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Thermal Image-Based Temperament Classification by Genetic Algorithm and Adaboost Classifier.

Roshanak Ghods¹, Vahid Reza Nafisi²

¹Research Institute for Islamic and Complementary Medicine, School of Persian Medicine, Iran University of Medical Sciences, Tehran, Iran.

Journal of Medical Signals and Sensors

|March 10, 2022

Summary

This summary is machine-generated.

Thermal imaging shows promise for determining temperament in Persian Medicine, offering a reliable, objective alternative to subjective assessments. This method achieved high accuracy, though integrating additional features may further enhance classification reliability.

Keywords:

Genetic algorithm Persian medicine thermal imaging warm/cold temperament

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Area of Science:

Traditional Persian Medicine
Medical Imaging
Biomedical Engineering

Background:

Temperament (Mizaj) determination is crucial in Persian Medicine (PM) diagnosis.
Current subjective assessments for Mizaj lack objectivity.
Evaluating objective diagnostic tools is essential for advancing PM.

Purpose of the Study:

To assess the reliability of thermal imaging as an objective tool for temperament determination in Persian Medicine.
To compare thermal imaging data with subjective temperament assessments.
To explore the potential of thermal imaging to replace subjective diagnostic methods.

Main Methods:

Assessed temperament of 34 participants using the Mojahedi Mizaj Questionnaire (MMQ).
Recorded thermal images of the wrist, back of the hand, and face.
Developed a classification algorithm using genetic algorithms and Adaboost classifier on 13 thermal features.

Main Results:

Thermal imaging data showed consistency with MMQ results for mean temperature and variations.
Images from the 'Malmas' (face) region demonstrated the highest consistency with MMQ.
Optimized classification using six features yielded high accuracy (94.7%), sensitivity (95.7%), and specificity (98.2%).

Conclusions:

Thermal imaging is a potentially reliable tool for evaluating warm/cold temperament, correlating with the standardized MMQ.
Thermal imaging features alone may not be sufficient for comprehensive temperament classification.
Future research should integrate thermal imaging with other features like pulse data and subjective characteristics for enhanced diagnostic accuracy.