DATA INTEGRITY

• US 20150088003A1
• Filed: 09/19/2014
• Published: 03/26/2015
• Est. Priority Date: 09/21/2013
• Status: Abandoned Application

• Current Assignee: LEO Technologies Incorporated
• Original Assignee: LEO Technologies Incorporated
• Inventors: Podhajsky, Ronald, Reschke, Arlen J.
• Application Number:
  US14/491,849
• Publication Number:
  US 20150088003A1
• Time in Patent Office: Days
• US Class Current: 600/479
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• 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 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02042 Determining blood loss or bleeding, e.g. during a surgical procedure
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/443 Evaluating skin constituents, e.g. elastin, melanin, water
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: G01N 21/59 Transmissivity G01N21/25 takes precedence
• CPC Class Codes: G01N 21/84 Systems specially adapted for particular applications
• CPC Class Codes: G01N 2201/062 LED's
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16C 99/00 Subject matter not provided for in other groups of this subclass

Abstract

Implementations disclosed herein provide a monitoring technology. In one implementation, a monitoring system measures whole body biometric levels by analysis of changes in vascular volume caused by pulsatile pressure waves and in tissue volume in response to the pulsatile pressure. The monitoring system includes a monitoring device, which uses a light-based measurement technique to measure biometric levels during different activities and at rest. A light source operatively connected to a light sensor, transmits light, reflectively or transmissively, through tissue. The light sensor detects absorption of the light. Based on wavelength measurements of the detected light, the monitoring device produces a PPG waveform representing characteristic effects of certain physiological parameters. PPG pulse data is selected that satisfies a data integrity condition. Based on analysis of the selected PPG pulse data, the monitoring device computes a biometric. Biometric data results can then be selected that satisfy a result integrity condition.

Claims

1. A hydration monitoring method comprising:

receiving photoplethysmographic (PPG) pulse data from a subject;

selecting a subset of the PPG pulse data from the subject, the subset of PPG pulse data satisfying a data integrity condition; and

determining changes in tissue volume and changes in vascular volume within body tissue of the subject based on the selected subset of PPG pulse data.

2. The method of claim 1, further comprising computing a hydration metric based on the determined changes in tissue volume and changes in vascular volume within the body tissue of the subject.

3. The method of claim 1, wherein selecting a subset of the PPG pulse data comprises omitting another subset of PPG pulse data that does not satisfy a data integrity condition.

4. The method of claim 2, further comprising communicating the computed hydration metric of the body tissue of the subject via a communications interface.

5. The method of claim 1, wherein receiving a subset of PPG pulse data further comprises receiving raw PPG pulse data as a sequence of data samples.

6. The method of claim 5, further comprising analyzing individual pulses of the raw PPG pulse data against each other to determine data integrity.

7. The method of claim 1, wherein the selecting a subset of the PPG pulse data further comprises utilizing a filtering scheme to select a subset of the PPG pulse data from the subject that satisfies a data integrity condition.

8. The method of claim 7, wherein the filtering scheme is based on at least one of amplitude, time, and pulse recognition measured in the subset of the PPG pulse data.

9. The method of claim 7, wherein the filtering scheme is based on a ratio of adjacent amplitudes per pulse measured in the subset of the PPG pulse data.

10. The method of claim 7, wherein the filtering scheme is based on a time distance ratio measured in the subset of the PPG pulse data.

11. The method of claim 7, wherein the filtering scheme is based on a delta in absolute pulse height measured in the subset of the PPG pulse data.

12. The method of claim 7, wherein the filtering scheme is based on a delta in absolute pulse distances measured in the subset of the PPG pulse data.

13. The method of claim 1, further comprising selecting hydration metric data that satisfies a result integrity condition.

14. The method of claim 13, further comprising utilizing a filtering scheme to select hydration metric data that satisfies a result integrity condition.

15. The method of claim 14, wherein the filtering scheme is a smoothing algorithm.

18. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises computing a hydration metric based on the determined changes in tissue volume and changes in vascular volume within the body tissue of the subject.

19. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises omitting another subset of PPG pulse data that does not satisfy a data integrity condition.

20. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises communicating the computed hydration metric of the body tissue of the subject via a communications interface.

21. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises receiving raw PPG pulse data as a sequence of data samples.

22. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises analyzing individual pulses of the raw PPG pulse data against each other to determine data integrity.

23. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises utilizing a filtering scheme to select PPG pulse data from the subject that satisfies a data integrity condition.

24. The one or more computer-readable storage media of claim 23, wherein the computer process further comprises utilizing a filtering scheme based on at least one of amplitude, time, and pulse recognition measured in the PPG pulse data.

25. The one or more computer-readable storage media of claim 23, wherein the computer process further comprises utilizing a filtering scheme based on a ratio of adjacent amplitudes per pulse measured in the PPG pulse data.

26. The one or more computer-readable storage media of claim 23, wherein the computer process further comprises utilizing a filtering scheme based on a time distance ratio measured in the PPG pulse data.

27. The one or more computer-readable storage media of claim 23, wherein the computer process further comprises utilizing a filtering scheme is based on a delta in absolute pulse height measured in the PPG pulse data.

28. The one or more computer-readable storage media of claim 23, wherein the computer process further comprises utilizing a filtering scheme based on a delta in absolute pulse distances measured in the PPG pulse data.

29. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises selecting hydration metric data that satisfies a result integrity condition.

30. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises utilizing a filtering scheme to select hydration metric data that satisfies a result integrity condition.

31. The one or more computer-readable storage media of claim 1, wherein the computer process further comprises utilizing a filtering scheme based on a smoothing algorithm.

16. A biometric monitoring method comprising:

receiving photoplethysmographic (PPG) pulse data from a subject;

selecting a subset of the PPG pulse data from the subject, the subset of PPG pulse data satisfying a data integrity condition;

determining changes in tissue volume and changes in vascular volume within body tissue of the subject based on the selected PPG pulse data;

computing a biometric metric based on the determined changes in tissue volume and changes in vascular volume within the body tissue of the subject; and

communicating the computed biometric metric of the body tissue of the subject via a communications interface.

17. One or more computer-readable storage media encoding computer-executable instructions for executing on a computer system a computer process, the computer process comprising:

receiving photoplethysmographic (PPG) pulse data from a subject;

selecting a subset of the PPG pulse data from the subject, the subset of PPG pulse data satisfying a data integrity condition; and

determining changes in tissue volume and changes in vascular volume within body tissue of the subject based on the selected subset of PPG pulse data.

32. A system comprising:

a processor configured to receive photoplethysmographic (PPG) pulse data from a subject, select a subset of the PPG pulse data from the subject, the subset of PPG pulse data satisfying a data integrity condition, determine changes in tissue volume and changes in vascular volume within body tissue of the subject based on the selected PPG pulse data, compute a biometric metric based on the determined changes in tissue volume and changes in vascular volume within the body tissue of the subject; and

a communications interface configured to communicate the computed hydration metric of the body tissue of the subject.