BIOMEDICAL FEEDBACK

• US 20140236633A1
• Filed: 04/25/2014
• Published: 08/21/2014
• Est. Priority Date: 10/18/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Breslau, Franklin C., Torres, Robert J.
• Application Number:
  US14/261,672
• Publication Number:
  US 20140236633A1
• Time in Patent Office: Days
• US Class Current: 705/3
• 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 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A feedback method and system. The method includes a computing system identifying a user. A biomedical feedback software application is enabled for the user. The biomedical feedback software application in the computing system monitors a first group of current biomedical characteristics of the user. The feedback software application analyzes the first group of current biomedical characteristics of the user with respect to a profile associated with the user. An analysis report is generated in response to the analysis. The analysis report is presented to the user. The computing system monitors a response to the analysis report from the user.

Claims

1. A feedback method comprising:

identifying, by a computing system, a first user, wherein said computing system comprises a computer processor and a memory system, wherein said memory system comprises a first plurality of profiles and a biomedical feedback software application, and wherein said first plurality of profiles comprises first previously received data associated with various biomedical characteristics of said first user;

retrieving, by said computing system from said memory system, a first profile of said first plurality of profiles, said first profile associated with said first user and a first group of current biomedical characteristics of said first user, wherein said first group of current biomedical characteristics comprises current vital sign readings from said first user;

analyzing, by said computer processor executing said biomedical feedback software application, said first group of current biomedical characteristics, being monitored, with respect to said first profile of said first plurality of profiles, wherein analyzing said first group of biomedical characteristics with respect to said first profile comprises;

calculating a calorie consumption per unit time for said first user;

calculating a dehydration level for said first user; and

calculating a number of steps taken by said first user;

generating in response to said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, by said biomedical feedback software application, a first analysis report comprising results of said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, said first analysis report comprising said heart rate, said calorie consumption per unit time, said body mass index, said dehydration level, and said number of steps taken;

receiving, by said computing system, threshold levels for any vital sign readings obtained from said first user;

analyzing, by said biomedical feedback software application, said current vital sign readings from said first user with respect to said threshold levels;

determining, by said biomedical feedback software application, that a group of vital sign readings of said current vital sign readings exceed associated threshold levels of said threshold levels;

presenting, by said computing system to said first user, audible indicators indicating audible sounds associated with said group of vital sign readings exceeding said associated threshold levels, wherein each audible indicator of said audible indicators is associated with a different vital sign reading of said group of vital sign readings exceeding an associated threshold level of said associated threshold levels, and wherein each audible sound of said audible sounds comprises a different audible sound comprising a different audible level depending on an association with vital sign readings of said group of vital sign readings;

generating, by said computing system based on results of said analyzing said first group of biomedical characteristics, an updated profile from said first profile of said first plurality of profiles;

enabling, by said first user, a motion monitoring routine for said biomedical feedback software application;

detecting in response to said enabling said motion monitoring routine, by said biomedical feedback software application at specified intervals during a specified time period, different movement types associated with movements of said first user;

periodically monitoring in response to said different movement types, by said biomedical feedback software application at said specified intervals during said specified time period, groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said groups of specified levels for said first group of current biomedical characteristics with respect to said updated profile;

analyzing, by said biomedical feedback software application, said groups of specified levels with respect to a gender, age, and weight of said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels with respect to said updated profile and said analyzing said groups of specified levels with respect to said gender, said age, and said weight of said first user, caloric recommendations for calories to be consumed by said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels, motion recommendations for specified motions to be performed by said first user, wherein said specified motions include a brisk walk;

periodically monitoring in response to presenting said caloric recommendations and said motion recommendations, by said biomedical feedback software application, additional groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said additional groups of specified levels for said first group of current biomedical characteristics with respect to said groups of specified levels; and

determining, by said biomedical feedback software application, if said user has performed activities associated with said caloric recommendations and said motion recommendations.

