Apparatuses, methods, processes, and systems related to significant detrimental changes in health parameters and activating lifesaving measures

• US 10,478,127 B2
• Filed: 06/23/2015
• Issued: 11/19/2019
• Est. Priority Date: 06/23/2014
• Status: Active Grant

• Current Assignee: Sherlock Solutions LLC
• Original Assignee: Sherlock Solutions LLC
• Inventors: Sampson, Robert
• Primary Examiner(s): Flory, Christopher A
• Application Number:
  US14/748,230
• Publication Number:
  US 20150366518A1
• Time in Patent Office: 1,610 Days
• Field of Search: 600301
• CPC Class Codes: A61B 2560/0228 using calibration standards
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/291 for electroencephalography [EEG]
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• 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: 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 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 40/63 for local operation

Abstract

Certain exemplary embodiments can provide an apparatus wearable by a user. The apparatus can comprise a biometric sensor constructed to generate signals based upon measurements of the user. The apparatus can comprise a processor constructed to determine a significant detrimental change in the user via an algorithm based upon the signals.

Claims

1. A system comprising:

a wearable biometric apparatus wearable by a user, said wearable biometric apparatus including a biometric sensor situationally calibrated based on a physically-measured value of said user measured by said system during a movement of said user, said biometric sensor configured to measure biometric data from said user and generate one or more processed signals based on said biometric data;

a wireless transmitter housed in said wearable biometric apparatus, said wireless transmitter transmitting said one or more processed signals; and

a portable device having at least one primary processor, said portable device receiving said one or more processed signals from said wireless transmitter of said wearable biometric apparatus, said at least one primary processor determining whether said user has experienced a change that is a physiological and detrimental change or a physiological and not detrimental change by comparing a plurality of snapshots of one or more health parameters of said user, said one or more health parameters generated based on said one or more processed signals, said at least one primary processor determining an action, said action including automatically notifying said user when said user has experienced said physiological and detrimental change.

2. The system of claim 1, wherein:

said change includes a confidence interval.

3. The system of claim 1, wherein:

said biometric sensor is situationally calibratable by a first response of said user to a first request to minimize movement for a first period of time, and second response of said user to a second request to maximize movement for a second period of time.

4. The system of claim 1, wherein:

said biometric sensor is situationally calibrated automatically upon detection of said movement of said user consistent with a physical activity of said user, and

said detection of said movement is performed via an accelerometer or a gyroscope.

5. The system of claim 1, wherein:

said biometric sensor is calibratable by a response of said user to a request to position said biometric sensor on at least two different parts of a body of said user.

6. The system of claim 1, wherein:

said portable device is operable to relay information concerning said change to said wearable biometric apparatus.

7. The system of claim 1, wherein:

said wearable biometric apparatus includes a user interface that causes said wearable biometric apparatus to capture a reading from said biometric sensor.

8. The system of claim 1, wherein:

responsive to user signals from said user, said wearable biometric apparatus is operable to calibrate said biometric sensor based on demographical and medical information received from said user, wherein a calibration includes a determination of differences between a signal of said biometric sensor and a standard.

9. The system of claim 1, wherein:

said biometric sensor is (i) an electrocardiogram sensor, and (ii) operable to couple to said user in at least two locations.

10. The system of claim 1, wherein:

said biometric sensor is a heart rate monitor.

11. The system of claim 1, wherein:

said biometric sensor is a laser Doppler flowmeter.

12. The system of claim 1, wherein:

said biometric sensor is a capacitive sensor that comprises two electrodes mounted on substantially opposite sides of a body part of said user.

13. The system of claim 1, wherein:

said wearable biometric apparatus is configured to (i) prompt said user to submit past, family, and social history information via a user interface, and (ii) communicate said past, said family, and said social history information to an emergency medical system.

14. The system of claim 1, wherein:

said biometric sensor is selectively calibrated based upon information from one or more biometric sensors either individually or as a group.

15. The system of claim 1, wherein:

said one or more health parameters includes at least one of photoplethysmogram sensor data or electrocardiogram sensor data.

