Schmitt Trigger for Ovulation Detection using Raindrop Splash Algorithm in Basal Body Temperature

Abstract

Ovulation can be predicted in many ways; one way is by using the Basal Body Temperature (BBT). It is measured the exact moment the women wake up. The study was able to predict the ovulation day by using a Schmitt Trigger circuit and an algorithm named Raindrop Splash. The Schmitt Trigger circuit is placed in a thermally isolated system to test the validity of the circuit. The thermally isolated system acts as the body of the respondents. The simulated temperature from the Raindrop Splash Algorithm checks if there is an abrupt rise in temperature in the circuit and if there is a continuous increase of temperature as time goes by. The abrupt rise in temperature according to the algorithm is the same as the ovulation day. The researchers were able to come up with a printed circuit board with Schmitt Trigger comparator circuit which is configured for ovulation detection. The PCB circuit is tested in a thermally isolated integrated system in which the temperature is varied from 33°C to 38°C which is also the range of body temperature with tolerance. The researchers were also able to design an ovulation detection integrated circuit with Schmitt Trigger comparator for lower power consumption.