Deborah S Schafer

US Patent:

20130137940, May 30, 2013

Filed:

Nov 21, 2012

Appl. No.:

13/683870

Inventors:

Deborah Lawrence Schafer - Menlo Park CA, US

Assignee:

Tempsync - Menlo Park CA

International Classification:

A61B 10/00

US Classification:

600301

Abstract:

A fertility monitoring apparatus measures body temperature and saliva or cervical fluid resistivity. The clinical device includes a sensor, processor and transmitter to wirelessly deliver information to a computerized device such as a smart phone, tablet, or laptop for further analysis and display. The computerized device is programmed with software to receive, analyze, display, and/or transmit the raw or processed information. The programmed computerized device computes fertility information of the user. A central fertility platform includes a programmed computing device, and a database of fertility information from multiple users. Input from user accounts are fed into the platform and stored in the database. Exemplary inputs include the user's age, cycle length, diagnosis of fertility, reproductive health information. The platform both provides feedback to the user and learns from the data collected to improve upon or self-modify calculations using machine learning, artificial intelligence, and data mining approaches.

US Patent:

20140378863, Dec 25, 2014

Filed:

Aug 29, 2014

Appl. No.:

14/473853

Inventors:

- Menlo Park CA, US
Deborah Lawrence Schafer - Menlo Park CA, US

International Classification:

A61B 10/00

US Classification:

600551

Abstract:

A fertility monitoring apparatus measures body temperature and saliva or cervical fluid resistivity. The clinical device includes a sensor, processor and transmitter to wirelessly deliver information to a computerized device such as a smart phone, tablet, or laptop for further analysis and display. The computerized device is programmed with software to receive, analyze, display, and/or transmit the raw or processed information. The programmed computerized device computes fertility information of the user. A central fertility platform includes a programmed computing device, and a database of fertility information from multiple users. Input from user accounts are fed into the platform and stored in the database. Exemplary inputs include the user's age, cycle length, diagnosis of fertility, reproductive health information. The platform both provides feedback to the user and learns from the data collected to improve upon or self-modify calculations using machine learning, artificial intelligence, and data mining approaches.