Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines
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Title
Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines
Authors
Keywords
Support vector machines, Machine learning algorithms, Electromyography, Entropy, Machine learning, Pain sensation, Functional electrical stimulation, Electrocardiography
Journal
PLoS One
Volume 10, Issue 10, Pages e0140330
Publisher
Public Library of Science (PLoS)
Online
2015-10-17
DOI
10.1371/journal.pone.0140330
References
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