Abstract
Objective. To develop an algorithm that corrects pulmonary artery pressure signals of ventilated patients for the respiration artifact. The algorithm should test the validity of the pulmonary pressure signal and differentiate between the cyclic respiration artifact and true measurement artifacts.Methods. The shape of each pulmonary pressure beat is described by eight characteristic features, including mean pressure value and the systolic and diastolic timing and pressure values. The features are corrected for the respiration artifact by fitting them in a least-squares sense on the first and second harmonica of the ventilator frequency. The corrected features are used by a signal validation algorithm, which adds a validity flag to each pressure beat. The validation algorithm rejects pressure beats with sudden changes in their shape but adapts itself when the changes persist.Results. The performance of the correction and validation technique was evaluated using pulmonary artery pressure signals of 30 patients who were scheduled for open heart surgery. The algorithm correctly recognized as invalid data those pressure signals disturbed by coagulation, surgical manipulations, or flushes of the pressure line. The algorithm marked on average 77 ± 11 % of the pulmonary pressure beats as valid.Conclusions. The validation algorithm marked sufficient pressure beats as valid to update a trend display every 5 sec. The correction algorithm enabled the validation algorithm to differentiate between true measurement artifacts and the respiration artifact.
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O'Hara DA, Bogen DK, Noordergraaf A. The use of computers for controlling the delivery of anesthesia. Anesthesiology 1992; 77: 563–581
Linkens DA, Hacisalihzade SS. Computer control systems and pharmacological drug administration: A survey. J Med Eng Tech 1990; 14: 41–54
Colvin JR, Kenny GNC. Automatic control of arterial pressure after cardiac surgery, evaluation of a microcomputer-based control system using glyceryl trinitrate and sodium nitroprusside. Anaesthesia 1989; 44: 37–41
Martin JF, Smith T, Quinn ML, Schneider AM. Supervisory adaptive control of arterial pressure during cardiac surgery. IEEE Trans Biomed Eng 1992; 39: 389–393
Chitwood WR, Cosgrove DM III, Lust RM, the Titrator Multicenter Study Group. Multicenter trial of automated nitroprusside infusion for postoperative hypertension. Ann Thorac Surg 1992; 54: 517–522
Foëx P. The mechanical effects of raised airway pressure. In: Prys-Roberts C, ed. The circulation in anaesthesia. Oxford: Blackwell Scientific Publications, 1980: 281–294
Papoulis A. Probability, random variables, and stochastic processes. Singapore: McGraw-Hill, 1991: 603–612
Ljung L, Söderström T. Theory and practice of recursive identification. The Massachusetts Institute of Technology: MIT Press,1983
Hewlett Packard. An algorithm for the reduction of the respiration artifact in pulmonary artery pressure measurements, 1989, Application note: 5953–7352
Ellis DM. Interpretation of beat-to-beat blood pressure values in the presence of ventilatory changes. J Clin Monit 1985; 1: 65–70
Odaka T, Agata H, Furutani H, Ogura H. A general purpose neural network simulator system for medical data processing. J Med Sys 1994; 18: 305–314
Pike T, Mustard A. Automated recognition of corrupted arterial waveforms using neural network techniques. Comput Biol Med 1992; 22: 173–179
Ocasio WC, Rigney DR, Clark KP, Mark RG. bpshape-wk4: a computer program that implements a physiological model for analyzing the shape of blood pressure waveforms. Comput Method Prog Biomed 1993; 39: 169–194
Kuo TBJ, Chan SHH. Continuous, on-line, real-time spectral analysis of systemic arterial pressure signals. Am J Physiol 1993; 264: H2208-H2213
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Hocksel, S.A.A.P., Blom, J.A., Jansen, J.R.C. et al. Correction for respiration artifact in pulmonary blood pressure signals of ventilated patients. J Clin Monitor Comput 12, 397–403 (1996). https://doi.org/10.1007/BF02077637
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DOI: https://doi.org/10.1007/BF02077637