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This paper presents a novel hybrid model for fault detection and classification of motor bearing.
Increased function of the excitatory nerves may be responsible for hypertensive esophageal peristaltic contractions (nutcracker esophagus) or hypertensive and hypercontracting LES. Figure 1: Pathophysiologic classification of motor disorders of smooth muscle portion of esophagus.
The 128-dimensional keypoint descriptors, produced by SIFT, were utilized for the classification of motor faults.
Wei and Wang [53] presented a method for channel selection during the classification of motor imagery of left hand, right hand, and foot based on a binary multi-objective particle swarm optimization algorithm.
Neurological function in patients with spinal metastases was assessed by the Frankel classification of motor and sensory compromise.
Neurological function in patients with spinal metastases is assessed by the Frankel classification of motor and sensory compromise (Frankel et al. 1969, Davis et al. 1993).
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We investigated the effects of our approach on the classification performance of motor imagery based on PSD.
In contrast, Gentile's taxonomy considers two general skill characteristics and offers, therefore, a broader concept leading to a two-dimensional classification system of motor skills.
The augmentation in reliability of BCI systems is possible by successful classification of different motor imagery (MI) tasks.
While briefly challenged by a prosodic classification of the motor speech disorders (Kent and Rosenbek, 1982), it was not until theoretical advances in normal prosody culminated in an objective measurement approach that shows promise to complement the audio-perceptual approach and map the prosodic landscape in motor speech disorders.
Li et al. [67] proposed a method for selecting suitable channels for classification of two motor imagery tasks: right hand and right foot based on a common spatial pattern algorithm as shown in Fig. 12.
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