Systems and methods for determining subject positioning and vital signs

1. A method of automatically monitoring a position and vital signs of a subject supported by a patient support apparatus, the method comprising:

receiving, by a processing device of a monitoring device, long wave infrared (LWIR) image data from a first imaging component of the monitoring device and near infrared (NIR) image data from a second imaging component of the monitoring device;

determining, by the processing device, one or more boundaries of the patient support apparatus from the NIR image data;

constructing, by the processing device, one or more virtual boundaries that correspond to the one or more boundaries of the patient support apparatus;

determining, by the processing device, a location of the subject with respect to the one or more virtual boundaries from at least one of the LWIR image data and the NIR image data;

determining, by the processing device, a facial temperature and a heart rate of the subject from the LWIR image data;

determining, by the processing device, a respiration rate of the subject from at least one of the LWIR image data and the NIR image data;

transmitting the LWIR image data to a user device;

transmitting the NIR image data to the user device;

transmitting a composite of the LWIR image data and the NIR image data to the user device;

display the LWIR image data as a first image at a first display area on a user device;

display the NIR image data as a second image at a second display area on the user device; and

display a composite of the LWIR image data and the NIR image data as a third image at a third display area on the user device simultaneously with the first image and the second image.

2. The method of claim 1 , further comprising:

transmitting, by the processing device, at least one of the following to the user device: the LWIR image data, the NIR image data, data corresponding to the one or more virtual boundaries, data corresponding to the location of the subject, data corresponding to the facial temperature of the subject, data corresponding to the heart rate of the subject, and data corresponding to the respiration rate of the subject; and

directing, by the processing device, one or more light emitting components to emit NIR light towards the subject, wherein determining the heart rate of the subject comprises determining, from the NIR image data, an amount of the NIR light emitted by the one or more light emitting components that is absorbed by oxygenated blood present in capillaries of a face of the subject over a period of time, wherein the amount of NIR light that is absorbed cycles between a maximum amount absorbed and a minimum amount absorbed, and wherein a heartbeat corresponds to each cycle.

3. The method of claim 1 , wherein determining the one or more boundaries of the patient support apparatus from the NIR image data comprises utilizing an object recognition algorithm to determine the patient support apparatus from the NIR image data based on a shape and a size of the patient support apparatus and determine one or more edges of the patient support apparatus.

4. The method of claim 1 , wherein determining the location of the subject with respect to the one or more virtual boundaries comprises utilizing one or more of a facial recognition algorithm and an object recognition algorithm to determine a subject head position from at least one of the LWIR image data and the NIR image data, establishing a point that corresponds to the subject head position, and tracking movement of the point as the subject head position changes.

5. The method of claim 1 , wherein determining the respiration rate of the subject comprises utilizing an object detection algorithm to identify a subject chest cavity from the at least one of the LWIR image data and the NIR image data, and monitoring a chest expansion and contraction movement over a period of time.

6. A system for monitoring a position and vital signs of a subject supported by a patient support apparatus, the system comprising:

a user device; and

a monitoring device comprising:

a first imaging component that obtains long wave infrared (LWIR) image data of the subject;

a second imaging component that obtains near infrared (NIR) image data of the subject and the patient support apparatus;

a processing device; and

a non-transitory, processor-readable storage medium comprising one or more programming instructions thereon that, when executed, cause the processing device to:

receive LWIR image data from the first imaging component and NIR image data from the second imaging component,

determine one or more boundaries of the patient support apparatus from the NIR image data,

construct one or more virtual boundaries that correspond to the one or more boundaries of the patient support apparatus,

determine a location of the subject with respect to the one or more virtual boundaries from at least one of the LWIR image data and the NIR image data,

determine a facial temperature of the subject from the LWIR image data,

determine a heart rate of the subject from the NIR image data,

determine a respiration rate of the subject from at least one of the LWIR image data and the NIR image data,

transmit the LWIR image data to the user device,

transmit the NIR image data to the user device, and

transmit a composite of the LWIR image data and the NIR image data to the user device,

wherein the user device is programmed to:

display the LWIR image data as a first image at a first display area on the user device;

display the NIR image data as a second image at a second display area on the user device; and

display a composite of the LWIR image data and the NIR image data as a third image at a third display area on the user device simultaneously with the first image and the second image.

7. The system of claim 6 , further comprising network interface hardware that communicatively couples the monitoring device to a network, wherein the non-transitory, processor-readable storage medium further includes one or more programming instructions that, when executed, cause the processing device to transmit at least one of the following via the network interface hardware to the user device: the LWIR image data, the NIR image data, data corresponding to the one or more virtual boundaries, data corresponding to the location of the subject, data corresponding to the facial temperature of the subject, data corresponding to the heart rate of the subject, and data corresponding to the respiration rate of the subject.

8. The system of claim 6 , further comprising one or more light emitting components that emit NIR light, wherein the non-transitory, processor-readable storage medium further includes one or more programming instructions that, when executed, cause the processing device to direct the one or more light emitting components to emit the NIR light towards the subject.

9. The system of claim 8 , wherein the one or more programming instructions that, when executed, cause the processing device to determine the heart rate of the subject further cause the processing device to determine, from the NIR image data, an amount of the NIR light emitted by the one or more light emitting components that is absorbed by oxygenated blood present in capillaries of a face of the subject over a period of time, wherein the amount of NIR light that is absorbed cycles between a maximum amount absorbed and a minimum amount absorbed, and wherein a heartbeat corresponds to each cycle.

10. The system of claim 6 , wherein:

the first imaging component comprises a first optical axis;

the second imaging component comprises a second optical axis;

the first imaging component is oriented such that the first optical axis forms a first angle relative to a surface of the patient support apparatus;

the second imaging component is oriented such that the second optical axis forms a second angle relative to the surface of the patient support apparatus; and

the first angle is different from the second angle.