메뉴 건너뛰기




Volumn 49, Issue 9, 2002, Pages 936-942

A novel method for the detection of apnea and hypopnea events in respiration signals

Author keywords

Classification; Neural networks; Polysomnography; Respiration monitoring; Sleep apnea

Indexed keywords

NEONATAL MONITORING; NEURAL NETWORKS; RESPIRATORY SYSTEM;

EID: 0036721383     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2002.802009     Document Type: Article
Times cited : (180)

References (20)
  • 5
    • 0030924534 scopus 로고    scopus 로고
    • Practice parameters for the indications for polysomnography and related procedures
    • (1997) Sleep , vol.20 , pp. 406-422
  • 10
    • 0030497894 scopus 로고    scopus 로고
    • New approaches to monitoring sleep-related breathing disorders
    • (1996) Sleep , vol.18 , Issue.3 , pp. 77-84
    • Stradling, J.R.1
  • 11
    • 0031435725 scopus 로고    scopus 로고
    • Automated detection and classification of sleep-disordered breathing from conventional polysomnography data
    • (1997) Sleep , vol.20 , Issue.11 , pp. 991-1001
    • Taha, B.H.1
  • 13
    • 0032983040 scopus 로고    scopus 로고
    • Inductive plethysmography components analysis and improved noninvasive postoperative apnoea monitoring
    • (1999) Physiol. Meas. , vol.20 , Issue.2 , pp. 175-186
    • Millard, R.K.1
  • 16
    • 14844283547 scopus 로고    scopus 로고
    • Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals
    • (2000) Circulation , vol.101 , Issue.23 , pp. 215-220
    • Goldberger, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.