Systems and methods for monitoring quality of life parameters using non-contact sensors

A method comprising:

• transmitting, with a first non-contact sensor, signals towards a subject;
• receiving, with the first non-contact sensor, signals reflected from the subject;
• generating, with the first non-contact sensor, first measured data based on the transmitted and received signals;
• receiving, with one or more processors, the first measured data;
• distinguishing, with the one or more processors, periods of the first measured data in which respiratory-related movement is predominant from periods of the first measured data in which bodily movement is predominant based on an amplitude value and a frequency value derived from the first measured data;
• obtaining, with the one or more processors, respiratory data from the periods of the first measured data in which respiratory-related movement is predominant;
• obtaining, with the one or more processors, movement data from the periods of the first measured data in which bodily movement is predominant;
• calculating, with the one or more processors, a quality of life index based on the respiratory data and the movement data;
• and
• generating, with the one or more processors, feedback based on the calculated quality of life index.

A system comprising:

• a non-contact sensor configured to receive a signal reflected from a subject and obtain measured data from the reflected signal;
• an input device configured to collect subjective data associated with the subject, wherein the subjective data comprises sleep quality data;
• one or more processors;
• and
• a non-transitory computer readable storage medium having instructions that, when executed by the one or more processors, cause the one or more processors to:
• receive the measured data from the non-contact sensor;
• receive the subjective data from the input device;
• distinguish periods of the measured data in which respiratory-related movement is predominant from periods of the measured data in which bodily movement is predominant based on an amplitude value and a frequency value derived from the measured data;
• obtain respiratory data from the periods of the measured data in which respiratory-related movement is predominant;
• obtain movement data from the periods of the measured data in which bodily movement is predominant;
• calculate a sleep quality of life (SQOL) index based on the subjective data, the respiratory data, and the movement data;
• and
• generate feedback based on the calculated SQOL index.