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BiCurNet: Premovement EEG-Based Neural Decoder for Biceps Curl Trajectory Estimation

https://doi.org/10.1109/tim.2023.3346505
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/s00034-022-02057-9openalex-snapshot
Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks
inferredcites →https://doi.org/10.1007/s11831-021-09684-6openalex-snapshot
Review of Machine Learning Techniques for EEG Based Brain Computer Interface
inferredcites →https://doi.org/10.1016/j.bspc.2022.103494openalex-snapshot
One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram
inferredcites →https://doi.org/10.1016/j.bspc.2023.105160openalex-snapshot
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
inferredcites →https://doi.org/10.1016/j.cmpbup.2021.100027openalex-snapshot
A new method for accurate detection of movement intention from single channel EEG for online BCI
inferredcites →https://doi.org/10.1016/j.jneumeth.2003.10.009openalex-snapshot
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
inferredcites →https://doi.org/10.1016/j.jneumeth.2006.11.017openalex-snapshot
PsychoPy—Psychophysics software in Python
inferredcites →https://doi.org/10.1016/j.neunet.2015.07.007openalex-snapshot
Towards dropout training for convolutional neural networks
inferredcites →https://doi.org/10.1016/j.patcog.2017.12.002openalex-snapshot
Deep Convolutional Neural Networks for mental load classification based on EEG data
inferredcites →https://doi.org/10.1038/s41598-021-81805-4openalex-snapshot
Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements
inferredcites →https://doi.org/10.1038/srep45486openalex-snapshot
Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex
inferredcites →https://doi.org/10.1088/1741-2552/ab59a7openalex-snapshot
Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG slow cortical potentials
inferredcites →https://doi.org/10.1088/1741-2552/abf0d7openalex-snapshot
Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG current source dipoles
inferredcites →https://doi.org/10.1093/acprof:oso/9780195388855.003.0001openalex-snapshot
Brain–Computer Interfaces: Something New under the Sun
inferredcites →https://doi.org/10.1098/rstb.2001.0915openalex-snapshot
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
inferredcites →https://doi.org/10.1109/34.192463openalex-snapshot
A theory for multiresolution signal decomposition: the wavelet representation
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206884openalex-snapshot
Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients’ for Neuro-Rehabilitation Application
inferredcites →https://doi.org/10.1109/jbhi.2014.2327635openalex-snapshot
EEG Activity During Movement Planning Encodes Upcoming Peak Speed and Acceleration and Improves the Accuracy in Predicting Hand Kinematics
inferredcites →https://doi.org/10.1109/lsens.2022.3183284openalex-snapshot
PreMovNet: Premovement EEG-Based Hand Kinematics Estimation for Grasp-and-Lift Task
inferredcites →https://doi.org/10.1109/msp.2008.4408443openalex-snapshot
Predicting Reaching Targets from Human EEG
inferredcites →https://doi.org/10.1109/tcds.2017.2787040openalex-snapshot
Online Covariate Shift Detection-Based Adaptive Brain–Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation
inferredcites →https://doi.org/10.1109/tcds.2020.2979375openalex-snapshot
BCI-Controlled Assistive Manipulator: Developed Architecture and Experimental Results
inferredcites →https://doi.org/10.1109/tcds.2021.3079712openalex-snapshot
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
inferredcites →https://doi.org/10.1109/tcyb.2022.3166604openalex-snapshot
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction Using EEG Signal
inferredcites →https://doi.org/10.1109/thms.2021.3056274openalex-snapshot
Use of Mobile EEG in Decoding Hand Movement Speed and Position
inferredcites →https://doi.org/10.1109/tim.2020.3026511openalex-snapshot
Brain Source Localization in Head Harmonics Domain
inferredcites →https://doi.org/10.1109/tnsre.2014.2375879openalex-snapshot
Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals
inferredcites →https://doi.org/10.1109/tnsre.2020.2981659openalex-snapshot
Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals
inferredcites →https://doi.org/10.1109/tnsre.2022.3176575openalex-snapshot
ICA With CWT and k-means for Eye-Blink Artifact Removal From Fewer Channel EEG
inferredcites →https://doi.org/10.1111/ejn.14936openalex-snapshot
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks
inferredcites →https://doi.org/10.1186/1475-925x-9-45openalex-snapshot
OpenMEEG: opensource software for quasistatic bioelectromagnetics
inferredcites →https://doi.org/10.3389/fnins.2016.00122openalex-snapshot
Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors
inferredcites →https://doi.org/10.3389/fnins.2022.808830openalex-snapshot
Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study
inferredcites →https://doi.org/10.3389/fnins.2023.1086472openalex-snapshot
A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface
inferredcites →https://doi.org/10.3390/genes10070553openalex-snapshot
A Guide on Deep Learning for Complex Trait Genomic Prediction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4814080openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11571-025-10403-1openalex-snapshot
M3T-attention: a multi-level multi-scale temporal attention transformer for EEG hand movement trajectory decoding
inferred← citeshttps://doi.org/10.1016/j.bbe.2026.02.001openalex-snapshot
Decoding daily Living activities from pre-movement EEG using Cross-Power correlation in source and sensory Spaces
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109608openalex-snapshot
ESI-GAL: EEG source imaging-based trajectory estimation for grasp and lift task
inferred← citeshttps://doi.org/10.1016/j.neuri.2024.100172openalex-snapshot
Exploring age-related functional brain changes during audio-visual integration tasks in early to mid-adulthood
inferred← citeshttps://doi.org/10.1038/s41598-025-99009-5openalex-snapshot
Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging
inferred← citeshttps://doi.org/10.1109/tim.2024.3381720openalex-snapshot
NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals
inferred← citeshttps://doi.org/10.1186/s12911-025-02924-wopenalex-snapshot
Deep learning-based classification of dementia using image representation of subcortical signals
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