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Heart Rate Variability to Automatically Identify Hyperbaric States Considering Respiratory Component.

, , , , , and . Sensors, 24 (2): 447 (January 2024)

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Reducing Training Sets by NCN-based Exploratory Procedures., , and . IbPRIA, volume 2652 of Lecture Notes in Computer Science, page 453-461. Springer, (2003)Autonomic Nervous System Response During Scuba Diving Activity., , , , , , and . CinC, page 1-4. IEEE, (2020)Enhancing Safety in Hyperbaric Environments through Analysis of Autonomic Nervous System Responses: A Comparison of Dry and Humid Conditions., , , , , , , and . Sensors, 23 (11): 5289 (2023)Using the Geometrical Distribution of Prototypes for Training Set Condensing., , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 618-627. Springer, (2003)Finger and forehead PPG signal comparison for respiratory rate estimation based on pulse amplitude variability., , , , , and . EUSIPCO, page 2076-2080. IEEE, (2017)Safety Ranges for Heart Rate Variability Parameters in Hyperbaric Environments., , , , , and . CinC, page 1-4. IEEE, (2020)Heart Rate Variability to Automatically Identify Hyperbaric States Considering Respiratory Component., , , , , and . Sensors, 24 (2): 447 (January 2024)Photoplethysmographic Waveform and Pulse Rate Variability Analysis in Hyperbaric Environments., , , , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1550-1560 (2021)Autonomic Nervous System Measurement in Hyperbaric Environments Using ECG and PPG Signals., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 23 (1): 132-142 (2019)Arquitectura Básica para Controladores de Lógica Difusa a Programarse en FPGAs., , and . Polibits, (2004)