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EMG-derived respiration signal using the fixed sample entropy during an Inspiratory load protocol.

, , , and . EMBC, page 1703-1706. IEEE, (2015)

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Evaluation of indirect measures of neural inspiratory time from invasive and noninvasive recordings of respiratory activity., , , , and . EMBC, page 341-344. IEEE, (2017)Estimation of bilateral asynchrony between diaphragm mechanomyographic signals in patients with Chronic Obstructive Pulmonary Disease., , , , , , and . EMBC, page 3813-3816. IEEE, (2014)EMG-derived respiration signal using the fixed sample entropy during an Inspiratory load protocol., , , and . EMBC, page 1703-1706. IEEE, (2015)Performance Evaluation of Fixed Sample Entropy in Myographic Signals for Inspiratory Muscle Activity Estimation., , and . Entropy, 21 (2): 183 (2019)Electromyography-Based Respiratory Onset Detection in COPD Patients on Non-Invasive Mechanical Ventilation., , , , , , , and . Entropy, 21 (3): 258 (2019)Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms., , , , , , , , , and . CoRR, (2024)Neural Offset Time Evaluation in Surface Respiratory Signals during Controlled Respiration., , , , and . EMBC, page 2344-2347. IEEE, (2019)Evaluation of a Wearable Device to Determine Cardiorespiratory Parameters From Surface Diaphragm Electromyography., , , , , and . IEEE J. Biomed. Health Informatics, 23 (5): 1964-1971 (2019)Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample Entropy., , , and . IEEE J. Biomed. Health Informatics, 20 (2): 476-485 (2016)Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals., , , , and . EMBC, page 3204-3207. IEEE, (2014)