System and a method for non-invasive monitoring of estrogen

Abstract

An electronic system for non-invasive monitoring of estrogen of a female human comprises a wearable device and a processor. The wearable device includes a first sensor system configured to be worn in contact with the skin of the female human and to determine a level of perfusion of the female human. The processor is configured to receive and store the level of perfusion of the female human from the first sensor system for a respective point in time. The processor is further configured to determine a change in the level of perfusion of the female human, using the levels of perfusion of the female human stored for a plurality of respective points in time. Furthermore, the processor is configured to detect a change in estrogen level of the female human based on the change in the level of perfusion of the female human.

What is claimed is: 
     
         1 . An electronic system for non-invasive monitoring of effectiveness of a hormonal replacement therapy of a postmenopausal female human, the system comprising:
 a wearable device including a sensor system configured to be worn in contact with skin of the postmenopausal female human and to determine one or more physiological parameters of the postmenopausal female human; and   a processor configured to receive and store the physiological parameters of the postmenopausal female human from the sensor system for a respective point in time;   the processor being further configured to determine a change in the physiological parameters of the postmenopausal female human, using the physiological parameters of the postmenopausal female human stored for a plurality of respective points in time; and   the processor being further configured to detect a change in estrogen level of the postmenopausal female human based on the change in the physiological parameters of the postmenopausal female human, for determining the effectiveness of the hormonal replacement therapy of the postmenopausal female human.   
     
     
         2 . The electronic system of  claim 1 , wherein the sensor system is configured to determine a level of perfusion of the postmenopausal female human; and the processor is configured to receive and store the level of perfusion of the postmenopausal female human from the sensor system for a respective point in time, to determine a change in the level of perfusion of the postmenopausal female human, using the levels of perfusion of the postmenopausal female human stored for a plurality of respective points in time; and to detect the change in estrogen level of the postmenopausal female human based on the change in the level of perfusion of the postmenopausal female human. 
     
     
         3 . The electronic system of  claim 2 , wherein the processor is configured to determine the change in the level of perfusion of the postmenopausal female human by calculating a first derivative of a course of the level of perfusion. 
     
     
         4 . The electronic system of  claim 2 , wherein the processor is configured to determine the change in the level of perfusion of the postmenopausal female human by calculating a first derivative of a course of a perfusion index, the perfusion index being defined by an AC component of the level of perfusion normalized by a DC component of the level of perfusion. 
     
     
         5 . The electronic system of  claim 2 , wherein the processor is configured to determine the change in the level of perfusion of the postmenopausal female human over one or more set time intervals during a resting phase of the postmenopausal female human. 
     
     
         6 . The electronic system of  claim 1 , wherein the sensor system is configured to determine non-invasively the one or more physiological parameters of the postmenopausal female human, the one or more physiological parameters including at least one of: a level of perfusion, heart rate variability, heart rate, breathing rate, blood pressure, temperature, or bio-impedance. 
     
     
         7 . The electronic system of  claim 1 , wherein the processor is configured to determine a resting phase of the female human using the one or more physiological parameters of the postmenopausal female human. 
     
     
         8 . The electronic system of  claim 1 , wherein the processor is configured to receive and store one or more behavioral parameters of the postmenopausal female human from a mobile communication device, the one or more behavioral parameters including at least one of: activity level, number of social interactions, number of intercourses, communication style, or type of contacts; and the processor is configured to detect the change in estrogen level of the postmenopausal female human, using the one or more behavioral parameters of the postmenopausal female human. 
     
     
         9 . The electronic system of  claim 1 , wherein the electronic system further comprises a user interface, and the processor is configured to indicate on the user interface a detected change of estrogen level. 
     
     
         10 . The electronic system of  claim 9 , wherein the user interface comprises a display, and the processor is configured to indicate on the display an extent of change of estrogen level as at least one of: a numerical value or a graphical representation. 
     
     
         11 . The electronic system of  claim 1 , wherein the processor is arranged in the wearable device and configured to determine the change in estrogen level of the postmenopausal female human using the physiological parameters measured by the sensor system of the wearable device. 
     
     
         12 . The electronic system of  claim 1 , wherein the processor is arranged in an external system, separated from the wearable device, the wearable device further comprises a communication module configured to transmit the physiological parameters measured by the sensor system of the wearable device to the external system, and the processor is configured to determine the change in estrogen level of the postmenopausal female human using the physiological parameters received from the wearable device. 
     
     
         13 . The electronic system of  claim 12 , wherein the processor is configured to implement on the external system an online user platform, configured to provide to authorized users secured access to stored measurement data. 
     
     
         14 . A method of non-invasive monitoring of effectiveness of a hormonal replacement therapy of a postmenopausal female human, the method comprising:
 receiving in a processor from a sensor system of a wearable device one or more physiological parameters of the postmenopausal female human for a respective point in time;   storing, by the processor, the physiological parameters of the postmenopausal female human for the respective point in time;   determining, by the processor, a change in the physiological parameters of the postmenopausal female human, using the physiological parameters of the postmenopausal female human stored for a plurality of respective points in time; and   detecting, by the processor, a change in estrogen level of the postmenopausal female human based on the change in the physiological parameters of the postmenopausal female human, for determining the effectiveness of the hormonal replacement therapy of the postmenopausal female human.   
     
     
         15 . The method of  claim 14 , further comprising receiving in the processor from the sensor system of the wearable device the one or more physiological parameters of the postmenopausal female human including at least one of: a level of perfusion, heart rate variability, heart rate, breathing rate, blood pressure, temperature, or bio-impedance. 
     
     
         16 . The method of  claim 14 , further comprising the processor indicating on a user interface a detected change of estrogen level. 
     
     
         17 . A computer program product comprising a non-transitory computer readable medium having stored thereon computer program code configured to control one or more processors of a computerized system, such that the computerized system monitors effectiveness of a hormonal replacement therapy of a postmenopausal female human by performing the steps of:
 receiving from a sensor system of a wearable device one or more physiological parameters of the postmenopausal female human for a respective point in time; storing the physiological parameters of the postmenopausal female human for the respective point in time;   determining a change in the physiological parameters of the postmenopausal female human, using the physiological parameters of the postmenopausal female human stored for a plurality of respective points in time; and   detecting a change in estrogen level of the postmenopausal female human based on the change in the physiological parameters of the postmenopausal female human, for determining the effectiveness of the hormonal replacement therapy of the postmenopausal female human.   
     
     
         18 . The computer program product of  claim 17 , wherein the computer program code is further configured to control the one or more processors of the computerized system, such that the computerized system receives from the sensor system of the wearable device the one or more physiological parameters of the postmenopausal female human including at least one of: a level of perfusion, heart rate variability, heart rate, breathing rate, blood pressure, temperature, or bio-impedance. 
     
     
         19 . The computer program product of  claim 17 , wherein the computer program code is further configured to control the one or more processors of the computerized system, such that the computerized system indicates on a user interface a detected change of estrogen level. 
     
     
         20 . The computer program product of  claim 17 , wherein the computer program code is further configured to control the one or more processors of the computerized system, such that the computerized system implements an online user platform, configured to provide to authorized users secured access to stored measurement data.