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RISChanges in respiratory activity induced by mastication during oral breathing in humans
A Hybrid Neural Network Approach for Kinematic Modeling of a Novel 6-UPS Parallel Human-Like Mastication Robot
of iterations and computational time decreased by 90% and 34%, respectively, compared to the conventional Newton method.
Conclusion: The present analysis could allow researchers to characterize and study the mastication process by specifying different...
Fuzzy Impedance Control Strategy for Jaw Rehabilitation Using 6-UPS Stewart Robot
Recently, the variety of devices and robots are available for recovering and rehabilitating human disorder patients. In this paper, simple and effective control method utilized for position-impedance control. This method ...
Prediction of Clenching Jaw Movements Based on EMG Signals Using Fast Orthogonal Search
Recently, the relationship between muscles’ electrical activity and body movements has been considered in many medical applications. In these applications, uses of non-expensive and portable of electromyography (EMG) ...
Dynamic modeling of the EMG and chewing force relation through ANFIS-principal dynamic mode analysis
Introduction: Researchers have employed surface electromyography (EMG) to study the human masticatory system and the relationship between the activity of masticatory muscles and the mechanical features of mastication. This relationship has several...
A time-delay parallel cascade identification system for predicting jaw movements
(TDPCI) to predict jaw motion using Electromyography (EMG) signals recorded from two masticatory muscles, namely masseter and temporalis. The Obtained results demonstrate the efficiency of TDPCI in predicting time-varying mastication kinematic parameters...
GC-MS Analysis and Antimicrobial activity ofthe essential oil of trunk exudates from Pistacia atlantica var. mutica
concentration (MIC) methods. The GC-MS results showed that α -
Pinene, Myrcene, Limonene, ρ-Cymene, 1,8-Cineole and E-Caryophyllene were the major
components of essential oil of the mastic gum. The antimicrobial results showed that the...
SEMG-based prediction of masticatory kinematics in rhythmic clenching movements
This paper investigated the ability of a hybrid time-delayed artificial neural network (TDANN)/autoregressive TDANN (AR-TDANN) to predict clenching movements during mastication from surface electromyography (SEMG) signals. Actual jaw motions...