2. The method of claim 1, further comprising:

disabling, by said computing system, said biomedical feedback software application for said first user;

identifying, by said computing system, a second user, wherein said memory system comprises a second plurality of profiles, and wherein each profile of said second plurality of profiles comprises second previously received data associated with various biomedical characteristics of said second user;

enabling, by said computing system, said biomedical feedback software application for said second user;

retrieving, by said computing system from said memory system, a first profile of said second plurality of profiles, said first profile of said second plurality of profiles associated with said second user and a second group of current biomedical characteristics of said second user;

monitoring, by said feedback software application, said second group of current biomedical characteristics of said second user;

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles, by said biomedical feedback software application, a second analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles; and

presenting, by said computing system to said second user, said second analysis report

monitoring, by said computing system, a response to said second analysis report from said second user.

3. The method of claim 2, further comprising:

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user, by said feedback software application, a third analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

presenting, by said computing system to said second user, said third analysis report; and

monitoring, by said computing system, a response to said third analysis report from said second user.

4. The method of claim 1, further comprising:

generating, by said computing system, a warning signal; and

transmitting, by said computing system, said warning signal to a medical emergency dispatcher.

5. The method of claim 1, wherein said first analysis report comprises suggestions for said first user, said suggestions comprising recommendations for:

exercise start/stop times, eating times, and food types for consumption.

6. A computing system comprising a processor coupled to a computer-readable memory unit, said memory unit comprising a first plurality of profiles, a biomedical feedback software application, and instructions that when executed by the processor implement a feedback method, wherein said first plurality of profiles comprises first previously received data associated with various biomedical characteristics of a first user, said method comprising:

identifying, by said computing system, said first user;

retrieving, by said computing system from said memory system, a first profile of said first plurality of profiles, said first profile associated with said first user and a first group of current biomedical characteristics of said first user, wherein said first group of current biomedical characteristics comprises current vital sign readings from said first user;

analyzing, by said computer processor executing said biomedical feedback software application, said first group of current biomedical characteristics, being monitored, with respect to said first profile of said first plurality of profiles, wherein analyzing said first group of biomedical characteristics with respect to said first profile comprises;

calculating a calorie consumption per unit time for said first user;

calculating a dehydration level for said first user; and

calculating a number of steps taken by said first user;

generating in response to said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, by said biomedical feedback software application, a first analysis report comprising results of said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, said first analysis report comprising said heart rate, said calorie consumption per unit time, said body mass index, said dehydration level, and said number of steps taken;

receiving, by said computing system, threshold levels for any vital sign readings obtained from said first user;

analyzing, by said biomedical feedback software application, said current vital sign readings from said first user with respect to said threshold levels;

determining, by said biomedical feedback software application, that a group of vital sign readings of said current vital sign readings exceed associated threshold levels of said threshold levels;

presenting, by said computing system to said first user, audible indicators indicating audible sounds associated with said group of vital sign readings exceeding said associated threshold levels, wherein each audible indicator of said audible indicators is associated with a different vital sign reading of said group of vital sign readings exceeding an associated threshold level of said associated threshold levels, and wherein each audible sound of said audible sounds comprises a different audible sound comprising a different audible level depending on an association with vital sign readings of said group of vital sign readings;

generating, by said computing system based on results of said analyzing said first group of biomedical characteristics, an updated profile from said first profile of said first plurality of profiles;

enabling, by said first user, a motion monitoring routine for said biomedical feedback software application;

detecting in response to said enabling said motion monitoring routine, by said biomedical feedback software application at specified intervals during a specified time period, different movement types associated with movements of said first user;

periodically monitoring in response to said different movement types, by said biomedical feedback software application at said specified intervals during said specified time period, groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said groups of specified levels for said first group of current biomedical characteristics with respect to said updated profile;

analyzing, by said biomedical feedback software application, said groups of specified levels with respect to a gender, age, and weight of said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels with respect to said updated profile and said analyzing said groups of specified levels with respect to said gender, said age, and said weight of said first user, caloric recommendations for calories to be consumed by said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels, motion recommendations for specified motions to be performed by said first user, wherein said specified motions include a brisk walk;

periodically monitoring in response to presenting said caloric recommendations and said motion recommendations, by said biomedical feedback software application, additional groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said additional groups of specified levels for said first group of current biomedical characteristics with respect to said groups of specified levels; and

determining, by said biomedical feedback software application, if said user has performed activities associated with said caloric recommendations and said motion recommendations.

