Branch - Electronics & Communication Engineering
Faculty - Faculty of Engineering & Technology
Date of Registration - 21st October 2019
Supervisor - Dr. Akhilesh Upadhyay, Professor.
Date of Ph.D. Viva - 3rd August 2024
Title - Recognition of Preterm Birth Using Uterine Electrohysterography (EHG) Signals
1. Khwaja Ramizuddin and Dr. Akhilesh Upadhyay, “A Review on Prediction of Preterm Deliveries from Uterine Electrohysterography (EHG) Signals Using Support Vector Machine (SVM),” April 2020 | IJIRT | Volume 6 Issue 11 | ISSN:2349-6002,Page(s): 679 - 681
2. Khwaja Ramizuddin and Dr. Akhilesh Upadhyay, “Preprocessing of Uterine Electrohysterography(EHG) Signals using Linear & Adaptive filters”,” The SAGE Journal Of Innovative Research In Computing , Vol.1No4(I) pp. 529–534, 2020.
3. Khwaja Ramizuddin and Dr. Akhilesh Upadhyay, “Evaluation of Different Feature Uterine Electrohysterography (EHG) Signals”,” Industrial Engineering Journal, Vol.52 No 3 March 2023 pp. 182–188,
4. Khwaja Ramizuddin and Dr. Akhilesh Upadhyay, “Classification of Uterine Electrohysterography (EHG) Signals using Machine Learning method”,”International Journal of Science Engineering and Management (IJSEM) ISSN2454-9940, Vol 14, Issuse.3 Aug 2023
Click on the link for the uploaded Ph.D. Thesis - http://hdl.handle.net/10603/597652
