AIMC Topic: Electrodes

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Decoding Silent Speech Based on High-Density Surface Electromyogram Using Spatiotemporal Neural Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 26, 2023
Finer-grained decoding at a phoneme or syllable level is a key technology for continuous recognition of silent speech based on surface electromyogram (sEMG). This paper aims at developing a novel syllable-level decoding method for continuous silent s...
Electrodes Laryngeal Muscles Electromyography Humans Neural Networks, Computer Speech
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Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 19, 2023
The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a dual encoder variational autoencoder-generative adversarial...
Humans Entropy Electroencephalography Electrodes Neural Networks, Computer Emotions
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DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation.

IEEE transactions on bio-medical engineering Mar 21, 2023
OBJECTIVE: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used to generate conduction currents in the head and disrupt brain functions. To rapidly evaluate the tDCS-induced current density in near real-ti...
Brain Head Transcranial Direct Current Stimulation Deep Learning Electrodes
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Robot-assisted bilateral deep brain electrode implantation to treat isolated oromandibular dystonia.

Asian journal of surgery Mar 8, 2023
Humans Brain Robotics Electrodes Mouth Diseases Dystonia
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Fully nondestructive analysis of capsaicinoids electrochemistry data with deep neural network enables portable system.

Food chemistry Mar 7, 2023
Electrochemical methods have been extensively applied for the detection of chemical information from food or other analytes. However, existing electrochemical methods are limited to focusing solely on the absorption peaks and disregard much of the hi...
Electrochemistry Electrochemical Techniques Electrodes Neural Networks, Computer Artificial Intelligence
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Anesthetic implications in the placement of deep brain electrodes through a stereotactic robot in the study of drug resistant epilepsy.

Revista espanola de anestesiologia y reanimacion Feb 24, 2023
Humans Brain Anesthetics Drug Resistant Epilepsy Robotics Electrodes
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An Extended Spatial Transformer Convolutional Neural Network for Gesture Recognition and Self-Calibration Based on Sparse sEMG Electrodes.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
sEMG-based gesture recognition is widely applied in human-machine interaction system by its unique advantages. However, the accuracy of recognition drops significantly as electrodes shift. Besides, in applications such as VR, virtual hands should be ...
Electromyography Electrodes Calibration Gestures Hand Algorithms Humans Neural Networks, Computer
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Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results.

Sensors (Basel, Switzerland) Feb 11, 2023
Most studies on EEG-based biometry recognition report results based on signal databases, with a limited number of recorded EEG sessions using the same single EEG recording for both training and testing a proposed model. However, the EEG signal is hig...
Electrodes Biometry Humans Neural Networks, Computer Databases, Factual Electroencephalography
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MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.

PloS one Nov 7, 2022
In the field of surface electromyography (sEMG) gesture recognition, how to improve recognition accuracy has been a research hotspot. The rapid development of deep learning provides a new solution to this problem. At present, the main applications of...
Recognition, Psychology Gestures Neural Networks, Computer Humans Electromyography Algorithms Hand Electrodes
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Organizing Reliable Polymer Electrode Lines in Flexible Neural Networks via Coffee Ring-Free Micromolding in Capillaries.

ACS applied materials & interfaces Oct 4, 2022
With an increase in the demand for smart wearable systems, artificial synapse arrays for flexible neural networks have received considerable attention. A synaptic device with a two-terminal configuration is promising for complex neural networks becau...
Artificial Intelligence Polymers Neural Networks, Computer Electrodes Capillaries
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