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DOI 10.1109/embc40787.2023.10340144

Медицинская библиотека · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023

Respiratory Pattern Analysis for Different Breathing Types and Recording Sensors in Healthy Subjects.

Sola-Soler Jordi, Perez Daniel Romero, Balchin Leon, Serra Arantxa Mas, Torne Manel Lujan, Koborzan Melinda R Popoviciu, Giraldo Beatriz F Giraldo

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Accurate monitoring of respiratory activity can lead to early identification and treatment of possible respiratory failure. However, spontaneous breathing can vary considerably. To quantify this variability, this study aimed at comparing the breathing pattern characteristics obtained from several recording sensors during different breathing types. Respiratory activity was recorded with a pneumotachograph and two inductive plethysmographic bands, thoracic and abdominal, in 23 healthy volunteers (age 21.5±1.2 years, 13 females). The subjects were asked to breathe at their natural rate, in successive stages: first freely, then through their nose, nose and mouth, mouth alone, and finally deep and shallow. Both band signals were compared to the pneumotach-derived (gold standard) volume signal. The time series of inspiratory and expiratory duration, total cycle duration and tidal volume were estimated from each of these signals, and also from the sum of the thoracic and abdominal bands. This composite signal showed the highest correlation with the volume signal for almost all subjects, and also had a significantly higher correlation with those obtained from the gold standard volume, compared to either band. In general, breathing parameters increased from basal to nose-mouth breathing, had a minimum in shallow breathing and a maximum in deep breathing. Women exhibited a significantly longer exhalation phase than men during deep breathing, in the combined bands and the gold standard volume. In conclusion, variations in respiratory cycle morphology in different breathing types can be well captured by the simple addition of abdominal and thoracic band signals.Clinical Relevance- Breathing pattern variability can be identified by the combination of abdominal and thoracic bands.

Для цитирования: Sola-Soler Jordi, Perez Daniel Romero, Balchin Leon, Serra Arantxa Mas, Torne Manel Lujan, Koborzan Melinda R Popoviciu, Giraldo Beatriz F Giraldo. Respiratory Pattern Analysis for Different Breathing Types and Recording Sensors in Healthy Subjects.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2023. DOI: 10.1109/embc40787.2023.10340144.

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