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How do age and gender affect the respiratory pattern in healthy subjects?

文献类型： 会议论文

第一作者： Beatriz F. Giraldo Giraldo

作者： Beatriz F. Giraldo Giraldo 1 ; Ravneet Rahul Sandhu Singh 2 ; Leon Balchin 3 ; Daniel Romero Pérez 1 ; Arantxa Mas Serra 4 ; Manel Lujan Torné 5 ; Melinda R. Popoviciu Koborzan 6 ; Montserrat Martin–Baranera 7 ; Jordi Solà–Soler 1 ;

作者机构： 1.Automatic Control Dept. (ESAII), Polytechnic University of Catalonia – Barcelona Tech (UPC), Barcelona, Spain|Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain|CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain

2.Automatic Control Dept. (ESAII), Polytechnic University of Catalonia – Barcelona Tech (UPC), Barcelona, Spain

3.Automatic Control Dept. (ESAII), Polytechnic University of Catalonia – Barcelona Tech (UPC), Barcelona, Spain|Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain

4.Intensive Care Service, Santa Creu i Sant Pau Hospital, Barcelona, Spain

5.Pneumology Service, Parc Taulí Universitary Hospital, Autonomous Univ. of Barcelona, Sabadell, Spain

6.Intensive Care Service, Moisès Broggi Hospital, Barcelona, Spain

7.Consorci Sanitari Integral, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain

关键词： Correlation;Databases;Nose;Mouth;Timing;Respiratory system;Engineering in medicine and biology;Monitoring;Diseases

会议名称： [ "Annual International Conference of The IEEE Engineering in Medicine and Biology Society" , "Annual International Conference of the IEEE Engineering in Medicine and Biology Society"]

主办单位：

页码： 1-4

摘要： Respiratory system monitoring can help in the early detection of diseases and potential treatment, but its response can be influenced by many factors. In this study, we analyzed the respiratory pattern variability, examining the potential influence of age and gender. Using a pneumotachograph and two inductive plethysmographic bands, a younger (G1, 23 subjects, 21 ± 1 years) and adult (G2, 49 subjects, 52 ± 6 years) datasets were studied. Participants breathed naturally, considering the following stages: spontaneous, nasal, nose and mouth, mouth-only breathing, shallow, and deep breaths. Several parameters were extracted to characterize the respiratory pattern. The sum of bands showed the highest correlation with the volume signal within both groups and also had a significantly higher correlation for all parameters with those obtained from the gold standard volume, compared to either band. Gender differences were more pronounced in adults, particularly during spontaneous breathing, while age-related differences were observed mainly in the expiratory phase. The passive nature of the expiratory phase could be a significant variability factor due to age effects.

分类号： q81-53

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