July 21, 2020 article Automatic classification of regular and irregular capnogram segments using time- and frequency-domain features: A machine learning-based approach Technology and Health Care DOI: 10.3233/thc-202198 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 12 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring 2024 Journal of Clinical Monitoring and Computing article Medicine Healthcare Technology and Patient Monitoring Open access 10 citations A Machine Learning Algorithm for Detecting Abnormal Patterns in Continuous Capnography and Pulse Oximetry Monitoring 2023 Research Square preprint Medicine Healthcare Technology and Patient Monitoring Open access 0 citations 2 results References 0