Controlling an Anatomical Robot Hand Using the Brain-Computer Interface Based on Motor Imagery by H. M. K. K. M. B. Herath, W.R. de Mel

“…The aim of this research is to develop a 3-finger anatomical robot hand model for handicapped people and control (flexion and extension) the robot hand using motor imagery. Eight EEG electrodes were used to extract EEG signals from the primary motor cortex. …”
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Research on mechanical analysis and optimal design of electromagnetic variable pre-pressure ultrasonic motor by Ruikun Niu, Yong Guo, Guanqi Wu, Jun Liu

“…Ultrasonic motors have been widely applied and promoted due to their advantages, such as low-speed high torque, fast response, and self-locking upon power loss. …”
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Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

Subjects: “…Motor imagery…”
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A Model for Igniter Mass Flow Rate History Evaluation for Solid Rocket Motors by Yanjie Ma, Futing Bao, Weihua Hui, Yang Liu, Yijie Gao

“…Although derived on the basis of a small-scale solid rocket motor, the model has the potential to be used in large-scale systems.…”
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Design optimization of the podded propulsor considering pod housing drag and propulsion motor performance by Yuhang Zhou, Chengjiang Liu, Yao Yan, Quan Chen, Wenliang Ke

“…The podded propulsor (POD) offers advantages such as high efficiency, low noise, and space-saving by integrating the propulsion motor and propeller. This paper presents an optimization methodology that simultaneously improves motor performance and pod housing drag through numerical analysis. …”
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Clinically probable RBD is an early predictor of malignant non-motor Parkinson’s disease phenotypes by Alfonso Enrique Martinez-Nunez, Hunter Hutchinson, Patricia Coutinho, Filipe Pereira Sarmento, Venkat Srikar Lavu, Qingqi Yuan, Jagan Mohan Reddy Dwarampudi, Aysegul Gunduz, Gregory M. Pontone, Michael S. Okun, Joshua K. Wong

“…Abstract Non-motor symptoms (NMS) in Parkinson’s disease (PD) significantly impact quality of life, especially in later stages. …”
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Construction of the control algorithm to improve energy efficiency of a switched reluctance electric motor by А. V. Kashuba, A. V. Shevkunova

Subjects: “…switched reluctance electric motor…”
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Modal Analysis of In-Wheel Motor-Driven Electric Vehicle Based on Bond Graph Theory by Di Tan, Qiang Wang, Yanshou Wu

“…A half-car vibration model of an electric vehicle driven by rear in-wheel motors was developed using bond graph theory and the modular modeling method. …”
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Is the blood pressure response to exercise associated with the motor unit firing patterns of the exercised muscle? by Shigehiko Ogoh

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Lifespan trajectories of motor control and neural oscillations: A systematic review of magnetoencephalography insights by Xinbi Zhang, Mingming Huang, Xiaoxia Yuan, Xiaoke Zhong, Shengyu Dai, Yingying Wang, Qiang Zhang, Kanya Wongwitwichote, Changhao Jiang

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Contingent Negative Variation and Working Memory Maintenance in Adolescents with Low and High Motor Competencies by Sebastian Ludyga, Christian Herrmann, Manuel Mücke, Christian Andrä, Serge Brand, Uwe Pühse, Markus Gerber

“…Although it has been suggested that motor and cognitive development is interrelated, the link between motor competencies and neurophysiological indices of working memory operations has not yet been examined in adolescents. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

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Optimization Analysis of Automotive Asymmetric Magnetic Pole Permanent Magnet Motor by Taguchi Method by Wenchao Zhang, Liwei Shi, Kaiwen Liu, Lintao Li, Jianning Jing

“…In order to improve the air-gap flux density of the permanent magnet synchronous motor and reduce the cogging torque, a novel structure with asymmetric magnetic poles for automobile was proposed. …”
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Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method by Guoqing An, Hongru Li

“…The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction method based on multiscale morphological spectrum and permutation entropy is proposed. …”
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EEG Alpha Band Synchrony Predicts Cognitive and Motor Performance in Patients with Ischemic Stroke by Sviatlana Dubovik, Radek Ptak, Tatiana Aboulafia, Cécile Magnin, Nicole Gillabert, Lara Allet, Jean-Michel Pignat, Armin Schnider, Adrian G. Guggisberg

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Study on Synchronization of Two Eccentric Rotors Driven by Hydraulic Motors in One Vibrating System by Tianxia Zhang, Bangchun Wen, Jian Fan

“…In this article the synchronization of two eccentric rotors driven by hydraulic motors (TERDHM) in one vibrating system is studied. …”
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Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor by Wenshao Bu, Shihao Guo, Zongang Fan, Jinwei Li

Subjects: “…permanent magnet synchronous motor…”
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Generating Diverse Spinal Motor Neuron Subtypes from Human Pluripotent Stem Cells by Rickie Patani

“…Resolving the mechanisms underlying human neuronal diversification remains a major challenge in developmental and applied neurobiology. Motor neurons (MNs) represent a diverse pool of neuronal subtypes exhibiting differential vulnerability in different human neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA). …”
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Modeling and Simulation of the Vibration Characteristics of the In-Wheel Motor Driving Vehicle Based on Bond Graph by Di Tan, Qiang Wang

“…Bond graph theory is applied to the modeling and analysis of the vibration characteristics of the in-wheel motor driving vehicle. First, an 11-degree-of-freedom vibration model of the in-wheel motor driving vehicle is established based on bond graph, and then the correctness of the model is verified. …”
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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM by Yan Lu, Peijiang Li

“…Firstly, the dual tree complex wavelet transform instead of the discrete wavelet transform is used to decompose the motor bearing signal; then, the features with large differentiation of motor-bearing fault are extracted; finally, the states of motor bearing are classified by using artificial fish swarm optimization-kernel extreme learning machine. …”
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