Adaptive excitation signals for low frequency Forced Oscillation Technique measurements in patients
| Autor: | Daniel Schuermans, Gerd Vandersteen, John Lataire, Johan Pattyn, Sylvia Verbanck, Andy Keymolen, Yves Rolain, Cedric Busschots, Hannes Maes, Dries Peumans |
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| Přispěvatelé: | Faculty of Engineering, Electricity, Clinical sciences, Pneumology |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Excitation signal
Respiratory rate Computer science Acoustics 020208 electrical & electronic engineering Work (physics) digestive oral and skin physiology Medical measurement 02 engineering and technology Low frequency Forced Oscillation Technique 0202 electrical engineering electronic engineering information engineering Breathing In patient Electrical and Electronic Engineering forced oscillation technique (FOT) System identification Instrumentation Excitation |
| Popis: | The low-frequency forced oscillation technique (FOT) has a high diagnostic potential for the detection of respiratory diseases. However, it is not yet widely accepted in clinical practice, partly because the natural breathing frequency usually interferes with the measurement, thus requiring patient-unfriendly breathing maneuvers. The presence of a subject’s breathing generally results in patient-unfriendly measurement protocols. These are needed to extract the important low-frequency information about the subject’s respiratory system. This work presents a technique enabling the application of low-frequency FOT during spontaneous breathing. This is accomplished by adding an external visual stimulus to encourage the subject to synchronize his/her breathing to the measurement apparatus, in combination with an excitation signal that is adapted to the subject’s natural breathing frequency. In this way, the contributions of the breathing and the excitation signal can be separated. This article discusses the implementation, testing, and actual measurement results in a clinical setting using this method. |
| Databáze: | OpenAIRE |
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