 1111 - 1120 |
|---|---|
| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2010
|
| 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=117143599&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117143599 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2010 vid: 34 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117143599 117143599 117143599 10.1007/s10916-009-9330-5 117143599 ppf: 1111 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks. aug: au: Tagluk, M. Sezgin, Necmettin affil: Department of Electrical and Electronics Engineering, University of Inonu, Malatya Turkey sug: subj: Sleep Apnea Syndromes Diagnosis Neural Networks (Computer) Human Male Female Sleep Apnea Syndromes Classification Diagnosis, Differential Polysomnography Adult Middle Age Circadian Rhythm Algorithms Adult: 19-44 years Middle Aged: 45-64 years Male Female pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|