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Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.

, , , , and . Int. J. Neural Syst., 29 (2): 1850038:1-1850038:17 (2019)

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Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation., , and . Comput. Methods Programs Biomed., 119 (2): 110-119 (2015)Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings., , , , and . Int. J. Neural Syst., 29 (2): 1850038:1-1850038:17 (2019)ECG Quality Assessment via Deep Learning and Data Augmentation., , , and . CinC, page 1-4. IEEE, (2021)Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity., , , and . AmIHEALTH, volume 9456 of Lecture Notes in Computer Science, page 213-223. Springer, (2015)Monitoring Electrodermal Activity for Stress Recognition Using a Wearable., , , and . Intelligent Environments (Workshops), volume 21 of Ambient Intelligence and Smart Environments, page 416-425. IOS Press, (2016)Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings., , , and . Neural Comput. Appl., 33 (15): 9343-9352 (2021)Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings., , and . Comput. Methods Programs Biomed., 109 (3): 283-292 (2013)Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge., , , , and . CinC, page 1-4. IEEE, (2020)Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings., , , , , and . CinC, page 1-4. IEEE, (2020)The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction., , and . CinC, page 493-496. www.cinc.org, (2015)