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Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform

Journal of Innovative Optical Health Sciences 2021年第6期4卷 42-54页

作者： Om Prakash Singh Ismail M.El-Badawy M.B.Malarvili Bio-signal Processing Research Group(BSPRG)School of Biosciences and Medical Engineering Universiti Teknologi Malaysia(UTM) 81310 SkudaiJohorMalaysia Electronics and Communication Engineering Department Arab Academy for Science and Technology CairoEgypt School of Electrical Engineering Universiti Teknologi Malaysia(UTM)81310 SkudaiJohorMalaysia Bio-Signal Processing Research Group(BSPRG)School of Biosciences and Medical Engineering Universiti Teknologi Malaysia(UTM) 81310 SkudaiJohorMalaysia

The design of a handheld capnography device is in great demand because of its effective and practical uses in all cardiac arrest resuscitations,according to the recommendation of the American Heart Association.Herein,a handheld capnography device that can be used in clinical settings and the home environment is reported.The proposed device was developed by using an infrared CO_(2)sensor,Arduino Mega2560,and a high-resolution display(2.8").Furthermore,two rechargeable batteries(7.6 V,0.99 A)and a secure digital card with a capacity of 16 GB were incorporated to increase the portability and usability of the device.Algorithms were implemented to measure standard features,namely,inspired CO_(2)(ICO_(2)),end-tidal CO_(2)(EtCO_(2)),and re-spiratory rate(RR).The features of 15 healthy subjects were recorded by using the developed prototype and the standard capnography device(Capnostream^(TM)20 Model CS08798).Validation was performed with Bland-Altman plots.Findings revealed that mean differences±standard deviations for the set limits of ICO_(2),EtCO_(2)and RR were 0.29±1.30 millimeters of mercury(mmHg),0.15±1.77 mmHg and 0.40±0.97 breaths per minute(bpm),respectively.Most of the differences among device measurements across all features fell within the 95%limits of agreement.Thus,the developed device may help manage respiratory distress conditions in and outside of a hospital setting.

关键词： Arduino board capnogram carbon dioxide sensor cardiorespiratory monitoring system

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