On analyzing capnogram as a novel method for screening covid-19: A review on assessment methods for covid-19
MB Malarvili, M Alexie, N Dahari, A Kamarudin - Life, 2021 - mdpi.com
In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city,
China, and was reported in other countries around the globe. COVID-19 is caused by severe …
China, and was reported in other countries around the globe. COVID-19 is caused by severe …
Study on ppg biometric recognition based on multifeature extraction and naive bayes classifier
J Yang, Y Huang, R Zhang, F Huang… - Scientific …, 2021 - Wiley Online Library
Nowadays, the method of simple‐feature extraction has been extensively studied and is
used in PPG biometric recognition; some promising results have been reported. However …
used in PPG biometric recognition; some promising results have been reported. However …
An accurate automated schizophrenia detection using TQWT and statistical moment based feature extraction
M Baygin - Biomedical Signal Processing and Control, 2021 - Elsevier
Nowadays, abnormal brain activities can be automatically detected and classified by
processing EEG signals. In this paper, the classification process of EEG signals collected …
processing EEG signals. In this paper, the classification process of EEG signals collected …
An effective machine learning approach for classifying artefact-free and distorted capnogram segments using simple time-domain features
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study
A Conway, M Goudarzi Rad, W Zhou, M Parotto… - Journal of Clinical …, 2023 - Springer
Capnography monitors trigger high priority 'no breath'alarms when CO2 measurements do
not exceed a given threshold over a specified time-period. False alarms occur when the …
not exceed a given threshold over a specified time-period. False alarms occur when the …
A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring
FL Spijkerboer, FJ Overdyk, A Dahan - Journal of Clinical Monitoring and …, 2024 - Springer
Continuous capnography monitors patient ventilation but can be susceptible to artifact,
resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection …
resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection …
Cooperative classification of clean and deformed capnogram segments using a voting approach: A trade-off between specificity and sensitivity
Automatic discrimination of clean and deformed segments of capnogram signals is an
essential requisite in capnogram-based respiratory assessment. However, improving the …
essential requisite in capnogram-based respiratory assessment. However, improving the …
Capnography derived breath variability analysis feasibility and its importance for pulmonary embolism prediction
Capnography is a method that monitors the concentration of Carbon Dioxide (CO2) in
patients' respiratory gases. Its outcome, ie, the capnographic curve shows CO2 levels …
patients' respiratory gases. Its outcome, ie, the capnographic curve shows CO2 levels …
Investigation on Properties of Capnogram: On Stationarity and Spectral Components of the Signal
M Alexie, M Malarvili - 2021 IEEE National Biomedical …, 2021 - ieeexplore.ieee.org
Capnography provides a graphical representation of the CO _2 concentration in the exhaled
gases. There are different methods that are used to extract time domain features of …
gases. There are different methods that are used to extract time domain features of …
[PDF][PDF] An Effective Machine Learning Approach for Classifying Artefact-Free and Distorted Capnogram Segments Using Simple Time-Domain
OMP SINGH - academia.edu
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …