System and method for monitoring a person for signs of sickness

1 . A method of monitoring a living person to detect illness, comprising:

acquiring, via a monitoring unit, sensor data, wherein the sensor data comprises:

radar data from a radar device of the monitoring unit,

image data from an image device of the monitoring unit, and

audio data from an audio device of the monitoring unit;

detecting, based at least in part on the sensor data, first biometric data representative of the living person;

determining, based at least in part on the first biometric data, a plurality of sleep periods, during which the living person is asleep, throughout a first time period;

determining, based at least in part on the first biometric data, for each sleep period, at least one non-REM sleep stage;

determining, based at least in part on the first biometric data, for each sleep period, at least one non-REM sleep stage-when the living person is sleeping and outside of REM sleep;

generating, from the first biometric data collected during the at least one non-REM sleep stage of each sleep period throughout the first time period, at least one first biometric statistical metric,

wherein the at least one first biometric statistical metric comprises a mean value of the first biometric data collected during the at least one non-REM sleep stage of each sleep period throughout the first time period;

generating, from the first biometric data collected during the at least one non-REM sleep stage of each sleep period throughout the first time period, at least one first biometric statistical deviation;

wherein the at least one first biometric statistical deviation of the first biometric data collected during the at least one non-REM sleep stage of each sleep period throughout the first time period;

producing a biometric statistical profile based at least in part on the at least one first biometric statistical metric, the at least one first biometric statistical deviation, and at least one margin of error:

detecting, based at least in part on the sensor data, second biometric data representative of the living person;

determining, based at least in part on the second biometric data, at least one subsequent sleep period during which the living person is asleep;

determining, based at least in part on the second biometric data, for the subsequent sleep period, at least one non-REM sleep stage;

subsequently determining when the living person is sleeping and outside of REM sleep, based on second sensor data; comprising

wherein the subsequent sleep period is subsequent to the first time period;

determining, for the at least one non-REM sleep stage during the subsequent sleep period, an illness in the living person based at least in part on a comparison of:

the first biometric statistical profile, and

the second biometric data of the subsequent sleep period during the at least one non-REM sleep stage; and

outputting a warning indicative of the illness in the living person in response to a deviation of the second biometric data from the first biometric statistical profile.

2 . The method of claim 1 , wherein the first biometric data includes a first respiration rate.

3 . The method of claim 1 , wherein the first biometric data includes a first heart rate.

4 . The method of claim 1 , wherein the outputting includes outputting to a remote electronic device the warning that deviation exceeds a threshold relative to the biometric statistical profile.

5 . The method of claim 1 , wherein the first image data includes at least one of visible light data or infrared light data.

6 . The method of claim 1 , wherein the monitoring unit includes a light source, wherein the first image data is based on a reflection of light output by the light source.

7 . A method of monitoring a living person to detect illness, comprising:

providing a monitoring unit, wherein the monitoring unit includes

a radar device to receive radar data,

an image device to receive image data, and

an audio device to receive audio data;

determining a first time period during which the living person is sleeping and outside of REM sleep, based on first sensor data comprising:

first radar data from the radar device,

first image data from the image device, and

first audio data from the audio device,

generating, from the first sensor data collected during the first time period, a first biometric statistical distribution based at least in part on first biometric data derived from the first sensor data of the living person,

determining a second time period during which the person is sleeping and outside of REM sleep, based on second sensor data comprising

second radar data from the radar device,

second image data from the image device, and

second audio data from the audio device,

wherein the second time period is subsequent to the first time period;

generating, for the second time period, second biometric data derived from the second sensor data of the living person,

wherein the second biometric data includes at least one of a second respiration rate or a second heart rate;

determining, for the second time period, an illness in the living person based at least in part on a comparison of:

a first biometric statistical distribution of the first time period during which the living person is sleeping and outside of REM sleep, the first biometric statistical distribution comprising at least one first mean value and at least one first statistical deviation multiplied by at least one first error factor, and

at least one second mean value of the second time period during which the living person is sleeping and outside of REM sleep;

determining, based on the comparison, that a deviation exceeds a threshold, the deviation being between the at least one second mean value and the first biometric statistical distribution; and

outputting warning data, indicative of the person being ill, in response to the determining that the deviation exceeds the threshold.

8 . The method of claim 7 , further comprising receiving, with an electronic device, the warning data, wherein the electronic device is separate from the monitoring unit.

9 . The method of claim 7 , wherein the first biometric data includes the first respiration rate, wherein the second biometric data includes the second respiration rate.

10 . The method of claim 7 , wherein the first biometric data includes the first heart rate, wherein the second biometric data includes the second heart rate.

11 . The method of claim 7 , wherein the first image data includes at least one of visible light data or infrared light data.

12 . The method of claim 7 , wherein the monitoring unit includes a light source, wherein the light source outputs at least one of visible light or infrared light, wherein the first image data is based on a reflection of at least one of the visible light or the infrared light.

13 . The method of claim 7 , wherein the monitoring unit includes a light source, wherein the light source outputs visible light and infrared light, wherein the first image data is based on a first reflection of the visible light and a second reflection of the infrared light.

14 . A method of monitoring a living person to detect illness, comprising:

providing a remote monitoring unit, wherein the remote monitoring unit comprises:

a radar device to output a radar wave and receive radar data corresponding to a reflection of the output radar wave,

an image device to output light and receive image data corresponding to a reflection of the output light, and

an audio device to receive audio data;

determining at least one first time period during which the living person is sleeping and outside of REM sleep, based on first sensor data comprising a combination of:

first radar data corresponding to a reflection of a first radar wave output by the monitoring unit,

first image data corresponding to a reflection of first light output by the monitoring unit, and

first audio data from the audio device,

generating, from the first sensor data collected during the at least one first time period, a first heart rate statistical distribution based at least in part on first heart rate data derived from the first sensor data of the living person, the first heart rate statistical distributions comprising a first heart rate mean value and a first heart rate deviation associated with the at least one first time period;

generating, from the first sensor data collected during the at least one first time period, a first respiration rate statistical distribution based at least in part on first respiration rate data derived from the first sensor data of the living person, the first respiration rate statistical distributions comprising a first respiration rate mean value and a first respiration rate deviation associated with the at least one first time period;

generating a first biometric statistical profile associated with normal sleeping biometrics of the living person, the first biometric statistical profile being based at least in part on the first heart rate statistical distribution and the first respiration rate statistical distribution;

determining a second time period during which the person is sleeping and outside of REM sleep, based on second sensor data comprising:

second radar data from the radar device,

second image data from the image device, and

second audio data from the audio device,

wherein the second time period is subsequent to the first time period;

generating, from the second sensor data collected during the second time period, second biometric data derived from the second sensor data of the living person, the second biometric data comprising at least one second heart rate value and at least one second respiration rate value;

determining, for the second time period, an illness in the living person based at least in part on a comparison of:

the first biometric statistical profile of the first time period during which the living person is sleeping and outside of REM sleep, and

the second biometric data of the second time period during which the living person is sleeping and outside of REM sleep; and

determining, based on the comparison, that a deviation exceeds a threshold, the deviation being between the second biometric data and the first biometric profile; and

outputting an alarm indicative of the person being ill in response to the determining that the deviation exceeds the threshold.

15 . The method of claim 14 , further comprising receiving, with an electronic device, warning data associated with the alarm, wherein the electronic device is separate from the monitoring unit; and outputting, by the electronic device, a warning signal, indicative of receipt of the warning data.

16 . The method of claim 14 , wherein the first biometric data includes a first respiration rate, wherein the second biometric data includes the second respiration rate.

17 . The method of claim 14 , wherein the first biometric data includes a first heart rate, wherein the second biometric data includes the second heart rate.

18 . The method of claim 14 , wherein the first image data includes at least one of visible light data or infrared light data.

19 . The method of claim 14 , wherein the monitoring unit includes a light source, wherein the light source outputs at least one of visible light and infrared light, wherein the first image data is based on a reflection of at least one of the visible light or the infrared light.

20 . The method of claim 14 , wherein the monitoring unit includes a light source, wherein the light source outputs visible light and infrared light, wherein the first image data is based on a first reflection of the visible light and a second reflection of the infrared light.