KUALA LUMPUR (March 24, 2017) – What if you can use a smart fertility tracker using IOT which can take the guess-work out of getting pregnant? This is what interests Favoriot Sdn Bhd, the latest IoT startup in Malaysia to enhance the Smart Health scene in Malaysia.

A team of researchers led by Dr. Farhanahani Mahmud from Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM),  proposed a project called “IoT-based Smart Basal Body Temperature (BBT) monitoring device for Women’s Healthcare.” Favoriot provides an IoT platform and the necessary IoT expertise to assist in delivering the project’s objectives.

However, most of the commercial Basal Body Temperature (BBT) devices cannot directly derive the information needed, where the user need to plot her temperature readings manually into a BBT chart every day, and she also need to interpret the changes in the BBT chart by herself or to set several appointments with a doctor for further consultation.

Therefore, through this research, a development of an Internet of Things (IoT)-based automatic BBT charting and monitoring system with a fuzzy logic computational intelligence method will be done to improve the current practice. This research will eventually help women effectively monitor their menstrual cycle through automatic BBT charting and conveniently share the data with a doctor for their health care consultation via the IoT.

This work could enhance women’s understandings of their own unique menstrual cycle on a deeper level towards a better healthcare and to the best of our knowledge, this will be the first local based product for the automatic BBT charting and monitoring with a smart fertility prediction system.

The collaboration also seeks for more funding to support the development of this project into a commercial system.


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