Sleep tracking and vital sign monitoring using low power radio waves

A method for radar-based measurement of vital signs, the method comprising:

• analyzing by a processing system comprising one or more processors, radar waveform data;
• performing, by the processing system, using a trained machine learning arrangement, a classification based on multiple spectral characteristics of the analyzed radar waveform data to determine a state of a monitored region, wherein:
• the trained machine learning arrangement is trained using a set of training data in which the set of training data is classified as mapping multiple spectral characteristics to ground-truth user states;
• and
• the trained machine learning arrangement classifies the analyzed radar waveform data into a plurality of states, comprising a first state in which a user is present and is performing vitals-only movement and a second state which is different from the first state;
• permitting, by the processing system based on the monitored region being in the first state, vital sign monitoring;
• determining, by the processing system using the trained machine learning arrangement based on analyzing the radar waveform data, one or more vital signs of the user present within the monitored region;
• and
• recording, by the processing system to a non-transitory processor-readable medium, an indication of the one or more determined vital signs of the user.

A non-transitory processor-readable medium comprising process-readable instructions configured to cause one or more processors to:

• analyze radar waveform data;
• perform, using a trained machine learning arrangement, a classification based on multiple spectral characteristics of the analyzed radar waveform data to determine a state of a monitored region, wherein:
• the trained machine learning arrangement is trained using a set of training data in which the set of training data is classified as mapping multiple spectral characteristics to ground-truth user states;
• and
• the trained machine learning arrangement classifies the analyzed radar waveform data into a plurality of states, comprising a first state in which a user is present in the monitored region and is performing vitals-only movement and a second state which is different than the first state;
• initiate, based on the state of the monitored region being in the first state, vital sign monitoring of the user;
• determine, using the trained machine learning arrangement based on the analyzing the radar waveform data, one or more vital signs of the user present within the monitored region;
• and
• record the one or more determined vital signs of the user.