16. The system of claim 1, wherein:

said wearable biometric apparatus is configured to allow said user to cancel an information transmission to an emergency medical system.

17. The system of claim 1, wherein:

said change is a heart condition determined based upon ST segment elevation.

18. The system of claim 1, wherein:

comparing said plurality of snapshots of said one or more health parameters includes determining that a stroke has occurred based upon ST segment depression.

19. The system of claim 1, wherein:

comparing said plurality of snapshots of said one or more health parameters includes changes in at least one of a QRS complex and a Peak-Peak interval.

20. The system of claim 1, wherein:

said wearable biometric apparatus automatically prompts said user for information responsive to information from said biometric sensor.

21. The system of claim 1, wherein:

said biometric sensor is situationally calibrated automatically upon detection of said movement of said user consistent with a physical activity of said user, and

said wearable biometric apparatus is configured to create a calibration profile for said one or more health parameters of said user based upon information from said biometric sensor, said calibration profile configured for use in situationally calibrating said biometric sensor, said situationally calibrating enabling said system to distinguish between said physiological and detrimental change and said physiological and not detrimental change.

22. The system of claim 1, wherein:

said wearable biometric apparatus is configured to receive profile information for a predetermined activity from said user.

23. The system of claim 1, wherein:

calibration of said wearable biometric apparatus is automatically changed based upon a selective count of biometric sensors in said system.

24. The system of claim 1, wherein:

said biometric sensor is calibrated based upon sensor signals from a plurality of locations of a body of said user.

25. The system of claim 1, wherein:

said wearable biometric apparatus is operable to transmit medical information of said user to an emergency medical system.

26. The system of claim 1, wherein:

said wearable biometric apparatus is configured to measure brain waves of said user via an electroencephalogram.

27. The system of claim 1, wherein:

said biometric sensor is an electrocardiogram sensor that comprises at least one of a titanium nitride lead, a titanium carbide lead, or a carbo-nitride lead.

28. The system of claim 1, wherein:

said biometric sensor is one of a plurality of electrocardiogram sensors that substantially surround an extremity of said user.

29. The system of claim 1, wherein:

said biometric sensor comprises a hydrophobic coating.

30. The system of claim 1, wherein:

said wearable biometric apparatus is configured to transmit a signal responsive to said user touching said wearable biometric apparatus.

31. The system of claim 1, wherein:

said wearable biometric apparatus is configured to request a measurement from said biometric sensor responsive to a detected predetermined motion of user.

32. The system of claim 1, further comprising:

a processor operable to provide information to an entity.

33. The system of claim 1, further comprising:

a power supply configured to provide energy to said wearable biometric apparatus, said power supply comprising a charging mechanism.

34. The system of claim 1, further comprising:

a signal filter configured to average signals from said biometric sensor.

35. The system of claim 1, further comprising:

a processor configured to create a model of a signal based upon;

areas of biometric data in which a level of data certainty is created;

or

cleaned data via a reconstruction based upon a noisy signal.

36. The system of claim 1, wherein:

comparing said plurality of snapshots includes comparing at least one of said plurality of snapshots to a standard snapshot.

37. The system of claim 1, wherein:

said wearable biometric apparatus comprises a medical device mode and a non-medical device mode, said wearable biometric apparatus configured to render a medical diagnosis when in medical device mode or a warning of said change, said wearable biometric apparatus is configured to render the warning of said change when in non-medical device mode.

38. The system of claim 1, wherein:

said wearable biometric apparatus comprises a plurality of biometric sensors, said wearable biometric apparatus is configured to use data from said plurality of biometric sensors to account for disturbances or to boost data certainty.

39. The system of claim 1, wherein:

said wearable biometric apparatus is configured to render an indication of a deviation of data from said biometric sensor from a baseline value or a population norm.

40. The system of claim 1, wherein:

said wearable biometric apparatus is configured to render;

substantially all data from said biometric sensor over a determined time period; and

a confidence interval.

41. The system of claim 1, wherein:

when said movement of said user is consistent with a calibration profile, then said change is determined to be said physiological and not detrimental change, and

said calibration profile includes typical health parameters of said user.

