This work aims to present a new way of observing pulmonary hysteresis data. The representation of pulmonary hysteresis is important for a complete understanding of the breathing process. Thus, data modeling becomes significant in measuring the pressure and volume curves that generate the respiratory hysteresis curves. Therefore, a study is proposed based on the characterization of the phenomenon of pulmonary hysteresis using a model widely accepted in physics as a characterization of the hysteresis of ferromagnetic materials. In this way, we intend to use the Preisach model approach in representative biological signals of volume and pressure to observe the viability of the model in representing pulmonary hysteresis curves and thus make it a possible alternative to corroborate the levels of signals captured from equipment measurement. Therefore, this approach is theoretical and with simulated signs of data representation, with the purpose of demonstrating that the model well represents the characteristics of the curves, with emphasis on the teaching process and can also be extended to the validation of future real data.

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Application of Preisach Model in Pulmonary Hysteresis

  • Borges A. P. Moisés,
  • de Jesus Daniel,
  • dos Santos C. Paulo,
  • Rocha A. A. Wanys,
  • Asano J. Roberto,
  • de Almeida A. L. Luiz

摘要

This work aims to present a new way of observing pulmonary hysteresis data. The representation of pulmonary hysteresis is important for a complete understanding of the breathing process. Thus, data modeling becomes significant in measuring the pressure and volume curves that generate the respiratory hysteresis curves. Therefore, a study is proposed based on the characterization of the phenomenon of pulmonary hysteresis using a model widely accepted in physics as a characterization of the hysteresis of ferromagnetic materials. In this way, we intend to use the Preisach model approach in representative biological signals of volume and pressure to observe the viability of the model in representing pulmonary hysteresis curves and thus make it a possible alternative to corroborate the levels of signals captured from equipment measurement. Therefore, this approach is theoretical and with simulated signs of data representation, with the purpose of demonstrating that the model well represents the characteristics of the curves, with emphasis on the teaching process and can also be extended to the validation of future real data.