Continuously acquired biosignals from patient monitors contain significant amounts of unusable data. During the development of a decision support system based on continuously acquired biosignals, we developed machine and deep learning algorithms to automatically classify the quality of ECG data. A total of 31,127 twenty-s ECG segments of 250 Hz were used as the training/validation dataset. Data quality was categorized into three classes: acceptable, unacceptable, and uncertain. In the training/validation dataset, 29,606 segments (95%) were in the acceptable class. Two one-step, three-class approaches and two two-step binary sequential approaches were developed using random forest (RF) and two-dimensional convolutional neural network (2D CNN) classifiers. Four approaches were tested on 9779 test samples from another hospital. On the test dataset, the two-step 2D CNN approach showed the best overall accuracy (0.85), and the one-step, three-class 2D CNN approach showed the worst overall accuracy (0.54). The most important parameter, precision in the acceptable class, was greater than 0.9 for all approaches, but recall in the acceptable class was better for the two-step approaches: one-step (0.77) vs. two-step RF (0.89) and one-step (0.51) vs. two-step 2D CNN (0.94) ( < 0.001 for both comparisons). For the ECG quality classification, where substantial data imbalance exists, the 2-step approaches showed more robust performance than the one-step approach. This algorithm can be used as a preprocessing step in artificial intelligence research using continuously acquired biosignals.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046279 | PMC |
http://dx.doi.org/10.3390/biomimetics8010119 | DOI Listing |
Inflammopharmacology
December 2024
Department of Pharmacy, Integral University, Lucknow, 226026, India.
Introduction: Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a cataclysmic pandemic. Several SARS-CoV-2 mutations have been found and reported since the COVID-19 pandemic began. After the Alpha, Beta, Gamma, and Delta variants, the Omicron (B.
View Article and Find Full Text PDFPediatr Pulmonol
December 2024
Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Background: E-cigarette, or vaping products produce an aerosol by heating nicotine, or cannabis including tetrahydrocannabinol (THC) and cannabidiol (CBD), mixed with other chemicals that help make the aerosol. They are increasingly popular among teenagers and young adults, with a 2023 survey reporting that 2.13 million middle and high school students in the United States used e-cigarettes within the last 30 days.
View Article and Find Full Text PDFJ Vis Exp
December 2024
School of Biological Science and Medical Engineering, Southeast University; Mathematical Sciences Department, Worcester Polytechnic Institute.
Quantifying the mechanical properties of coronary arterial walls could provide meaningful information for the diagnosis, management, and treatment of coronary artery diseases. Since patient-specific coronary samples are not available for patients requiring continuous monitoring, direct experimental testing of vessel material properties becomes impossible. Current coronary models typically use material parameters from available literature, leading to significant mechanical stress/strain calculation errors.
View Article and Find Full Text PDFACS Omega
December 2024
College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5E5, Canada.
Radiometal chelator conjugation is a cornerstone of radioimmunotherapy (RIT). Continued interest in selective placement of chelators remains an active topic of discussion in the field. With several simple site-specific methods being recently reported, it was of interest to investigate the benefits and potential drawbacks of the site-specific method with a full comparison to a more typical random conjugation method that is currently utilized in clinical applications.
View Article and Find Full Text PDFUnlabelled: Auditory masking-the interference of the encoding and processing of an acoustic stimulus imposed by one or more competing stimuli-is nearly omnipresent in daily life, and presents a critical barrier to many listeners, including people with hearing loss, users of hearing aids and cochlear implants, and people with auditory processing disorders. The perceptual aspects of masking have been actively studied for several decades, and particular emphasis has been placed on masking of speech by other speech sounds. The neural effects of such masking, especially at the subcortical level, have been much less studied, in large part due to the technical limitations of making such measurements.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!