Pain Classification Using Statistical Feature Extraction Using Machine Learning Approach: A Pilot Study-Reference-Cited by-同舟云学术

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Pain Classification Using Statistical Feature Extraction Using Machine Learning Approach: A Pilot Study

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Sudimanto ¹,Trisetyarso Agung²,Kartowisastro Iman Herwidiana³,Budiharto Widodo⁴

Affiliation:

1. Bina Nusantara University,BINUS Graduate Program Computer Science,Computer Science Department,Jakarta,Indonesia,11480

2. Bina Nusantara University,School of Computer Science,Mathematics Department,Jakarta,Indonesia,11480

3. Bina Nusantara University,Computer Science Department, BINUS Graduate Program Computer Science, Computer Engineering Department,Jakarta,Indonesia,11480

4. Bina Nusantara University Jl. K. H. Syahdan No. 9, Kemanggisan, Palmerah,School of Computer Science,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10237087/10237006/10237153.pdf?arnumber=10237153

Reference17 articles.

1. Characterization of biomedical signals: Feature engineering and extraction

2. Statistical features extraction based on the discrete wavelet transform for electrical appliances identification

3. Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

4. GSR User Guide;sensing;Shimmer 2015,2013

5. Statistical Feature Extraction To Classify Oral Cancers;anuradha;Journal of Global Research in Computer Science,2013

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