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. The presence of the patient's breathing generally results in patient-unfriendly measurement protocols. These are needed to extract the important low frequency information about the patients' respiratory system.This work presents a novel technique to apply the low frequency FOT during spontaneous breathing. This is accomplished by adding an external visual stimulus to encourage the patient to approximately synchronize his/her breathing in combination with an excitation signal that is adapted to the patient's natural breathing frequency. The breathing and FOT contributions can therefore be separated. This paper contains a proof of concept of this method and proposes measurements on healthy subjects.
Original languageEnglish
Title of host publication2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-7281-5386-5
ISBN (Print)978-1-7281-5387-2
DOIs
Publication statusPublished - 10 Jul 2020
Event2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA): The 15th Edition of IEEE International Symposium on Medical Measurements and Applications - Virtual, Bari, Italy
Duration: 1 Jun 20201 Jul 2020
https://memea2020.ieee-ims.org/

Conference

Conference2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Abbreviated title(MeMeA)
CountryItaly
CityBari
Period1/06/201/07/20
Internet address

    Research areas

  • Medical measurement, system identification, forced oscillation technique

ID: 52765155