Health state trends for a consistent patient situation

• US 10,216,905 B2
• Filed: 01/27/2016
• Issued: 02/26/2019
• Est. Priority Date: 01/28/2015
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Rogers, Jeffrey L.
• Primary Examiner(s): Le, Linh Giang
• Application Number:
  US15/008,295
• Publication Number:
  US 20170351827A1
• Time in Patent Office: 1,126 Days
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/0255 Recording instruments specially adapted therefor
• CPC Class Codes: A61B 5/0507 using microwaves or terahertz waves
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1126 using a particular sensing technique
• CPC Class Codes: A61B 5/4566 Evaluating the spine A61B5/4561 takes precedence
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/6891 Furniture
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G01S 13/88 Radar or analogous systems specially adapted for specific applications electromagnetic prospecting or detecting of objects, e.g. near-field detection, G01V3/00
• CPC Class Codes: G01S 7/415 Identification of targets based on measurements of movement associated with the target
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

This document describes techniques and apparatuses enabling determination of health state trends for a consistent patient situation. Various noninvasive health monitors can be used to sense a patient'"'"'s situation and health states, including disease progression, at those states. These noninvasive health monitors may also act passively and in a patient'"'"'s normal course of life, which enhances many patient'"'"'s desire to submit to monitoring, as well as increase consistency of use, as in many cases the patient does little or nothing to cause his or her health monitoring and health-trend determination. With health states determined for a consistent patient situation, more accurate and more robust health trends can be determined.

Claims

1. A computer-implemented method comprising:

detecting, using one or more sensing devices of a sensing milieu contained in a bedroom, an automobile, a bathroom, an office, or a workplace, a first instance of an activity of a patient that is within a normal course of life of the patient, wherein said detecting is passive in that no explicit patient interaction with any of said one or more sensing devices is required, wherein said sensing devices are part of a color-sensing mirror, a pressure and electrical sensing mat, an ultrasonic bathtub, or an automobile rear-view minor and sense in a first modality, wherein said detecting is non-invasive, and wherein said activity that is within the normal course of life of the patient is walking, eating, working, exercising, driving, or talking;

responsive to said detecting said first instance of the activity, monitoring, using a radar-based monitoring device that senses in a second modality that is other than the first modality, said patient to detect a first health state of the patient associated with said activity, wherein said monitoring is carried out in temporal proximity to said first instance of the activity, wherein said monitoring is non-invasive, and wherein said monitoring is passive in that no explicit patient interaction with said radar-based monitoring device is required;

subsequently detecting, using said one or more sensing devices, multiple subsequent instances of said activity of the patient that is within said normal course of life of the patient, said subsequently detecting being passive and non-invasive;

subsequently monitoring, for each of said detected subsequent instances of said activity, said patient using said radar-based monitoring device to detect subsequent respective health states of the patient associated with said activity, wherein said subsequent monitoring is carried out in temporal proximity to said subsequent instances of the activity, respectively, and wherein said subsequent monitoring is non-invasive and passive;

processing said first and subsequent health states of the patient to determine a health state trend of the patient for said activity; and

providing the health state trend for said activity.

2. The computer-implemented method as recited in claim 1, wherein the first and subsequent health states are measures of an oxygen content of the patient'"'"'s blood or cardiac rhythm of the patient'"'"'s heart.

3. The computer-implemented method as recited in claim 1, wherein the first and subsequent health states are measures of a health of a physiological system of the patient, the physiological system being a cardiovascular, nervous, endocrine, muscular, skeletal, or integumentary system.

4. The computer-implemented method as recited in claim 1, wherein the first and second passively and noninvasively sensed senor data are sensed without piercing the patient'"'"'s skin or orifice.

5. The computer-implemented method as recited in claim 1, wherein determining the health state trend includes determining a health state trend for a disease.

6. The computer implemented method as recited in claim 5, wherein determining the health state trend includes calculating an outcome of the disease based on actions performed by the patient.

15. The computer-implemented method as recited in claim 1, wherein the first modality includes reflected light, sound waves, electromagnetic sensing, or fluid mechanics.

