Neuroscience
Adrenocorticotropic Hormone
37%
Autonomic Nervous System
9%
Basal Ganglia
15%
Bradykinesia
14%
Brain Areas
18%
Brain Stimulation
9%
Cardiac Electrophysiology
9%
Deep Brain Stimulation
24%
Electroencephalogram
32%
Electroencephalography
37%
Fourier Transform
18%
Freezing Of Gait
18%
Globus pallidus
6%
Heart Rate Variability
18%
Hormone Therapy
23%
L-DOPA
12%
Local Field Potential
13%
Magnetoencephalography
6%
Motor Control
9%
Movement Disorder
18%
Nervous System Function
9%
Nesting
23%
Neural Oscillation
6%
Neurofeedback
18%
Neuromodulation
23%
Neurophysiology
9%
Parasympathetic Function
18%
Parasympathetic Nervous System
9%
Parkinson's Disease
100%
Parkinsonism
18%
Signal Processing
18%
Sleep Stage
18%
Sleep Studies
18%
Subthalamic Nucleus
81%
Support Vector Machine
18%
Tractography
6%
Wakefulness
9%
Computer Science
Adaptive Learning
9%
Adjacency Matrix
9%
Attention (Machine Learning)
28%
Brain Activity
22%
Classification Stage
9%
Complexity Measure
18%
Contributing Factor
9%
Decomposition Method
18%
Developed Country
18%
Dynamic Analysis
18%
Dynamic Programming Algorithm
9%
empirical mode decomposition
56%
Extracted Feature
9%
Feature Extraction
37%
Frequency Noise
6%
Frequency Sample
9%
Gaussian White Noise
18%
Healthy Subject
18%
Instantaneous Frequency
18%
Kappa Coefficient
9%
Motor Impairment
6%
Multiple Comparison
37%
Negative Emotion
18%
Negative Emotional State
9%
Nonlinear Signal
18%
Nonstationary Signal
18%
Paramount Importance
9%
Parkinson's Disease
7%
Pattern Database
6%
Power Frequency
26%
Related Search Query
9%
Spatial Information
11%
Temporal Characteristic
28%
Temporal Context
18%
Temporal Frequency
9%
Traditional Fourier
18%
Wavelet Transforms
18%
Engineering
Amplitude Modulation
18%
Angular Velocity ω
9%
Brain Activity
6%
Brain Signal
5%
Classification Performance
18%
Climate Variable
9%
Component Analysis
9%
Couplings
37%
Decoding Performance
18%
Deep Sleep
9%
Demonstrates
8%
Developed Country
18%
Dimensionality
9%
Entropy Method
7%
Experimental Result
9%
Frequency Domain
9%
Frequency Region
6%
Frequency Sample
9%
Frequency Spectrum
6%
Heart Rate Variability
13%
Intrinsic Mode Function
14%
Max
9%
Moving Average
18%
Multichannel
9%
Multiple Comparison
5%
Multiple Frequency
8%
Multiscale
84%
Noise Level
6%
Non-Linear Dynamic
9%
Nonlinearity
7%
Obtains
10%
Power Distribution
6%
Power Spectra
20%
Principal Components
9%
Scalogram
18%
Simulation Result
6%
Spatial Scale
18%
State-of-the-Art Method
9%
Support Vector Machine
9%
Surveillance System
18%
