US 12,144,656 B2
Personal health monitoring
Rickard Ljung, Helsingborg (SE); Claes Nilsson, Lund (SE); Peter Karlsson, Lund (SE); and Torbjörn Grahm, Malmö (SE)
Assigned to Sony Corporation, Tokyo (JP)
Appl. No. 16/759,618
Filed by Sony Corporation, Tokyo (JP)
PCT Filed Nov. 22, 2017, PCT No. PCT/EP2017/080133
§ 371(c)(1), (2) Date Apr. 27, 2020,
PCT Pub. No. WO2019/101310, PCT Pub. Date May 31, 2019.
Prior Publication US 2020/0281536 A1, Sep. 10, 2020
Int. Cl. A61B 5/00 (2006.01); G08B 21/04 (2006.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); A61B 5/369 (2021.01); G08B 21/18 (2006.01)
CPC A61B 5/7246 (2013.01) [A61B 5/7425 (2013.01); G08B 21/0453 (2013.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 5/0205 (2013.01); A61B 5/02055 (2013.01); A61B 5/021 (2013.01); A61B 5/02405 (2013.01); A61B 5/0816 (2013.01); A61B 5/1112 (2013.01); A61B 5/1117 (2013.01); A61B 5/14532 (2013.01); A61B 5/14542 (2013.01); A61B 5/369 (2021.01); A61B 5/4266 (2013.01); A61B 5/4818 (2013.01); A61B 5/4866 (2013.01); A61B 5/746 (2013.01); G08B 21/182 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for monitoring a user's health condition based on one or more sensors that are associated with the user, said method comprising:
obtaining sensor data from at least one computer-operable sensor of the one or more sensors,
generating, based on the sensor data from the at least one computer-operable sensor, measurement values of a primary parameter associated with the user's health condition and being physiological or biometric data, the measurement values of the primary parameter being raw or refined sensor data obtained by the sensor,
generating, based on the sensor data from the at least one computer-operable sensor, measurement values of a default set of secondary parameters related to the primary parameter and being physiological or biometric data, the measurement values of the default set of secondary parameters being raw or refined sensor data obtained by the sensor,
analyzing the measurement values of the primary parameter and the measurement values of the default set of secondary parameters to determine a level of correlation of each secondary parameter of the default set of secondary parameters to the primary parameter,
identifying, among the default set of secondary parameters, one or more personalized secondary parameters based on the respective level of correlation of each secondary parameter of the default set of secondary parameters with the primary parameter, and
presenting the one or more personalized secondary parameters to the user on a display module for the user to monitor the user's health condition,
wherein said analyzing comprises: computing a relevance score for each of the respective secondary parameters in the default set of secondary parameters, and identifying the one or more personalized secondary parameters as a function of the relevance score of each of the respective secondary parameters.