16. The computer-implemented method as recited in claim 1, where the radar-based monitoring device that senses in the second modality senses using a radar field that includes modulated radiation.

17. The computer-implemented method as recited in claim 1, where the radar-based monitoring device that senses in the second modality senses using a radar field that includes ultra-wideband radiation.

18. The computer-implemented method as recited in claim 1, where the radar-based monitoring device that senses in the second modality senses using a radar field that includes sub-millimeter-frequency radiation.

7. A computing device comprising:

one or more computer processors; and

one or more computer-readable media having instructions stored thereon that, responsive to execution by the one or more computer processors, implements a health manager configured to;

detect, using one or more sensing devices of a sensing milieu contained in a bedroom, an automobile, a bathroom, an office, or a workplace, a first instance of an activity of a patient that is within a normal course of life of the patient, wherein said detecting is passive in that no explicit patient interaction with any of said one or more sensing devices is required, wherein said sensing devices are part of a color-sensing mirror, a pressure and electrical sensing mat, an ultrasonic bathtub, or an automobile rear-view mirror and sense in a first modality, wherein said detecting is non-invasive, and wherein said activity that is within the normal course of life of the patient is walking, eating, working, exercising, driving, or talking;

responsive to said detecting of said first instance of the activity, monitor, using a radar-based monitoring device that senses in a second modality that is other than the first modality, said patient to detect a first health state of the patient associated with said activity, wherein said monitoring is carried out in temporal proximity to said first instance of the activity, wherein said monitoring is non-invasive, and wherein said monitoring is passive in that no explicit patient interaction with said radar-based monitoring device is required;

subsequently detect, using said one or more sensing devices, multiple subsequent instances of said activity of the patient that is within said normal course of life of the patient, said subsequent detection being passive and non-invasive;

subsequently monitor, for each of said detected subsequent instances of said activity, said patient using said radar-based monitoring device to detect subsequent respective health states of the patient associated with said activity, wherein said subsequent monitoring is carried out in temporal proximity to said subsequent instances of the activity, respectively, and wherein said subsequent monitoring is non-invasive and passive;

process said first and subsequent health states of the patient to determine a health state trend of the patient for said activity; and

provide the health state trend for said activity.

8. The computing device as recited in claim 7, wherein the radar-based monitoring device provides a radar field configured to reflect from human tissue and penetrate non-human material via continuously modulated radiation, ultra-wide band radiation, or sub-millimeter-frequency radiation.

9. The computing device as recited in claim 8, wherein the health state trend is a skeletal-system health state trend of said patient.

10. The computing device as recited in claim 8, wherein the health state trend is a cardiovascular-system health state trend of said patient.

19. The computing device as recited in claim 7, wherein the said sensing devices that are part of a color-sensing mirror, a pressure and electrical sensing mat, an ultrasonic bathtub, or an automobile rear-view mirror include fiber optics, piezoelectric materials, or a camera.

20. The computing device as recited in claim 19, wherein the camera is a color-sensing camera.

11. A noninvasive health-monitoring system comprising:

a milieu of radar-based health monitoring sensors, the milieu of radar-based health monitoring sensors part of a radar lamp or a color-sensing mirror;

one or more computer processors; and

one or more computer-readable media having instructions stored thereon that, responsive to execution by the one or more computer processors, implements a sensor manager configured to;

cause each of the milieu of radar-based health-monitoring sensors to repeatedly provide, through the radar-emitting element, radar fields;

repeatedly determine activities of a patient based on a patient'"'"'s human-tissue reflection in the respective radar fields, the activities within the normal course of life and determined to be walking, eating, or talking;

repeatedly associate health states to the determined activities based on the patient'"'"'s human-tissue reflection or another human-tissue reflection in the respective radar fields; and

provide the determined activities and the associated health states.

12. The noninvasive health-monitoring system as recited in claim 11, wherein the health states are skeletal system health states.

13. The noninvasive health-monitoring system as recited in claim 11, wherein the health states are cardiovascular system health states.

14. The noninvasive health-monitoring system as recited in claim 11 where the radar fields are provided as modulated radiation, ultra-wideband radiation, or sub-millimeter-frequency radiation.