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The Ovulation Hormonal Imbalance Recognition System is a non-invasive, real-time monitoring solution that uses the ESP32 microcontroller's processing power and connectivity features. The system uses a TDS sensor to measure electrical conductivity, a saliva-based solution that indicates ionic concentration changes with hormonal levels during ovulation. The system simulates a saliva solution, which is calibrated to replicate the ionic characteristics of natural saliva. The ESP32 microcontroller processes this data and displays it on an OLED screen, providing users with clear visual feedback for their hormonal status. The system also incorporates the ThingSpeak IoT platform for cloud-based data management and real-time data uploading and visualization. This allows healthcare professionals to monitor changes in patients’ hormonal levels remotely and trace trends over time, critical for early detection of hormonal imbalances and timely medical interventions. The system provides numerous benefits compared to conventional approaches, such as invasive testing or frequent visits to healthcare facilities, by providing a non-invasive, efficient, and accessible alternative. It improves patient comfort and optimizes reproductive health management by enabling continuous and convenient monitoring. The system's practical applications include improving reproductive health management, enhancing patient outcomes, and offering sophisticated non-invasive solutions through modern technology.

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Analysis of Hormonal Imbalance Using Saliva’s Conductivity Test

  • 会议论文

  • 发表日期：

    2026年

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  • H. G. Nanditha,
  • S. Nishita,
  • G. R. Kavana,
  • Krishnan Bandyopadhyay

摘要

The Ovulation Hormonal Imbalance Recognition System is a non-invasive, real-time monitoring solution that uses the ESP32 microcontroller's processing power and connectivity features. The system uses a TDS sensor to measure electrical conductivity, a saliva-based solution that indicates ionic concentration changes with hormonal levels during ovulation. The system simulates a saliva solution, which is calibrated to replicate the ionic characteristics of natural saliva. The ESP32 microcontroller processes this data and displays it on an OLED screen, providing users with clear visual feedback for their hormonal status. The system also incorporates the ThingSpeak IoT platform for cloud-based data management and real-time data uploading and visualization. This allows healthcare professionals to monitor changes in patients’ hormonal levels remotely and trace trends over time, critical for early detection of hormonal imbalances and timely medical interventions. The system provides numerous benefits compared to conventional approaches, such as invasive testing or frequent visits to healthcare facilities, by providing a non-invasive, efficient, and accessible alternative. It improves patient comfort and optimizes reproductive health management by enabling continuous and convenient monitoring. The system's practical applications include improving reproductive health management, enhancing patient outcomes, and offering sophisticated non-invasive solutions through modern technology.