A Study on Prediction of Menstruation and Ovulation Based on Basal Body Temperature Variation

Abstract

Basal body temperature (BBT) is well known vital index which helps women to estimate ovulation and fertility. In recent years, its network connected applications which propose new manners of BBT utilization have been launched while ICT has been advanced. With the view to such a trend of BBT utilization, authors also developed a new application which gives advices based on their BBT transit and their menstrual cycles to support women's healthcare in their daily life. This paper describes a prediction method of menstruation and ovulation which is built in the developed application. The proposal method predict menstruation and ovulation considering individual variation in menstruation period, hot phase, and basal body temperature transit. In addition, this paper reports analysis results of huge amount of dataset collected via the developed application. According to the results, menstrual cycles have week correlation with age and body mass index (BMI), and basal body temperature has relationship with air temperature. The results have possibilities to improve the proposal predictive method and help to develop new application functions which support women's lifestyle modification for their daily healthcare.