Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach

Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach

This study aims to improve the accuracy of detecting acute tonic cold pain (CP) perception from microwave transcranial transmission (MTT) signals. Two different types of CP and no-pain (NP) MTT signals are obtained from 15 subjects. Four features, namely, power spectral exponential entropy, improved...

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Bibliographic Details
Main Authors: Daoshuang Geng, Daoguo Yang, Miao Cai, Weidong Hao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Pain recognition
microwave scattering
random forest
performance evaluation
support vector machine
Online Access:https://ieeexplore.ieee.org/document/8943395/

Internet

https://ieeexplore.ieee.org/document/8943395/

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