Monitoring physiological parameters

A method for monitoring a physiological parameter associated with a subject using a hand held device, the method comprising:

• obtaining a plurality of sample photoplethysmographic (PPG) features associated with a sample subject, from a video of a body part of the sample subject;
• selecting, from among the plurality of sample PPG features, at least one relevant sample PPG feature associated with the physiological parameter, based on a ground truth value of the physiological parameter for the subject;
• and
• determining, based on only the at least one relevant sample PPG feature and the ground truth value of the physiological parameter, a mathematical model indicative of a correlation between the relevant sample PPG feature and the physiological parameter, wherein the mathematical model is deployed for monitoring the physiological parameter in real time, the physiological parameter being at least one of a blood pressure (BP) and electrocardiograph (ECG) features.

A modeling system for monitoring physiological parameters associated with a subject, the modeling system comprising:

• a processor;
• a processing module coupled to the processor to obtain a plurality of sample photoplethysmographic (PPG) features associated with a sample subject, wherein the sample PPG features are extracted from a video of a body part of the sample subject;
• a feature selection module coupled to the processor to select at least one relevant sample PPG features associated with the physiological parameter, from among the plurality of sample PPG features, based on a ground truth value of the physiological parameter;
• and
• a modeling module coupled to the processor to determine, based on the at least one relevant sample PPG feature and the ground truth value of the physiological parameter, a mathematical model indicative of a correlation between the relevant sample PPG feature and the physiological parameter, wherein the mathematical model is adapted for monitoring the physiological parameter in real time.

The modeling system, wherein the feature selection module:

• determines a correlation coefficient for each of the plurality of Sample PPG features, indicative of a relation between a Sample PPG feature and a ground truth value of the physiological parameter;
• ascertains a gain factor for each of the plurality of Sample PPG features, based on the correlation coefficient;
• and
• selects the relevant Sample PPG features from among the plurality of Sample PPG features, based on the gain factor, wherein the relevant Sample PPG features are deployed for monitoring the physiological parameter in real time.

A physiological parameter monitoring device for monitoring physiological parameters associated with a subject, the physiological parameter monitoring device comprising:

• a processor;
• a monitoring module coupled to the processor to,
• obtain a mathematical model indicative of a correlation between relevant sample PPG feature and the physiological parameter to be monitored, wherein the relevant sample PPG features are selected from among a plurality of sample PPG features based on influence of the physiological parameter on the plurality of sample PPG features;
• ascertain test PPG features associated with a test subject from a video of a body part of the test subject, the video being captured using a camera of the physiological parameter monitoring device;
• and
• monitor the physiological parameter for the test subject, based on the test PPG features and the mathematical model.

A non-transitory computer-readable medium comprising instructions executable by a processing resource to:

• obtain a plurality of sample photoplethysmographic (PPG) features associated with a sample subject, from a video of a body part of the sample subject;
• select, from among the plurality of sample PPG features, at least one relevant sample PPG feature associated with the physiological parameter, based on a ground truth value of the physiological parameter for the subject;
• and
• determine, based on the at least one relevant sample PPG feature and the ground truth value of the physiological parameter, a mathematical model indicative of a correlation between the relevant sample PPG feature and the physiological parameter, wherein the mathematical model is adapted for monitoring the physiological parameter in real time.