System for monitoring health status of a person within an enclosed area

• US 10,325,470 B2
• Filed: 09/26/2017
• Issued: 06/18/2019
• Est. Priority Date: 09/26/2017
• Status: Active Grant

• Current Assignee: Citrix Systems, Inc. (Cloud Software Group)
• Original Assignee: Citrix Systems, Inc. (Cloud Software Group)
• Inventors: Ehlert, Brian Jeffrey, Tian, Jiayin, Fife, Christopher Coy
• Primary Examiner(s): Wang, Quan-Zhen
• Assistant Examiner(s): Burgdorf, Stephen R
• Application Number:
  US15/715,686
• Publication Number:
  US 20190096218A1
• Time in Patent Office: 630 Days
• Field of Search: 340521
• CPC Class Codes: G08B 21/04 responsive to non-activity, e.g. of elderly persons G08B21/06 takes precedence
• CPC Class Codes: G08B 21/0423 detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G08B 21/0461 integrated or attached to an item closely associated with the person but not worn by the person, e.g. chair, walking stick, bed sensor
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system for monitoring a health status of a person within an enclosed area may include a plurality of sensors distributed about the enclosed area. The sensors may be configured to detect respective different types of inputs based upon activity by the person within the enclosed area. The system may also include a computing device cooperating with the sensors to determine when the health status falls below a threshold status level based upon a timing and sequence in which the sensors are activated from the activity of the person within the enclosed area, and generate an alert based upon the health status falling below the threshold status level.

Claims

1. A system for monitoring a health status of a person within an enclosed area and comprising:

a plurality of sensors distributed about the enclosed area, the sensors being configured to detect respective different types of inputs based upon activity by the person within the enclosed area, a first one of the sensors comprising a refrigerator sensor and a second one of the sensors comprising a motion sensor; and

a computing device cooperating with the sensors to

determine an onset of dementia of the person within the enclosed area based upon a timing between activation of the motion sensor and a subsequent activation of the refrigerator sensor indicating a pattern of sporadically missed meals by the person, and

generate an alert based upon the determination of the onset of dementia;

wherein the computing device determines the pattern of missed meals based upon a time difference between the activation of the motion sensor and the subsequent activation of the refrigerator sensor exceeding at least 360 minutes.

2. The system of claim 1 wherein the computing device generates a baseline from activation of the sensors over time, and determines the pattern of sporadically missed meals further based upon the baseline.

3. The system of claim 1 wherein none of the sensors are connected to the person.

4. The system of claim 1 wherein at least one of the sensors comprises an internet of things (IoT) sensor.

5. A method for monitoring a health status of a person within an enclosed area with a computing device and comprising:

detecting respective different types of inputs based upon activity by the person within the enclosed area from a plurality of sensors distributed about the enclosed area, with a first one of the sensors comprising a refrigerator sensor and a second one of the sensors comprising a motion sensor;

determining an onset of dementia of the person within the enclosed area based upon a timing between activation of the motion sensor and a subsequent activation of the refrigerator sensor indicating a pattern of sporadically missed meals by the person; and

generating an alert based upon the determination of the onset of dementia;

wherein the pattern of missed meals is determined based upon a time difference between the activation of the motion sensor and the subsequent activation of the refrigerator sensor exceeding at least 360 minutes.

6. The method of claim 5 further comprising generating a baseline from activation of the sensors over time, and wherein determining comprises determining the pattern of sporadically missed meals further based upon the baseline.

7. The method of claim 5 wherein none of the sensors are connected to the person.

8. The method of claim 5 wherein at least one of the sensors comprises an internet of things (IoT) sensor.

9. A non-transitory computer-readable medium for a computing device for monitoring a health status of a person within an enclosed area, the non-transitory computer-readable medium having computer-executable instructions for causing the computing device to perform steps comprising:

detecting respective different types of inputs based upon activity by the person within the enclosed area from a plurality of sensors distributed about the enclosed area, with a first one of the sensors comprising a refrigerator sensor and a second one of the sensors comprising a motion sensor;

determining an onset of dementia of the person within the enclosed area based upon a timing between activation of the motion sensor and a subsequent activation of the refrigerator sensor indicating a pattern of sporadically missed meals by the person; and

generating an alert based upon the determination of the onset of dementia;

wherein the pattern of missed meals is determined based upon a time difference between the activation of the motion sensor and the subsequent activation of the refrigerator sensor exceeding at least 360 minutes.

10. The non-transitory computer-readable medium of claim 9 further having computer-executable instructions for causing the computing device to generate a baseline from activation of the sensors over time;

and wherein determining comprises determining the pattern of sporadically missed meals further based upon the baseline.

11. The non-transitory computer-readable medium of claim 9 wherein none of the sensors are connected to the person.

12. A system for monitoring a health status of a person within an enclosed area and comprising:

a plurality of sensors distributed about the enclosed area, the sensors being configured to detect respective different types of inputs based upon activity by the person within the enclosed area, a first one of the sensors comprising a refrigerator sensor and a second one of the sensors comprising a door sensor; and

a computing device cooperating with the sensors to

determine an onset of dementia of the person within the enclosed area based upon a timing between activation of the door sensor and a subsequent activation of the refrigerator sensor indicating a pattern of sporadically missed meals by the person, and

generate an alert based upon the determination of the onset of dementia;

wherein the computing device determines the pattern of missed meals based upon a time difference between the activation of the door sensor and the subsequent activation of the refrigerator sensor exceeding at least 960 minutes.

13. The system of claim 12 wherein the computing device determines the pattern of missed meals based upon a time difference between activation of the door sensor and the subsequent activation of the refrigerator sensor exceeding 1440 minutes.

14. The system of claim 12 wherein the computing device generates a baseline from activation of the sensors over time, and determines the pattern of sporadically missed meals further based upon the baseline.