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Comparing methods of ECG respiration signals derivation based on measuring the amplitude of QRS complexes

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Języki publikacji
EN
Abstrakty
EN
This paper presents the study of algorithms for derivation of respiration waveform from the electrocardiogram. The problem has considerable clinical impact, because the heart rate and respiration are both driven by the central nervous system, and commonly used low-cost Holter recording may be used for efficient detection of breath disturbances (e.g. apnea). Three methods based on: heart rate, heart position and lung resistance influencing the ECG amplitude were compared in our research. Among 18 volunteers breathing at a controlled frequency all implemented algorithms show acceptable sensitivity of order of 97% in slow breathing phases detection. In fast breathing the sensitivity is reduced to 90%, since the heart beats are too sparse with regard of respiration waveform.
Rocznik
Tom
Strony
155--163
Opis fizyczny
Bibliogr. 6 poz., rys., tab.
Bibliografia
  • [1] G DORFMAN FURMAN, Z SHINAR, A BAHARAV, S AKSELROD, Electrocardiogram Derived Respiration during Sleep, Computers in Cardiology 2005; 32: pp. 351-354.
  • [2] C MAIER, H DICKHAUS, P LAGUNA, Amplitude Variability Extraction from Multi-Lead Electrocardiograms for Improvement of Sleep Apnea recognition, Computers in Cardiology 2005; 32: pp.355-358.
  • [3] MC MANTARAS, MO MENDEZ, O VILLIANTIERI, N MONTANO, V PATRUNO, AM BIANCHI, S CERUTTI, Non-parametric Time-Frequency Analysis of Heart Rate Variability during Arousals from Sleep, Computers in Cardiology 2006; 33: pp. 745-748.
  • [4] MOODY G.B., MARK R.G., BUMP M.A., WEINSTEIN J.S., BERMAN A.D., MIETUS J.E., GOLDBERGER A.L., Clinical Validation of the ECG-Derived Respiration (EDR) Technique, Computers in Cardiology 1986; 13: pp.507-510.
  • [5] MOODY G.B., MARK R.G., ZOCCOLA A., MANTERO S., Derivation of Respiratory Signals from Multi-lead ECG, Computers in Cardiology 1985; 12: pp.113-116.
  • [6] TRAVAGLINI A., LAMBERTI C., DE BIE J., Respiratory of Signal Derived from Eight-Lead ECG, Computers in Cardiology 1998; 25: pp. 65-68.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0015
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