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Title: :  Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals
PaperId: :  16023
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 1 2022
DUI:    16.0415/IJARIIE-16023
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mrs. Shailaja S. PatilAssistant Professor, Electronics and Telecommunication Engineering Department Rajarambapu Institute of Technology, Sakharale, Sangli,Maharashtra, , India,415414
Prof. Dr. Shubhangi B. PatilDr. J. J. Magdum College of Engineering, Jayasingpur, Maharashtra, 416101, India.

Abstract

Electronics Engineering
sEMG signals, SVM, Feature Extraction, Principal Component Analysis
Joint pain is the one of the major health related problem reported by many numbers of patients. Accurate measurement of pain is not ever having universal standard reference unit of measure and overall subject’s pain information solely depends on the survey form only. A study of finding the correlation between EMG signal and pain is the prime moto of current research work. Chronic joint pain especially in the area located at knee and ankle is a severe health concern today. Therefore, multiple clinical remedies have been suggested to get rid of these health problems. Level of pain measurement is a survey type questionnaire on ten-point scaling. Electroencephalogram (EEG) signal is best correlated with the physiological symptoms and overall pain related information, which is global in nature. Support Vector Machine on processed sEMG data is used for the classification of pain in three different categories like Normal, Moderate and Severe. Performance analysis of present method is validated with the survey pain diagnostic feedback forms

Citations

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IJARIIE Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. "Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 1 2022 Page 1198-1209
MLA Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. "Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals." International Journal Of Advance Research And Innovative Ideas In Education 8.1(2022) : 1198-1209.
APA Mrs. Shailaja S. Patil, & Prof. Dr. Shubhangi B. Patil. (2022). Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals. International Journal Of Advance Research And Innovative Ideas In Education, 8(1), 1198-1209.
Chicago Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. "Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 1 (2022) : 1198-1209.
Oxford Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. 'Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 1, 2022, p. 1198-1209. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Analysis_of_Chronic_Joint_Pain_using_Soft_Computing_Techniques_with_Feature_Extraction_and_Classification_based_on_sEMG_Signals_ijariie16023.pdf (Accessed : ).
Harvard Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. (2022) 'Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals', International Journal Of Advance Research And Innovative Ideas In Education, 8(1), pp. 1198-1209IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Analysis_of_Chronic_Joint_Pain_using_Soft_Computing_Techniques_with_Feature_Extraction_and_Classification_based_on_sEMG_Signals_ijariie16023.pdf (Accessed : )
IEEE Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil, "Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 1, pp. 1198-1209, Jan-Feb 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Analysis_of_Chronic_Joint_Pain_using_Soft_Computing_Techniques_with_Feature_Extraction_and_Classification_based_on_sEMG_Signals_ijariie16023.pdf [Accessed : ].
Turabian Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. "Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 1 ().
Vancouver Mrs. Shailaja S. Patil, and Prof. Dr. Shubhangi B. Patil. Analysis of Chronic Joint Pain using Soft Computing Techniques with Feature Extraction and Classification based on sEMG Signals. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(1) : 1198-1209. Available from: https://ijariie.com/AdminUploadPdf/Analysis_of_Chronic_Joint_Pain_using_Soft_Computing_Techniques_with_Feature_Extraction_and_Classification_based_on_sEMG_Signals_ijariie16023.pdf
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