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Self-organizing maps for time series analysis of electromyographic data
Carole A. Tucker
Research output
:
Contribution to conference
›
Paper
›
peer-review
2
Scopus citations
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Dive into the research topics of 'Self-organizing maps for time series analysis of electromyographic data'. Together they form a unique fingerprint.
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Keyphrases
Electromyography
100%
Series Analysis
100%
Self-organizing Map
100%
Ambulation
60%
Clinical Application
20%
Research Application
20%
Treadmill
20%
Muscle Groups
20%
Muscle Activity
20%
Simultaneous Analysis
20%
Movement Patterns
20%
Complex Patterns
20%
Unsupervised Clustering
20%
Pattern Classification
20%
Task Interdependence
20%
Muscle Force
20%
Multi-channel
20%
Force Output
20%
Working Time
20%
Muscle Activation Patterns
20%
Movement Task
20%
Weight Vector
20%
Time Problem
20%
Neurocomputational Approach
20%
Channel Features
20%
Nursing and Health Professions
Mobilization
100%
Time Series Analysis
100%
Muscle Strength
33%
Electromyography
33%
Computer Science
Organizing Map
100%
Muscle Activity
50%
Pattern Classification
25%
Electromyography
25%
Multiple Channel
25%
Complex Pattern
25%
Neuroscience
Self-Organizing Map
100%
Time Series Analysis
100%
Electromyography
25%
Engineering
Self-Organizing Map
100%
Muscle Activity
50%
Output Force
25%
Weight Vector
25%
Related Task
25%