Sentence examples for muscle electromyography data from inspiring English sources

Trunk and load kinematic and trunk muscle electromyography data were collected during lifting.

Experiments are performed for muscle fatigue classification using surface electromyography data where classification accuracy is measured as the performance metric.

Masticatory muscle forces were estimated using muscle stress, physiological cross sectional areas and electromyography data collected from the literature.

Our classifiers were tested on muscle activities estimated from captured human motions, electromyography data, and reaction forces.

Consistent with our findings, estimates of variance components were shown to be associated with considerable imprecision in previous studies on muscle activity during assembly work [ 3, 4] and on posture and electromyography data from short-cycle manual handling [ 6].

While three synergies could describe nearly 95% of the variance in electromyography data during unassisted walking, these same synergies could describe only 85 90% of the variance in muscle activity while walking with the exoskeleton.

Rhomboid muscle electromyography activity during 3 different manual muscle tests.

Results: Pelvic floor muscle electromyography increased with contraction of the abdominal muscles.

Electromyography data during all tasks were normalized to the average activation during the straight ahead tasks to determine relative changes in muscle activation between the straight ahead and different cut styles (crossover and side step).

The CRC now includes sensors of foot forces, cardiovascular parameters, and leg muscle electromyography.

However, there is no consensus regarding muscle electromyography and kinematic patterns during fatiguing tasks.