Amplitude variability extraction from multi-lead electrocardiograms for improvement of sleep apnea recognition

Computers in Cardiology

Volumn 32, Issue , 2005, Pages 355-358

  Maier, C ^a   Dickhaus, H ^a,b   Laguna, P ^c  

^a HEILBRONN UNIVERSITY   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; PATIENT MONITORING; PRINCIPAL COMPONENT ANALYSIS; SLEEP RESEARCH;

HEART RHYTHM; MULTI LEAD INFORMATION; PHYSIONET APNEA ECG DATABASE; POLYSOMOGRAPHY (PSG);

ELECTROCARDIOGRAPHY;

EID: 33847133086     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2005.1588110     Document Type: Conference Paper

References (5)

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2. Guilleminault C, Tilkian A, Dement WC. Cyclical variation of the heart rate in sleep apnoea syndrome. Mechanisms and usefulness of 24hr electrocardiography as a screening technique. Lancet 1984:126-31.
3. Moody GB, Mark RG, Zoccola A, Mantero S. Derivation of respiratory signals from multi-lead ECGs. In Proc. Computers in Cardiology 1985. Washington DC: IEEE Computer Society Press, 1985:113-6.
4. Maier C, Dickhaus H, Bauch M, Penzel T. Comparison of heart rhythm and morphological ECG features in recognition of sleep apnea from the ECG. In: Proc, Computers in Cardiology 2003. Piscataway: IEEE Press, 2003:311-4.
5. Weng J, Zhang Y, Hwang WS. Candid covariance free incremental principal component analysis. IEEE Trans. PAMI 2003;25(8):1034-40.