SYSTEMS, METHODS, AND DEVICES TO SELECTIVELY PRESENT CUMULATIVE INDICATORS OF AN INDIVIDUALS STATUS OVER TIME

• US 20140081666A1
• Filed: 11/15/2013
• Published: 03/20/2014
• Est. Priority Date: 06/16/2000
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: BodyMedia Incorporated (AliphCom Corp.)
• Inventors: Teller, Eric, Stivoric, John M., Pacione, Christopher D., Moss, John L., Liden, Craig B., McCormack, Margaret A., Kasabach, Christopher D. III
• Application Number:
  US14/082,070
• Publication Number:
  US 20140081666A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0295 adapted for recording user messages or annotations
• CPC Class Codes: A61B 2560/0456 Apparatus provided with a docking unit
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/441 Skin evaluation, e.g. for skin disorder diagnosis
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y10S 128/921 Diet management

Abstract

The invention is a system for detecting, monitoring, and reporting an individual'"'"'s physiological or contextual status. The system works deriving a physiological or contextual status parameter of an individual using the system. The derivation utilizes two sensed parameters of the individual. The system is able to present the derived parameter in relation to any other sensed parameters, entered information, life activities data, or other derived data.

Claims

1-44. -44. (canceled)

45. A method comprising:

generating data with a wearable physiological monitoring device, said generated data comprising at least data indicative of a first parameter of an individual and a second parameter of said individual wearing said wearable physiological monitoring device;

sending said data indicative of the first parameter and said data indicative of the second parameter to a computer processor;

with said computer processor, deriving data based on said data indicative of a first parameter and said data indicative of a second parameter of said individual, wherein said derived data comprises activity level data of said individual, calories burned of said individual, and sleep data of said individual;

storing in cumulative fashion said activity level data of said individual, calories burned of said individual and sleep data of said individual, said stored data being derived over a period of time;

presenting to the individual indicators of activity data of said individual, calories burned of said individual and sleep data of said individual stored over said period of time, wherein said indicators represent cumulative time data for each activity over said period of time;

providing the individual with more than one user selectable indicator for selecting more than one indicator to present to the individual; and

selectively presenting the selected one or more indicator to the individual each selected indicator presented in relation to each other selected indicator.

46. The method according to claim 45, said data indicative of the first parameter and said data indicative of the second parameter gathered by at least two sensors being chosen from the group consisting of respiration sensors, temperature sensors, heat flux sensors, body conductance sensors, body resistance sensors, body potential sensors, brain activity sensors, blood pressure sensors, body impedance sensors, body motion sensors, oxygen consumption sensors, body chemistry sensors, body position sensors, body pressure sensors, light absorption sensors, piezoelectric sensors, electrochemical sensors, strain gauges, and optical sensors.

47. The method according to claim 45, said data indicative of the first parameter and said data indicative of the second parameter gathered by at least two sensors being two of a body motion sensors adapted to generate data indicative of motion, a skin conductance sensor adapted to generate data indicative of the resistance of said individual'"'"'s skin to electric current, a heat flux sensor adapted to generate data indicative of heat flow, a body potential sensor adapted to generate data indicative of heart beats or muscle or brain activity of said individual, and a temperature sensor adapted to generate data indicative of a temperature of said individual'"'"'s skin, said data indicative of a first parameter and said data indicative of a second parameter comprising at least two of said data indicative of motion, said data indicative of resistance of said individual'"'"'s skin to electric current, said data indicative of heat flow, said data indicative of heart beats or muscle or brain activity and said data indicative of a temperature of said individual'"'"'s skin.

48. The method according to claim 47, said at least two sensors being said body motion sensor and said heat flux sensor, wherein said derived data comprises data relating to calories burned and is generated using at least said data indicative of motion and said data indicative of heat flow.

49. The method according to claim 47, wherein one of at least said at least two sensors further comprises said skin conductance sensor which generates data indicative of the resistance of said individual'"'"'s skin to electric current.

50. The method according to claim 47, said at least two sensors being said body motion sensor and said body potential sensor, wherein said derived data is generated using at least said data indicative of motion and said data indicative of heart beats.