SYSTEMS AND METHODS FOR UTILIZING PROLONGED SELF MONITORING IN THE ANALYSIS OF CHRONIC AILMENT TREATMENTS

• US 20110077469A1
• Filed: 09/27/2009
• Published: 03/31/2011
• Est. Priority Date: 09/27/2009
• Status: Abandoned Application

• Current Assignee: Patricia L. Knaack, Richard A. Blocker
• Original Assignee: Patricia L. Knaack, Richard A. Blocker
• Inventors: Blocker, Richard A., Knaack, Patricia L.
• Application Number:
  US12/567,791
• Publication Number:
  US 20110077469A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/90 relating to alternative medicines, e.g. homeopathy or oriental medicines
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A system that advantageously utilizes an individual'"'"'s self-monitoring abilities in the analysis of various ailment treatments. This system may include a personal computing device that includes one or more processors, one or more memories, and a user interface for obtaining personal health data from a user of the personal computing device; as well as one or more biometric measurement devices that are capable of acquiring biometric measurement data. The personal computing device may be configured to receive various biodata and then store the biodata in memory. The processor(s) of the personal computing device may be further configured to process the stored biodata to facilitate a determination of the effectiveness of one or more ailment treatment.

Claims

1. A system for utilizing self-monitoring in the analysis of ailment treatments, the system comprising:

a personal computing device comprising,

at least one processor;

at least one memory; and

a user interface; and

at least one biometric measurement device,

wherein the personal computing device is configured to receive a plurality of biodata and then store the plurality of biodata in memory, and

wherein at least one processor is configured to process the stored plurality of biodata to facilitate a determination of the effectiveness of at least one ailment treatment.

2. The system of claim 1, wherein the plurality of biodata comprises biometric measurement data generated by at least one biometric measurement device and personal health data obtained from user input at the user interface of the personal computing device.

3. The system of claim 2, wherein personal health data are selected from the group consisting of:

psychological health data, physiological health data, and psychobiological health data.

4. The system of claim 1, wherein at least one processor'"'"'s processing of the stored plurality of biodata further comprises statistical analysis of the stored plurality of biodata.

5. The system of claim 1, wherein at least one processor'"'"'s processing of the stored plurality of biodata further comprises datamining of the stored plurality of biodata.

6. The system of claim 1, wherein at least one ailment treatment is associated with a common ailment selected from the group consisting of:

hypertension, hypercholesterolemia, hyperlipidemia, chronic obstructive pulmonary disease, diabetes mellitus, arthritis, chronic fatigue, migraine headaches, general anxiety disorder, obesity, and genetic risk of disease.

7. The system of claim 1, wherein at least one biometric measurement device is selected from the group consisting of:

a blood pressure monitor, a blood glucose monitor, a blood lipid monitor, a blood ketone monitor, a blood oxygen saturation monitor, a urinalysis device, a bodyweight measurement device, a bodyfat measurement device, and a heartrate monitor.

8. A computer-readable medium encoded with a set of computer-executable instructions, which when executed, perform a method for utilizing self-monitoring in the analysis of ailment treatments, the method comprising:

receiving a plurality of biodata at a personal computing device;

storing the plurality of biodata; and

processing the stored plurality of biodata to facilitate a determination of the effectiveness of at least one ailment treatment.

9. The computer-readable medium of claim 8, wherein the plurality of biodata comprises biometric measurement data generated by least one biometric measurement device and personal health data obtained from a user of the personal computing device.

10. The computer-readable medium of claim 9, wherein the personal health data are selected from the group consisting of:

psychological health data, physiological health data, and psychobiological health data.

11. The computer-readable medium of claim 8, wherein the processing of the stored plurality of biodata further comprises statistical analysis of the stored plurality of biodata.

12. The computer-readable medium of claim 8, wherein the processing of the stored plurality of biodata further comprises datamining of the stored plurality of biodata.

13. The computer-readable medium of claim 8, wherein at least one ailment treatment is associated with a common ailment selected from the group consisting of:

hypertension, hypercholesterolemia, hyperlipidemia, chronic obstructive pulmonary disease, diabetes mellitus, arthritis, chronic fatigue, migraine headaches, general anxiety disorder, obesity, and genetic risk of disease.

14. The computer-readable medium of claim 8, wherein the plurality of biodata comprise biometric measurement data generated by at least one biometric measurement device that is selected from the group consisting of:

a blood pressure monitor, a blood glucose monitor, a blood lipid monitor, a blood ketone monitor, a blood oxygen saturation monitor, a urinalysis device, a bodyweight measurement device, a bodyfat measurement device, and a heartrate monitor.

15. A computer-implemented method for utilizing self-monitoring in the analysis of ailment treatments, the method comprising:

receiving a plurality of biodata at a personal computing device;

storing the plurality of biodata; and

processing the stored plurality of biodata to facilitate a determination of the effectiveness of at least one ailment treatment.

16. The computer-implemented method of claim 15, wherein the plurality of biodata comprise biometric measurement data generated by at least one biometric measurement device and personal health data obtained from a user of the personal computing device.

17. The computer-implemented method of claim 16, wherein the personal health data are selected from the group consisting of:

psychological health data, physiological health data, and psychobiological health data.

18. The computer-implemented method of claim 15, wherein the processing of the stored plurality of biodata further comprises statistical analysis and datamining of the stored plurality of biodata.

19. The computer-implemented method of claim 15, wherein at least one ailment treatment is associated with a common ailment selected from the group consisting of:

hypertension, hypercholesterolemia, hyperlipidemia, chronic obstructive pulmonary disease, diabetes mellitus, arthritis, chronic fatigue, migraine headaches, general anxiety disorder, obesity, and genetic risk of disease.

20. The computer-implemented method of claim 15, wherein the plurality of biodata comprise biometric measurement data generated by at least one biometric measurement device that is selected from the group consisting of:

a blood pressure monitor, a blood glucose monitor, a blood lipid monitor, a blood ketone monitor, a blood oxygen saturation monitor, a urinalysis device, a bodyweight measurement device, a bodyfat measurement device, and a heartrate monitor.