7. The computing system of claim 6, wherein said method further comprises:

disabling, by said computing system, said biomedical feedback software application for said first user;

identifying, by said computing system, a second user, wherein said computer-readable memory unit comprises a second plurality of profiles, and wherein each profile of said second plurality of profiles comprises second previously received data associated with various biomedical characteristics of said second user;

enabling, by said computing system, said biomedical feedback software application for said second user;

retrieving, by said computing system from said computer-readable memory unit, a first profile of said second plurality of profiles, said first profile of said second plurality of profiles associated with said second user and a second group of current biomedical characteristics of said second user;

monitoring, by said feedback software application, said second group of current biomedical characteristics of said second user;

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles, by said biomedical feedback software application, a second analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles; and

presenting, by said computing system to said second user, said second analysis report

monitoring, by said computing system, a response to said second analysis report from said second user.

8. The computing system of claim 7, wherein said method further comprises:

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user, by said feedback software application, a third analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

presenting, by said computing system to said second user, said third analysis report; and

monitoring, by said computing system, a response to said third analysis report from said second user.

9. The computing system of claim 6, wherein said analyzing said current vital sign readings from said first user with respect to said threshold levels determines that said vital sign reading exceeds said associated threshold level of said threshold levels, and wherein said method further comprises:

generating, by said computing system, a warning signal; and

transmitting, by said computing system, said warning signal to a medical emergency dispatcher.

10. The computing system of claim 6, wherein said first analysis report comprises suggestions for said first user, said suggestions comprising recommendations for:

exercise start/stop times, eating times, and food types for consumption.

11. A computer program product, comprising a computer readable storage device storing a computer readable program code embodied therein, said computer readable program code adapted to implement a feedback method within a computing system, said method comprising:

identifying, by said computing system, a first user, wherein said computer readable medium comprises a first plurality of profiles and a biomedical feedback software application, and wherein said first plurality of profiles comprises first previously received data associated with various biomedical characteristics of said first user;

retrieving, by said computing system from said memory system, a first profile of said first plurality of profiles, said first profile associated with said first user and a first group of current biomedical characteristics of said first user, wherein said first group of current biomedical characteristics comprises current vital sign readings from said first user;

analyzing, by said computer processor executing said biomedical feedback software application, said first group of current biomedical characteristics, being monitored, with respect to said first profile of said first plurality of profiles, wherein analyzing said first group of biomedical characteristics with respect to said first profile comprises;

calculating a calorie consumption per unit time for said first user;

calculating a dehydration level for said first user; and

calculating a number of steps taken by said first user;

generating in response to said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, by said biomedical feedback software application, a first analysis report comprising results of said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, said first analysis report comprising said heart rate, said calorie consumption per unit time, said body mass index, said dehydration level, and said number of steps taken;

receiving, by said computing system, threshold levels for any vital sign readings obtained from said first user;

analyzing, by said biomedical feedback software application, said current vital sign readings from said first user with respect to said threshold levels;

determining, by said biomedical feedback software application, that a group of vital sign readings of said current vital sign readings exceed associated threshold levels of said threshold levels;

presenting, by said computing system to said first user, audible indicators indicating audible sounds associated with said group of vital sign readings exceeding said associated threshold levels, wherein each audible indicator of said audible indicators is associated with a different vital sign reading of said group of vital sign readings exceeding an associated threshold level of said associated threshold levels, and wherein each audible sound of said audible sounds comprises a different audible sound comprising a different audible level depending on an association with vital sign readings of said group of vital sign readings;

