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Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals.

, , , , and . EMBC, page 3400-3403. IEEE, (2012)

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Assessment of respiratory flow cycle morphology in patients with chronic heart failure., , , , , , and . Med. Biol. Engineering and Computing, 55 (2): 245-255 (2017)Electromyography-Based Respiratory Onset Detection in COPD Patients on Non-Invasive Mechanical Ventilation., , , , , , , and . Entropy, 21 (3): 258 (2019)Performance Evaluation of Fixed Sample Entropy in Myographic Signals for Inspiratory Muscle Activity Estimation., , and . Entropy, 21 (2): 183 (2019)Evaluation of indirect measures of neural inspiratory time from invasive and noninvasive recordings of respiratory activity., , , , and . EMBC, page 341-344. IEEE, (2017)Analysis of the respiratory flow cycle morphology in chronic heart failure patients applying principal components analysis., , , and . EMBC, page 1725-1728. IEEE, (2011)EMG-derived respiration signal using the fixed sample entropy during an Inspiratory load protocol., , , and . EMBC, page 1703-1706. IEEE, (2015)Estimation of bilateral asynchrony between diaphragm mechanomyographic signals in patients with Chronic Obstructive Pulmonary Disease., , , , , , and . EMBC, page 3813-3816. IEEE, (2014)Eigenvalue-based time delay estimation of repetitive biomedical signals., , , , , and . Digital Signal Processing, (2018)Entropy Analysis of Acoustic Signals Recorded With a Smartphone for Detecting Apneas and Hypopneas: A Comparison With a Commercial System for Home Sleep Apnea Diagnosis., , , and . IEEE Access, (2019)Truncated orthogonal expansions of recurrent signals: equivalence to a periodic time-variant filter., , , and . ICASSP, page 1709-1712. IEEE, (1998)