Estimation of the respiratory activity from orthogonal ECG leads

In the present work a method is proposed for the estimation of the respiratory signal from the three ECG orthogonal leads. The vectorcardiogram loop was evaluated in correspondence of each QRS complex (in a time window of 120 ms centred around the R wave). The centre of gravity and the inertial axes of each loop were calculated. A set of 12 parameters (3 spatial coordinates of the centre of gravity and 3 directions of the 3 inertial axes) was obtained for each cardiac beat. The first principal component of such a set of data was the estimation of the respiratory activity. The obtained signal was compared with the quantitative respiration recording and the cross-correlation index C was a measure of the goodness of the estimation. The mean value of C was 0.9 /spl plusmn/ 0.26, indicating a good matching between the recorded and the estimated signals.

[1]  F Pinciroli,et al.  Virtual leads for the ambulatory ECG monitoring: remarks on the persistency of their direction. , 1985, Computers and biomedical research, an international journal.

[2]  L Sörnmo,et al.  Estimation of the respiratory frequency using spatial information in the VCG. , 2003, Medical engineering & physics.

[3]  Massimo Ferri,et al.  Respiratory signal derived from eight-lead ECG , 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).

[4]  L. Sornmo Vectorcardiographic loop alignment and morphologic beat-to-beat variability , 1998, IEEE Transactions on Biomedical Engineering.

[5]  Conor Heneghan,et al.  Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea , 2003, IEEE Transactions on Biomedical Engineering.

[6]  F Pinciroli,et al.  Remarks and experiments on the construction of respiratory waveforms from electrocardiographic tracings. , 1986, Computers and biomedical research, an international journal.

[7]  K. Clark,et al.  Association of Sleep-Disordered Breathing, Sleep Apnea, and Hypertension in a Large Community- Based Study , 2000 .

[8]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.