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Inspiratory muscle activation increases with COPD severity as confirmed by non-invasive mechanomyographic analysisRespiratory signal derived from the smartphone built-in accelerometer during a Respiratory Load Protocol.Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance values.Index for estimation of muscle force from mechanomyography based on the Lempel-Ziv algorithm.Evaluation of the respiratory muscles efficiency during an incremental flow respiratory test.Cardiac interference reduction in diaphragmatic MMG signals during a Maintained Inspiratory Pressure Test.Multistate Lempel-Ziv (MLZ) index interpretation as a measure of amplitude and complexity changes.Evaluation of indirect measures of neural inspiratory time from invasive and noninvasive recordings of respiratory activity.Evaluating respiratory muscle activity using a wireless sensor platform.Time-frequency representations of the sternocleidomastoid muscle electromyographic signal recorded with concentric ring electrodes.Onset and Offset Estimation of the Neural Inspiratory Time in Surface Diaphragm Electromyography: A Pilot Study in Healthy Subjects.Efficiency of mechanical activation of inspiratory muscles in COPD using sample entropy.Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample Entropy.Estimation of bilateral asynchrony between diaphragm mechanomyographic signals in patients with chronic obstructive pulmonary disease.Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals.Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals.EMG-Derived Respiration Signal Using the Fixed Sample Entropy during an Inspiratory Load Protocol.Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in COPD patients.Surface mechanomyography and electromyography provide non-invasive indices of inspiratory muscle force and activation in healthy subjectsInterpretation of the approximate entropy using fixed tolerance values as a measure of amplitude variations in biomedical signalsNoninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory testDouble and multiple cycling in mechanical ventilation: Complex events with varying clinical effects
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description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Leonardo Sarlabous
@ast
Leonardo Sarlabous
@en
Leonardo Sarlabous
@es
Leonardo Sarlabous
@nl
Leonardo Sarlabous
@sl
type
label
Leonardo Sarlabous
@ast
Leonardo Sarlabous
@en
Leonardo Sarlabous
@es
Leonardo Sarlabous
@nl
Leonardo Sarlabous
@sl
prefLabel
Leonardo Sarlabous
@ast
Leonardo Sarlabous
@en
Leonardo Sarlabous
@es
Leonardo Sarlabous
@nl
Leonardo Sarlabous
@sl
P106
P1153
35782313900
P21
P2456
P31
P496
0000-0002-0495-8422