Monitoring Volume changes and IgA protein in complex biological mixture of vaginal discharge as a real-time ovulation detection

The female body goes through various hormonal changes at each phase of the menstrual cycle every month. These hormonal changes result in detectable biophysical changes, such as skin temperature variations. Moreover, the chances of pregnancy are noticeably higher during the ovulation phase which is a 4-5 days window. Our product, will have sensors inside it to non-invasively monitor these biophysical changes from the surface of the body and determine which phase the user is in with high accuracy. As the result, women can use this personalized information to increase or decrease their chance of pregnancy in a non-hormonal, non-invasive, personalized and accurate, reusable, and easy-to-use manner. This project seeks to prove the feasibility of developing this wearable device and the accuracy of the sensors in taking the parameters.

Faculty Supervisor:

Bryan Koivisto;Gerd Grau

Student:

Partner:

Fibra Inc.

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Retail trade

University:

Toronto Metropolitan University; York University

Program:

Accelerate

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