generating, by said computing system based on results of said analyzing said first group of biomedical characteristics, an updated profile from said first profile of said first plurality of profiles;

enabling, by said first user, a motion monitoring routine for said biomedical feedback software application;

detecting in response to said enabling said motion monitoring routine, by said biomedical feedback software application at specified intervals during a specified time period, different movement types associated with movements of said first user;

periodically monitoring in response to said different movement types, by said biomedical feedback software application at said specified intervals during said specified time period, groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said groups of specified levels for said first group of current biomedical characteristics with respect to said updated profile;

analyzing, by said biomedical feedback software application, said groups of specified levels with respect to a gender, age, and weight of said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels with respect to said updated profile and said analyzing said groups of specified levels with respect to said gender, said age, and said weight of said first user, caloric recommendations for calories to be consumed by said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels, motion recommendations for specified motions to be performed by said first user, wherein said specified motions include a brisk walk;

periodically monitoring in response to presenting said caloric recommendations and said motion recommendations, by said biomedical feedback software application, additional groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said additional groups of specified levels for said first group of current biomedical characteristics with respect to said groups of specified levels; and

determining, by said biomedical feedback software application, if said user has performed activities associated with said caloric recommendations and said motion recommendations.

12. The computer program product of claim 11, wherein said method further comprises:

disabling, by said computing system, said biomedical feedback software application for said first user;

identifying, by said computing system, a second user, wherein said computer readable medium comprises a second plurality of profiles, and wherein each profile of said second plurality of profiles comprises second previously received data associated with various biomedical characteristics of said second user;

enabling, by said computing system, said biomedical feedback software application for said second user;

retrieving, by said computing system from said computer readable medium, a first profile of said second plurality of profiles, said first profile of said second plurality of profiles associated with said second user and a second group of current biomedical characteristics of said second user;

monitoring, by said feedback software application, said second group of current biomedical characteristics of said second user;

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles, by said biomedical feedback software application, a second analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles; and

presenting, by said computing system to said second user, said second analysis report

monitoring, by said computing system, a response to said second analysis report from said second user.

13. The computer program product of claim 12, wherein said method further comprises:

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user, by said feedback software application, a third analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

presenting, by said computing system to said second user, said third analysis report; and

monitoring, by said computing system, a response to said third analysis report from said second user.

14. The computer program product of claim 11, wherein said method further comprises:

generating, by said computing system, a warning signal; and

transmitting, by said computing system, said warning signal to a medical emergency dispatcher.

15. The computer program product of claim 11, wherein said first analysis report comprises suggestions for said first user, said suggestions comprising recommendations for:

exercise start/stop times, eating times, and food types for consumption.

16. A process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computing system comprising a computer processor and a memory unit, wherein the code is executed by the computer processor as part of the process to perform a feedback method, said method comprising:

identifying, by said computing system, a first user, wherein said memory unit comprises a first plurality of profiles and a biomedical feedback software application, and wherein said first plurality of profiles comprises first previously received data associated with various biomedical characteristics of said first user;

retrieving, by said computing system from said memory system, a first profile of said first plurality of profiles, said first profile associated with said first user and a first group of current biomedical characteristics of said first user, wherein said first group of current biomedical characteristics comprises current vital sign readings from said first user;

analyzing, by said computer processor executing said biomedical feedback software application, said first group of current biomedical characteristics, being monitored, with respect to said first profile of said first plurality of profiles, wherein analyzing said first group of biomedical characteristics with respect to said first profile comprises;

calculating a calorie consumption per unit time for said first user;

calculating a dehydration level for said first user; and

calculating a number of steps taken by said first user;

