METHOD AND SYSTEM FOR ESTIMATION OF STRESS OF A PERSON USING PHOTOPLETHYSMOGRAPHY
First Claim
1. A method for estimating stress of a person, the method comprising:
- creating, by a processor, a numerical solution to mathematical model of a blood pressure (BP) regulation;
creating, by the processor, a numerical solution to a lumped mathematical model of a radial artery;
creating, by the processor, a numerical solution to a partial differential equation (PDE) model of the radial artery;
generating, by the processor, an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery;
training, by the processor, the inference engine using an artificial neural network technique, wherein the training results in a trained inference engine;
sensing a photo-plethysmograph (PPG) signal of a person using PPG sensor;
removing the baseline wandering of the PPG signal;
extracting, by the processor, Fourier components of the PPG signal to generate a preprocessed PPG signal;
providing, the preprocessed PPG signal to the trained inference engine; and
generating a stress parameter by the inference engine based on the processed PPG signal.
1 Assignment
0 Petitions
Accused Products
Abstract
A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.
-
Citations
12 Claims
-
1. A method for estimating stress of a person, the method comprising:
-
creating, by a processor, a numerical solution to mathematical model of a blood pressure (BP) regulation; creating, by the processor, a numerical solution to a lumped mathematical model of a radial artery; creating, by the processor, a numerical solution to a partial differential equation (PDE) model of the radial artery; generating, by the processor, an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery; training, by the processor, the inference engine using an artificial neural network technique, wherein the training results in a trained inference engine; sensing a photo-plethysmograph (PPG) signal of a person using PPG sensor; removing the baseline wandering of the PPG signal; extracting, by the processor, Fourier components of the PPG signal to generate a preprocessed PPG signal; providing, the preprocessed PPG signal to the trained inference engine; and generating a stress parameter by the inference engine based on the processed PPG signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A system for estimating a stress level of a person in real time, the system comprising:
-
a PPG sensor for sensing a photo-plethysmograph (PPG) signal of a person; a preprocessor configured to preprocess the PPG signal to generate a processed PPG signal; and a memory; a processor in communication with the memory, wherein the processor configured to perform the steps of; creating a numerical solution to mathematical model of a blood pressure (BP) regulation, creating a numerical solution to lumped mathematical model of a radial artery, creating a numerical solution to partial differential equation (PDE) model of the radial artery, generating an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery, training the inference engine using an artificial neural network technique, wherein the training results in a trained inference engine, and generating a stress parameter by the trained inference engine based on the processed PPG signal. - View Dependent Claims (10, 11)
-
-
12. A non-transitory computer-readable medium having embodied thereon a computer program for estimating stress of a person, the method comprising:
-
creating, by a processor, a numerical solution to mathematical model of a blood pressure (BP) regulation; creating, by the processor, a numerical solution to a lumped mathematical model of a radial artery; creating, by the processor, a numerical solution to a partial differential equation (PDE) model of the radial artery; generating, by the processor, an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery; training, by the processor, the inference engine using an artificial neural network technique, wherein the training results in a trained inference engine; sensing a photo-plethysmograph (PPG) signal of a person using PPG sensor; removing the baseline wandering of the PPG signal; extracting, by the processor, Fourier components of the PPG signal to generate a preprocessed PPG signal; providing, the preprocessed PPG signal to the trained inference engine; and generating a stress parameter by the inference engine based on the processed PPG signal.
-
Specification