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1 Journal of Medical Informatics & Technologies

1 2007

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

Kikta A., Augustyniak P.

Journal of Medical Informatics & Technologies

2007

Vol. 11

155--163

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.