Engineering
Artificial Neural Network
63%
Prosthesis
51%
Metrics
38%
Pattern Recognition
37%
Degree of Freedom
36%
Convolutional Neural Network
33%
Classification Error
30%
Classification Accuracy
25%
Autoencoder
24%
Prosthetics
24%
Root Mean Square
23%
Extracted Feature
20%
Support Vector Machine
19%
Nearest Neighbor
19%
Single Channel
19%
Proportional Control
19%
Control Scheme
17%
Deep Learning Method
17%
Control Systems
16%
Time Domain
15%
Signal-to-Noise Ratio
14%
Classification Performance
14%
Sound Signal
13%
Absolute Value
12%
Acoustic Signal
11%
Test Train
11%
Random Forest
11%
Matrix Factorization
11%
Domain Feature
11%
Prosthetic Hand
10%
Collected Data
10%
Learning Technique
9%
Simulation Result
9%
Root Mean Square Error
8%
Discharge Rate
8%
Feedforward
8%
Disconnection
8%
Frequency Domain
8%
Force Level
8%
Delay Time
8%
Wearable Sensor
7%
Repeatability
7%
Performance Measure ψ
7%
Term Performance
7%
Two Degree of Freedom
7%
Measured Signal
7%
Healthy Subject
7%
Surface Electrode
7%
Signal Quality
7%
Transfer Learning
6%
Neuroscience
Electromyography
100%
Electromyography
82%
Artificial Neural Network
44%
Brain-Computer Interface
39%
Action Potential
25%
Neural Network
22%
Near Infrared Spectroscopy
21%
Electrotherapy
20%
Support Vector Machine
17%
Motor Unit
17%
Nerve Injury
17%
Pain Threshold
16%
Crossover Study
14%
Pattern Recognition
14%
Signal-to-Noise Ratio
12%
Motor Cortex
11%
Anterior Cingulate Cortex
11%
Auscultation
11%
Event-Related Potential
11%
Recurrent Neural Network
11%
Neurorehabilitation
10%
Neuropathic Pain
8%
Flexor Digitorum Profundus Muscle
7%
Central Nervous System
7%
Somatosensory Cortex
6%
Peripheral Nerve Injury
6%
Peripheral Nerve
6%
Oddball Paradigm
5%
Oxygen Saturation
5%
Blood Plasma
5%
Atrial Fibrillation
5%
Placebo
5%
Deoxyhemoglobin
5%
Sciatic Nerve
5%
Computer Science
Electromyography
89%
Completion Rate
36%
Linear Discriminant Analysis
31%
Computer Interface
29%
Classification Error
26%
Path Efficiency
20%
Support Vector Machine
19%
Artificial Neural Network
19%
Convolutional Neural Network
18%
Classification Accuracy
18%
Pattern Recognition
18%
Performance Metric
16%
Interface System
15%
Domain Feature
13%
Global Feature
11%
Real Time Performance
10%
Classification Performance
8%
Collected Data
8%
Sparse Autoencoder
7%
Frequency Domain
7%
Cardinality
7%
Autoencoder
7%
Performance Measure
6%
Deep Learning Technique
5%
Spectral Image
5%
Hardware Implementation
5%
Convolutional Network
5%
Support Vector Regression
5%
Frequency Feature
5%
Weighted Accuracy
5%
Task Execution
5%
Tactile Feedback
5%
Motion Detection
5%
Closed-Loop Control
5%
Acoustic Signal
5%
And-States
5%
Counting Sequence
5%
Supervised Method
5%
Average Accuracy
5%
Human Computer Interaction
5%
Machine Learning
5%
Learning System
5%
Event Detection
5%
Field Programmable Gate Array
5%
Egocentric Vision
5%
Biomedical Signal
5%
Feature Space
5%
Signal Compression
5%
