Results 141 to 150 of about 528,043 (335)

A Synchronized Computational Architecture For Generalized Bilateral Control Of Robot Arms [PDF]

, 1987
Antal K. Bejczy, Zoltan F. Szakaly
openalex   +1 more source

A Systematic Clinical Framework for Postimplantation Monitoring in Thalamic Neuromodulation: Insights From Twiddler's Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This case described a 25‐year‐old pregnant woman with refractory multifocal epilepsy, diagnosed in 2020 and treated with bilateral thalamic deep brain stimulation (DBS) targeting the centromedian and pulvinar nuclei. Prior to DBS, she experienced daily focal seizures, often progressing to generalized tonic–clonic seizures despite optimal ...
Shalin Shah, Ganne Chaitanya, Jeston Chin, Nicholas Delcimmuto, Jay R. Gavvala   +4 more
wiley   +1 more source

Improving Documentation Rates of Contraception and Reproductive Planning in Patients With Rheumatic Disease

Arthritis Care &Research, EarlyView.
Objective This study aimed to improve contraception and reproductive planning documentation within rheumatology providers’ notes at a single academic center. Methods Female patients aged 18 to 45 years with autoimmune inflammatory rheumatic diseases were identified, and chart review was performed for documentation of contraception and pregnancy ...
Benjamin Moon, Puneet Bajaj, Megan Clowse, James Roberts, Kathryn Dao, Bonnie L. Bermas, Brooke S. Mills   +6 more
wiley   +1 more source

Passivity-Based Control of Human-Robotic Networks with Inter-Robot Communication Delays and Experimental Verification

, 2017
In this paper, we present experimental studies on a cooperative control system for human-robotic networks with inter-robot communication delays.
Atman, M. W. S., Chopra, N., Fujita, M., Hatanaka, T., Yamauchi, J.   +4 more
core   +1 more source

Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for external devices, have applications in active prosthesis control.
Hanjie Deng, Zhikai Wei, Xuhui Hu, Hong Zeng, Aiguo Song, Dingguo Zhang, Dario Farina   +6 more
doaj   +1 more source

Time trends and predictors of gout remission over six years

Arthritis Care &Research, Accepted Article.
Objectives This study aims to describe the trends in remission rates over six years of follow‐up among people with gout taking urate‐lowering therapy (ULT), and to identify variables that predict remission. Methods A post hoc analysis was conducted using data from the Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout (CARES ...
Adwoa Dansoa Tabi‐Amponsah, Sarah Stewart, Greg Gamble, Lisa K Stamp, William J Taylor, Nicola Dalbeth   +5 more
wiley   +1 more source

Enhancing Object Estimation by Camera-LiDAR Sensor Fusion Using IMM-KF With Error Characteristics in Autonomous Robot Systems

IEEE Access
In autonomous robot systems, accurate object recognition and estimation are crucial for ensuring reliable performance, and sensor fusion techniques that combine complementary sensors have proven to be effective in achieving this.
Sun Ho Lee, Woo Young Choi
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Brain-computer interface for robot control with eye artifacts for assistive applications. [PDF]

Sci Rep, 2023
Karas K, Pozzi L, Pedrocchi A, Braghin F, Roveda L.   +4 more
europepmc   +1 more source

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source