Results 131 to 140 of about 4,489,782 (294)

Brain Machine Interface

International Journal of Advanced Scientific Technologies in Engineering and Management Sciences, 2016
R. Kamalakannan, N. Ravi Kumar
openaire   +2 more sources

Measuring Sensorimotor Rhythms During Active and Resistive Upper-Limb Movement Execution

Machines
Sensorimotor rhythms (SMR) are widely employed in brain–machine interface applications, although their reliable detection during overt upper-limb movements remains challenging because of motion artifacts and concurrent peripheral activity.
Fortuna Galdieri, Mario Ortiz, Antonio Esposito, Eduardo Iáñez, Pasquale Arpaia, José M. Azorín   +5 more
doaj   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

One-pass algorithms for large and shifting data sets

, 2010
For many problem domains, practitioners are faced with the problem of ever-increasing amounts of data. Examples include the UniProt database of proteins which now contains ~6 million sequences, and the KDD ’99 data which consists of ~5 million points. At
Farran, Bassam
core   +1 more source

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet

Frontiers in Neuroinformatics
IntroductionIn recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals present challenges due to their non-
Javier V. Juan, Javier V. Juan, Rubén Martínez, Rubén Martínez, Rubén Martínez, Eduardo Iáñez, Eduardo Iáñez, Mario Ortiz, Mario Ortiz, Jesús Tornero, Jesús Tornero, José M. Azorín, José M. Azorín, José M. Azorín   +13 more
doaj   +1 more source

Preface to special topic on brain-machine interface. [PDF]

Natl Sci Rev, 2022
Li L.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

An Autonomous Brain Machine Interface [PDF]

, 2013
Doctoral DissertationThe aim of our work has been to advance the field of brain machine interfaces by creating a novel algorithm that can be implemented in the real-world. Most systems currently use supervised learning to train their algorithms for a pre-
Marsh, Brandi
core  

Cortical representation of multidimensional handwriting movement and implications for neuroprostheses

Nature Communications
Handwriting brain-computer interfaces (BCIs) have enabled high performance brain-to-text communication for paralyzed individuals. However, the detailed parameters of handwriting movement and their cortical representations remain incompletely understood ...
Zebin Wang, Guangxiang Xu, Bowen Yu, Kedi Xu, Junming Zhu, Gang Pan, Jianmin Zhang, Yueming Wang, Yaoyao Hao   +8 more
doaj   +1 more source

Volitional activation of remote place representations with a hippocampal brain-machine interface. [PDF]

Science, 2023
Lai C, Tanaka S, Harris TD, Lee AK.
europepmc   +1 more source