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. 2025 Sep 16;25(18):5770. doi: 10.3390/s25185770
ACF Autocorrelation Function
ADJUST Artefact Detector based on the Joint Use of Spatial and Temporal features
AMRC Amplitude Modulation Rate of Change
ANC Adaptive Noise Canceler
ANFIS Adaptive Noise Cancellation System
ANOVA Analysis of Variance
APF Adaptive Predictor Filter
ASR Artifact Subspace Reconstruction
AUC Area Under the Curve
BC Binary Classification
BiGRU Bidirectional Gated Recurrent Unit
BM Belief Matching
BPF Band-Pass Filter
CC Correlation of Coefficient
CCA Canonical Correlation Analysis
CCR Correct Classification Rate
CNN Convolutional Neural Network
CSED Cumulative Sum of Squared Error Difference
CSMC Corrugator Supercilii Muscle Contraction
DWT Discrete Wavelet Transform
DSNR Difference in Signal-to-Noise Ratio
DTW Dynamic Time Warping
EAWICA           Enhanced Automatic Wavelet ICA
EC Eyes Closed
ECG Electrocardiogram
EEG Electroencephalogram
EEMD Ensemble Empirical Mode Decomposition
EII Electric Impedance Imbalance
EM Expectation–Maximization
EMD Empirical Mode Decomposition
EMG Electromyogram
EMI Electromagnetic Interference
EO Eyes Open
EOG Electrooculogram
ERP Event-Related Potential
ETI Electrode-Tissue Impedance
FC Fully Connected
FCBF Fast Correlation-Based Filter
FD Fractal Dimension
FDR False Discovery Rate
FIR Finite Impulse Response
FMEMD Fast Multivariate Empirical Mode Decomposition
FFT Fast Fourier Transform
FORCe Wavelet + ICA (SOBI) + Thresholding
FP-h False Positive rate per hour
FPM False Positive rate per Minute
FPR False Positive Rate
FTR Frequency-Tagging Response
GAN Generative Adversarial Network
GRU Gated Recurrent Unit
GRU-MARSC Gated Recurrent Unit-based Multi-type
Artifact Removal algorithm for Single-Channel
GSTV Group Sparsity Total Variation
GWO Gray Wolf Optimization
HPF High-Pass Filter
HPO HyperParameter Optimization
ICA Independent Component Analysis
ICA-W Independent Component Analysis–Wavelet
ICs Independent Components
I-CycleGAN Improved CycleGAN
IMDL Integrated Minimum Description Length
IMFs Intrinsic Mode Functions
IMU Inertial Measurement Unit
ISD Index of Spectral Deformation
KNN k-Nearest Neighbors
LDA Linear Discriminant Analysis
LiMC Limb Muscle Contraction
LaMC Laryngeal Muscle Contraction
LLMS Leaky Least Mean Squares
LMM Local Maximal and Minimal
LMS Least Mean Square
LogP Log Power
LPF Low-Pass Filter
LZC Lempel–Ziv Complexity
MAD Median Absolute Deviation
MAE Mean Absolute Error
MCA Morphological Component Analysis
MCAF Multi-Channel Adaptive Filtering
MARSC Multi-type Artifact Removal algorithm for Single-Channel
MC Multi-class Classification
MCC Matthews Correlation Coefficient
MCCP Minimal Cost-Complexity Pruning
MEMD Multivariate Empirical Mode Decomposition
MFE Morphological Feature Extraction
MI Mutual Information
MMC Multi-class Multi-output Classification
MaMC Masseter Muscle Contraction
MeMC Mentalis Muscle Contraction
MODWT Maximal Overlap Discrete Wavelet Transform
MRA MultiResolution Analysis
MSC Magnitude Square Coherence
MSDW Multi-window Summation of Derivatives within a Window
MSE Mean Square Error
MV-EMD Multivariate EMD with CCA
M-mDistEn Multiscale Modified-Distribution Entropy
MLP Multilayer Perceptron
mRMR Minimum Redundancy Maximum Relevance
NA-MEMD      Noise-Assisted Multivariate Empirical Mode Decomposition
NMC Nasalis Muscle Contration
NLMS Normalized Least Mean Square
NSR Noise-to-Signal Ratio
OD Outlier Detection
OOcMC Orbicularis Oculi Muscle Contraction
OOrMC Orbicularis Oris Muscle Contraction
OS-EHO Opposition Searched–Elephant Herding Optimization
PCA Principal Component Analysis
PCMC Posterior Cervical Muscle Contraction
PLN Power-Line Noise
PMC Pharyngeal Muscle Contraction
PGA Principal Geodesic Analysis
PSD Power Spectral Density
PSNR Peak Signal-to-Noise Ratio
PPV Positive Predictive Value
QDA Quadratic Discriminant Analysis
RLS Recursive Least-Squares Adaptive
RMS Root Mean Square
RMSE Root Mean Squared Error
RCs Reconstructed Components
ResCNN Residual Convolutional Neural Network
ResUnet1D 1D Residual U-Net Semantic Segmentation Network
RNN Recurrent Neural Network
RP Relative Power
RRMSE Relative Root Mean Squared Error
RRMSEf Relative Root Mean Squared Error in time domain
RRMSEt Relative Root Mean Squared Error in frequency domain
RSD Relative Spectral Difference
SAR Signal-to-Artifact Ratio
SBF Stop-Band Filter
SD Standard Deviation
SDW Summation of Derivatives within a Window
ShMC Shoulder Muscle Contraction
SSA Singular Spectrum Analysis
SubMc Submentalis Muscle Contraction
SE Shannon Entropy
SEF Spectral Edge Frequency
SG Savitzky–Golay Filter
SOBI Second Order Blind Identification
SNR Signal-to-Noise Ratio
SVM Support Vector Machine
SSVEP Steady-State Visual Evoked Potentials
SWT Stationary Wavelet Transform
STFT Short-Time Fourier Transform
SVD Singular Value Decomposition
TEN Thermal Electronics Noise
TeMC Temporalis Muscle Contraction
ToMC Tongue Muscle Contraction
TFA Time–Frequency Analysis
TPR True Positive Rate
TPOT Tree-based Pipeline Optimization Tool
vEOG vertical Electrooculogram
VME Variational Mode Extraction
VME-DWT Variational Mode Extraction with Discrete Wavelet Transform
WICs Wavelet Independent Components
wICA Wavelet-enhanced Independent Component Analysis
WT Wavelet Transform
ZCR Zero Crossing Rate
ZMC Zygomaticus Muscle Contraction