generating in response to said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, by said biomedical feedback software application, a first analysis report comprising results of said analyzing said first group of biomedical characteristics with respect to said first profile of said first plurality of profiles, said first analysis report comprising said heart rate, said calorie consumption per unit time, said body mass index, said dehydration level, and said number of steps taken;

receiving, by said computing system, threshold levels for any vital sign readings obtained from said first user;

analyzing, by said biomedical feedback software application, said current vital sign readings from said first user with respect to said threshold levels;

determining, by said biomedical feedback software application, that a group of vital sign readings of said current vital sign readings exceed associated threshold levels of said threshold levels;

presenting, by said computing system to said first user, audible indicators indicating audible sounds associated with said group of vital sign readings exceeding said associated threshold levels, wherein each audible indicator of said audible indicators is associated with a different vital sign reading of said group of vital sign readings exceeding an associated threshold level of said associated threshold levels, and wherein each audible sound of said audible sounds comprises a different audible sound comprising a different audible level depending on an association with vital sign readings of said group of vital sign readings;

generating, by said computing system based on results of said analyzing said first group of biomedical characteristics, an updated profile from said first profile of said first plurality of profiles;

enabling, by said first user, a motion monitoring routine for said biomedical feedback software application;

detecting in response to said enabling said motion monitoring routine, by said biomedical feedback software application at specified intervals during a specified time period, different movement types associated with movements of said first user;

periodically monitoring in response to said different movement types, by said biomedical feedback software application at said specified intervals during said specified time period, groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said groups of specified levels for said first group of current biomedical characteristics with respect to said updated profile;

analyzing, by said biomedical feedback software application, said groups of specified levels with respect to a gender, age, and weight of said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels with respect to said updated profile and said analyzing said groups of specified levels with respect to said gender, said age, and said weight of said first user, caloric recommendations for calories to be consumed by said first user;

generating, by said biomedical feedback software application in response to said analyzing said groups of specified levels, motion recommendations for specified motions to be performed by said first user, wherein said specified motions include a brisk walk;

periodically monitoring in response to presenting said caloric recommendations and said motion recommendations, by said biomedical feedback software application, additional groups of specified levels for said first group of current biomedical characteristics;

analyzing, by said biomedical feedback software application, said additional groups of specified levels for said first group of current biomedical characteristics with respect to said groups of specified levels; and

determining, by said biomedical feedback software application, if said user has performed activities associated with said caloric recommendations and said motion recommendations.

17. The process of claim 16, wherein said method further comprises:

disabling, by said computing system, said biomedical feedback software application for said first user;

identifying, by said computing system, a second user, wherein said memory unit comprises a second plurality of profiles, and wherein each profile of said second plurality of profiles comprises second previously received data associated with various biomedical characteristics of said second user;

enabling, by said computing system, said biomedical feedback software application for said second user;

retrieving, by said computing system from said memory unit, a first profile of said second plurality of profiles, said first profile of said second plurality of profiles associated with said second user and a second group of current biomedical characteristics of said second user;

monitoring, by said feedback software application, said second group of current biomedical characteristics of said second user;

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles, by said biomedical feedback software application, a second analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first profile of said second plurality of profiles; and

presenting, by said computing system to said second user, said second analysis report

monitoring, by said computing system, a response to said second analysis report from said second user.

18. The process of claim 17, wherein said method further comprises:

analyzing, by said biomedical feedback software application, said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

generating in response to said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user, by said feedback software application, a third analysis report comprising results of said analyzing said second group of current biomedical characteristics of said second user with respect to said first group of current biomedical characteristics of said first user;

presenting, by said computing system to said second user, said third analysis report; and

monitoring, by said computing system, a response to said third analysis report from said second user.

19. The process of claim 17, wherein said method further comprises:

generating, by said computing system, a warning signal; and

transmitting, by said computing system, said warning signal to a medical emergency dispatcher.

20. The process of claim 17, wherein said first analysis report comprises suggestions for said first user, said suggestions comprising recommendations for:

exercise start/stop times, eating times, and food types for consumption.