Application of polynomial regression modeling to automatic measurement of periods of EMG activity

Model-based analysis of jaw-movement kinematics using jerk-optimal criterion: simulation of human chewing cycles

“…Thus, the intersection point of the horizontal, sagittal and frontal planes was transferred to the center of the magnet where it marks the origin of the reference coordinate system. The data recording device and sampling procedure were identical to those described previously [22,23,28,29]. Data sampling continued until the computer had consecutively counted 30 cycles.…”

Patient ratings of spasticity during daily activities are only marginally associated with long-term surface electromyography

“…For this purpose, two experts (LK and GV) independently manually marked starts and endings of bursts in a random subset of data from seven patients. Data marking by experts has the advantage that the results of burst detection coincide with human intuitive judgement 20. The marks corresponded to a subset of changes in variance that were detected with the AGLR algorithm.…”

Changes in masticatory jaw movement and muscle activity following surgical orthodontic treatment of an adult skeletal Class III case

“…Recordings of jaw movement and the EMG of the anterior (AT) and posterior (PT) parts of the temporal and superficial masseter (SM) muscles during the chewing of hard chewing gum on the patient's habitual chewing side (right side) were made from the sixth to the thirty-fifth stroke simultaneously (6,7). Silent periods on the EMG were automatically detected by a customized software (8).…”