EventsThe 12th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S7. Wearable Sensors and Healthcare Applications of the event The 12th International Electronic Conference on Sensors and Applications
Published date
07 Nov, 2025
Academic Editor
author-avatarJean-marc Laheurte
Citation
Gunavathi R, Angelo P Chery, Wearable Sensors for Gynecological Health Monitoring with AI-Driven Approaches in Post-Hysterectomy Ovarian Function Assessment, in Proceedings of The 12th International Electronic Conference on Sensors and Applications, 12 November–14 November 2025, MDPI: Basel, Switzerland, doi: 10.3390/ECSA-12-26564
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Wearable Sensors for Gynecological Health Monitoring with AI-Driven Approaches in Post-Hysterectomy Ovarian Function Assessment

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1. Associate Professor, School of Sciences, Christ University, India
2. School of Sciences, Christ University, India
Abstract

Hysterectomy is a common surgery performed to remove a woman’s womb (uterus). Monitoring health after a hysterectomy is also extremely important, especially if the ovaries are still present. Now, the functioning of the ovaries and their impact on a woman’s metabolism or cardiovascular health are still in question, which is why we proposed this study. The combination of wearable sensors and Artificial Intelligence helps with post-hysterectomy health monitoring, especially for women who retain their ovaries. Ovarian function remains vital for hormone balance, cardiovascular health, and metabolic regularity. As traditional approaches lose effectiveness over time, this novel approach explores data collection and AI-driven analytics to address these challenges.

Keywords
Hysterectomy
AI-Driven Approach
Wearable Sensors
LSTM
CNN
Ultrasound Imaging
Manuscript
Poster
poster-sciforum_12864.pdf
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