Wearable menstrual cycle sensor using inverted spectroscopy of saliva

Technology
In development
Company

Introducing a wearable sensor that monitors estrogen and progesterone levels through non-invasive saliva analysis. Utilizing spectral optical sensing and machine learning, this lightweight device integrates with smartphones for real-time hormonal tracking.

Overview

This innovative wearable sensor offers a non-invasive solution for monitoring menstrual cycle hormones by analyzing saliva samples. Leveraging spectral optical sensing and machine learning, this device provides real-time insights into estrogen and progesterone levels, vital for tracking the menstrual cycle phases. Compact and lightweight, akin to a smartwatch, it connects seamlessly with a smartphone app for everyday use.

Technical specifications

The sensor utilizes a combination of tailored LED lights and a broadband detector, alongside a machine learning-based calibration model. It is designed for Bluetooth Low Energy (BT-LE) connectivity, enabling easy integration with mobile devices. The development process involves building a spectral database of hormonal levels and transferring these insights into a prototype using the ScanCorder® platform. The device aims to deliver high prediction accuracy through its multispectral approach.

Technology readiness level

Currently at Technology Readiness Level 5, the sensor is in the prototype development and validation phase. Future steps include tailoring the spectral design and optimizing hardware and software components, with the goal of finalizing and deploying a functional prototype.


About Compolytics

Compolytics GmbH is a German-based technology company that specializes in innovative sensor technologies and physics-aware machine learning for industrial and consumer applications. The company develops and markets mobile and benchtop sensor technologies, including its proprietary ScanCorder line, which utilizes a unique measurement principle called inverted spectroscopy. This approach reverses traditional spectroscopy by using sequential monochromatic lighting and photodetectors to enable non-invasive, real-time biochemical analysis through hyperspectral and multispectral optical sensing. The company also integrates its hardware with a software ecosystem, CICADA, which includes a cloud-based dashboard and a blockchain-based smart contract framework for Software-as-a-Service monetization.

These solutions are designed to provide cost-efficient, flexible, and high-precision analytical capabilities for industries such as manufacturing, food processing, and agriculture. By offering tailored calibration models and hardware adaptations, Compolytics helps partners and customers address specific measurement challenges in confined or field-based environments. The company actively collaborates on research initiatives involving optical spectroscopy, AI-driven data curation, and microstructure analysis, aiming to enhance the innovation and precision of industrial sensor systems globally.

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