| abstract |
Embodiments of a vaginal temperature sensing apparatus, a visually sense-able battery power-on indicator ( 16 ), manufacturing with cure temperatures that protect a battery, substantially error-free, user-initiated device activation componentry ( 30 ) to start battery power, and a timer to automatically terminate flow of battery power. Data can by an automatic data transform recalculator ( 138 ) with body temperature dips in transformed and recalculated diurnal high body temperatures predict an ovulation event and provide an indication through a zenith based ovulation indicator ( 106 ). Systems can include neural network based artificial intelligence to automatically self-improve by using historical or even other, multi user data and user input and improve its indication result. |