A. Bodini, M. Serpelloni, E. Sardini, N. Latronico, M. Tommasi, Matteo Filippini
{"title":"Low-power wireless system for temperature and humidity monitoring in artificial ventilation","authors":"A. Bodini, M. Serpelloni, E. Sardini, N. Latronico, M. Tommasi, Matteo Filippini","doi":"10.1109/MEMEA.2016.7533801","DOIUrl":null,"url":null,"abstract":"Artificial ventilators are commonly used with Passive Heat-Moisture Exchangers (HME) to warm and humidify the inspired air in order to ensure a proper conditioning of inspired gases to the artificially ventilated patients. However, different aspects potentially affect their performances and this change in performance should be analyzed in-vivo during HME operation. In this paper, a wireless measurement system is proposed for the monitoring of air temperature and humidity in-vivo. The system is composed by a measuring device connected to the ventilating tube near the HME and a reading device connected to a Personal Computer (PC). Each device integrates a wireless transmission via low-power Bluetooth module that allows limiting power consumption. For the measuring device, the calculated power consumption when all the on-board components are working is about 15 mA, permitting a continuous monitoring for about 5 days and 16 hours with a rechargeable Li-Ion battery of 2050 mAh. A first prototype was manufactured and tested in the laboratory. Then, this prototype was tested with a setup specially developed to simulate human breath. The tests were conduced changing the respiratory rate and minute volume. Preliminary results are reported showing interesting aspects, such as the warm-up time of the HME. Furthermore, the results shows a direct dependence of humidity loss on frequency-volume ratio requiring future investigations. Clinicians are expected to use this system in-vivo to identify the correlations between clinical issues and HME performances.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMEA.2016.7533801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Artificial ventilators are commonly used with Passive Heat-Moisture Exchangers (HME) to warm and humidify the inspired air in order to ensure a proper conditioning of inspired gases to the artificially ventilated patients. However, different aspects potentially affect their performances and this change in performance should be analyzed in-vivo during HME operation. In this paper, a wireless measurement system is proposed for the monitoring of air temperature and humidity in-vivo. The system is composed by a measuring device connected to the ventilating tube near the HME and a reading device connected to a Personal Computer (PC). Each device integrates a wireless transmission via low-power Bluetooth module that allows limiting power consumption. For the measuring device, the calculated power consumption when all the on-board components are working is about 15 mA, permitting a continuous monitoring for about 5 days and 16 hours with a rechargeable Li-Ion battery of 2050 mAh. A first prototype was manufactured and tested in the laboratory. Then, this prototype was tested with a setup specially developed to simulate human breath. The tests were conduced changing the respiratory rate and minute volume. Preliminary results are reported showing interesting aspects, such as the warm-up time of the HME. Furthermore, the results shows a direct dependence of humidity loss on frequency-volume ratio requiring future investigations. Clinicians are expected to use this system in-vivo to identify the correlations between clinical issues and HME performances.