CHAIR PAD SYSTEM AND ASSOCIATED, COMPUTER MEDIUM AND COMPUTER-IMPLEMENTED METHODS FOR MONITORING AND IMPROVING HEALTH AND PRODUCTIVITY OF EMPLOYEES

• US 20140163332A1
• Filed: 02/14/2014
• Published: 06/12/2014
• Est. Priority Date: 07/05/2011
• Status: Active Grant

• Current Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Original Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Inventors: Horseman, Samantha J.
• Granted Patent: US 10,058,285 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0008 Temperature signals
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• 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 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4872 Body fat
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Provided are embodiments of systems, computer medium and computer-implemented methods for sensing health characteristics of a user using a chair pad including a set of health sensors integrated therewith and including temperature sensors, body position sensors, and body fat sensors. A method for sensing health characteristics of a user including receiving, from the temperature sensors, temperature data corresponding to a sensed body temperature of the user, receiving, from the body position sensors, body position data corresponding to a sensed body position of the user, receiving, from the body fat sensors, body fat data corresponding to a sensed body fat of the user, and transmitting, to a computer workstation, health data corresponding to the temperature data, the body position data, and the body fat data for use in determining the body temperature, the body position, and the body fat of the user.

Claims

1. A computer-implemented method for sensing health characteristics of a user using a chair pad comprising a seat-pad configured to be disposed on a seat portion of a chair, a back-pad configured to be disposed on a back portion of the chair, and a set of health sensors integrated within at least one of the seat-pad and the back-pad, the set of health sensors comprising one or more temperature sensors configured to sense a body temperature of the user, one or more body position sensors configured to sense a body position of the user, one or more body fat sensors configured to sense body fat of the user, the computer-implemented method comprising:

receiving, from the one or more temperature sensors, temperature data corresponding to a sensed body temperature of the user;

receiving, from the one or more body position sensors, body position data corresponding to a sensed body position of the user;

receiving, from the one or more body fat sensors, body fat data corresponding to a sensed body fat of the user; and

transmitting, to a computer workstation, health data corresponding to the temperature data, the body position data, and the body fat data for use in determining the body temperature, the body position, and the body fat of the user.

2. A computer-implemented method according to claim 1, wherein the one or more temperature sensors comprise one or more temperature transducers located in at least one of a right portion of the seat-pad, a left portion of the seat-pad, a right portion of the back-pad, and a left portion of the back-pad such that a temperature of at least one of the user'"'"'s right buttocks/upper-leg, left buttocks/upper-leg, right back, or left back is sensed while the user is seated in the chair.

3. A computer-implemented method according to claim 1, wherein the one or more position sensors comprise one or more forces transducers located in at least one of a right portion of the seat-pad, a left portion of the seat-pad, a right portion of the back-pad, and a left portion of the back-pad such that a force of at least one of the user'"'"'s right buttocks/upper-leg, left buttocks/upper-leg, right back, or left back is sensed while the user is seated in the chair.

4. A computer-implemented method according to claim 1, wherein the one or more body fat sensors comprise one or more conductive contacts located in at least one of a right portion of the seat-pad, a left portion of the seat-pad, a right portion of the back-pad, and a left portion of the back-pad such that body fat across at least one of the user'"'"'s right buttocks/upper-leg and left buttocks/upper-leg, right back and left back, right buttocks/upper-leg and right back, and left buttocks/upper-leg and left back is sensed while the user is seated in the chair.

5. A computer-implemented method according to claim 1, further comprising:

receiving a request for health data from the computer workstation; and

in response to receiving a request for health data from the computer workstation;

collecting the temperature data from the one or more temperature sensors, the body position data from the one or more body position sensors, and the body fat data from the one or more body fat sensors; and

transmitting, to the computer workstation, health data corresponding to the temperature data, the body position data, and the body fat data for use in determining the body temperature, the body position, and the body fat of the user.