Feature Extraction of Capnogram for Asthmatic Patient

Kean, Tan Teik; Howe, Teo Aik; Malarvili, M. B.

doi:10.1109/iccea.2010.286

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…The parameters and their category from the proposed classification were explained as follow: a) Carbon dioxide concentration and time points and coordinates i. EtCO 2 ii. Bohr's PACO 2 (3,13) b) Slopes i. S1 (7) ii. S2 (7) c) Angles i. Alpha Angle (18) d) Volumetric studies i. Expiratory CO 2 tidal volume per breath (VTCO 2 Br) (13,19) e) Functional transformation of wave data i. S2-S1 Slope Ratio (S2-S1SR) (7) ii.…”

Section: Wave Parameters Analysismentioning

confidence: 99%

“…Bohr's PACO 2 (3,13) b) Slopes i. S1 (7) ii. S2 (7) c) Angles i. Alpha Angle (18) d) Volumetric studies i. Expiratory CO 2 tidal volume per breath (VTCO 2 Br) (13,19) e) Functional transformation of wave data i. S2-S1 Slope Ratio (S2-S1SR) (7) ii. Expiratory to Inspiratory Ratio (ETIR) Calculations were coded via functions and equations into MATLAB accordingly.…”

Section: Wave Parameters Analysismentioning

confidence: 99%

“…Expiratory to Inspiratory Ratio (ETIR) Calculations were coded via functions and equations into MATLAB accordingly. The S1 was the gradient slope where the capnogram signal starts at 4 mmHg for 0.25 s on phase II of the capnogram (7,20). Meanwhile, S2 was the gradient slope from 0.75 to 1.25 s (7,21).…”

Section: Wave Parameters Analysismentioning

confidence: 99%

“…The S1 was the gradient slope where the capnogram signal starts at 4 mmHg for 0.25 s on phase II of the capnogram (7,20). Meanwhile, S2 was the gradient slope from 0.75 to 1.25 s (7,21). The S2-S1 Slope Ratio (S2-S1SR) was calculated as follows (7,12,21):…”

Section: Wave Parameters Analysismentioning

confidence: 99%

“…Meanwhile, S2 was the gradient slope from 0.75 to 1.25 s (7,21). The S2-S1 Slope Ratio (S2-S1SR) was calculated as follows (7,12,21):…”

Section: Wave Parameters Analysismentioning

confidence: 99%

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Digitization and Analysis of Capnography Using Image Processing Technique

Vijayam

Supriyanto

Malarvili

2021

Front. Digit. Health

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The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spontaneous respiration, and patency of airways outside of its typical usage in the anesthetic and emergency medicine field. The parameters of the capnograph could be classified as carbon dioxide (CO2) concentration and time points and coordinates, slopes angle, volumetric studies, and functional transformation of wave data. Up to date, there is no gold standard device for the calculation of the capnographic parameters. Capnography digitization using the image processing technique could serve as an option. From the algorithm we developed, eight identical breath waves were tested by four investigators. The values of the parameters chosen showed no significant difference between investigators. Although there were no significant differences between any of the parameters tested, there were a few related parameters that were not calculable. Further testing after refinement of the algorithm could be done. As more capnographic parameters are being derived and rediscovered by clinicians and researchers alike for both lung and non-lung-related diseases, there is a dire need for data analysis and interpretation. Although the proposed algorithm still needs minor refinements and further large-scale testing, we proposed that the digitization of the capnograph via image processing technique could serve as an intellectual option as it is fast, convenient, easy to use, and efficient.

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Section: Wave Parameters Analysismentioning

confidence: 99%

Section: Wave Parameters Analysismentioning

confidence: 99%

Section: Wave Parameters Analysismentioning

confidence: 99%

Section: Wave Parameters Analysismentioning

confidence: 99%

“…Meanwhile, S2 was the gradient slope from 0.75 to 1.25 s (7,21). The S2-S1 Slope Ratio (S2-S1SR) was calculated as follows (7,12,21):…”

Section: Wave Parameters Analysismentioning

confidence: 99%

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Digitization and Analysis of Capnography Using Image Processing Technique

Vijayam

Supriyanto

Malarvili

2021

Front. Digit. Health

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Using the features of the time and volumetric capnogram for classification and prediction

Jaffe¹

2016

J Clin Monit Comput

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Quantitative features derived from the time-based and volumetric capnogram such as respiratory rate, end-tidal PCO, dead space, carbon dioxide production, and qualitative features such as the shape of capnogram are clinical metrics recognized as important for assessing respiratory function. Researchers are increasingly exploring these and other known physiologically relevant quantitative features, as well as new features derived from the time and volumetric capnogram or transformations of these waveforms, for: (a) real-time waveform classification/anomaly detection, (b) classification of a candidate capnogram into one of several disease classes, (c) estimation of the value of an inaccessible or invasively determined physiologic parameter, (d) prediction of the presence or absence of disease condition, (e) guiding the administration of therapy, and (f) prediction of the likely future morbidity or mortality of a patient with a presenting condition. The work to date with respect to these applications will be reviewed, the underlying algorithms and performance highlighted, and opportunities for the future noted.

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Design of Device to Monitor Asthma Severity Using Mainstream Technology while Administering Medication

Rosli

Kumarasamy

Malarvili

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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A CO2 measuring device is proposed based on a mainstream technique which would be able to classify the asthmatic condition while administering the medication to the patients. A SprintIR CO2 sensor is used for extracting CO2 concentration from the patient. In order to provide medication to the patient, a nebulizer is used that was combined together with the CO2 measuring device which is designed by the 3D computer-aided design (CAD) software where the design is printed using 3D printing machine. The device uses a facemask to channel the gases where it measures the types of conditions which are ‘No Asthma’, ‘Mild Asthma’ and ‘Severe Asthma’. The preliminary test results for 9 asthmatic patients and 10 non-asthmatic individuals shows that the device can measure their conditions successfully. Meanwhile, it can also deliver medication to the patients if the condition is ‘Severe Asthma’.

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Feature Extraction of Capnogram for Asthmatic Patient

Cited by 10 publications

References 6 publications

Digitization and Analysis of Capnography Using Image Processing Technique

Digitization and Analysis of Capnography Using Image Processing Technique

Using the features of the time and volumetric capnogram for classification and prediction

Design of Device to Monitor Asthma Severity Using Mainstream Technology while Administering Medication

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