42. A system comprising:

a wearable biometric apparatus wearable by a user, said wearable biometric apparatus including a biometric sensor situationally calibrated based on a physically-measured value of said user measured by said system during a movement of said user, said biometric sensor configured to measure biometric data from said user and generate one or more processed signals based on said biometric data; and

at least one primary processor in communication with said biometric sensor, said at least one primary processor receiving said one or more processed signals and determining a confidence level based on said one or more processed signals, said at least one primary processor determining whether said user has experienced a change that is a physiological and detrimental change or a physiological and not detrimental change based on said confidence level and a change in one or more health parameters of said user, said one or more health parameters generated based on said one or more processed signals, said at least one primary processor determining an action based on said change, said action including automatically notifying at least one of said user or an emergency medical system when said user has experienced said physiological and detrimental change.

43. The system of claim 42, wherein:

said at least one primary processor receives said one or more processed signals via a wireless transmitter.

44. The system of claim 42, wherein:

said at least one primary processor is configured to determine that said change in said one or more health parameters has occurred in said user based upon changes in at least one of a QRS complex and a Peak-Peak interval.

45. The system of claim 42, wherein:

said physically-measured value of said user is used to create a calibration profile for health parameters of said user.

46. The system of claim 45, wherein:

said calibration profile enabling said system to distinguish between said physiological and detrimental change and said physiological and not detrimental change when said user is performing said movement, and

said movement is consistent with a physical activity of said user.

47. A system comprising:

a wearable biometric apparatus wearable by a user on a wrist of said user, said wearable biometric apparatus including a biometric sensor situationally calibratable based on a physically-measured value of said user measured by said system during a movement of said user, said biometric sensor configured to measure biometric data from said user and generate one or more processed signals based on said biometric data; and

at least one primary processor in communication with said biometric sensor, said at least one primary processor receiving said one or more processed signals, said at least one primary processor determining whether said user has experienced a change that is a physiological and detrimental change or a physiological and not detrimental change based on a comparison of a plurality of snapshots of one or more health parameters of said user, said one or more health parameters generated based on said one or more processed signals, said at least one primary processor determining an action based on said change, said action including automatically notifying at least one of said user, an emergency medical system, or a remote device when said user has experienced said physiological and detrimental change.

48. The system of claim 47, wherein:

said at least one primary processor receives said signals via a wireless transmitter.

49. The system of claim 47, wherein:

the comparison of said plurality of snapshots includes determining a change in said one or more health parameters has occurred in said user based upon changes in at least one of a QRS complex and a Peak-Peak interval.

50. The system of claim 47, wherein:

said at least one primary processor is configured to include the physically-measured value in a calibration profile,

said calibration profile enabling said system to distinguish between said physiological and detrimental change and said physiological and not detrimental change when said user is performing said movement, and

said movement is consistent with a physical activity of said user.

51. The system of claim 47, wherein:

comparing said plurality of snapshots includes comparing at least one of said plurality of snapshots to a standard snapshot.

52. The system of claim 47, wherein:

said at least one primary processor is configured to create a calibration profile for said one or more health parameters of said user based upon information from said biometric sensor, said calibration profile configured for use in calibrating said biometric sensor.

53. The system of claim 47, wherein:

said wearable biometric apparatus is configured to render;

substantially all data from said biometric sensor over a determined time period; and

a confidence interval.

54. A system comprising:

a biometric apparatus including a biometric sensor wearable by a user and situationally calibratable based on a physically-measured value of said user measured by said system during a movement of said user, said biometric sensor configured to measure biometric data from said user and generate one or more processed signals based on said biometric data; and

at least one primary processor in communication with said biometric sensor, said at least one primary processor receiving said one or more processed signals, said at least one primary processor determining whether said user has experienced a physiological change based on one or more changes in at least one of a QRS complex or a Peak-Peak interval, said at least one primary processor determining whether said physiological change is a detrimental change or a not detrimental change based on a comparison of one or more health parameters generated based on said one or more processed signals, said at least one primary processor determining an action based on whether said physiological change is said detrimental change or said not detrimental change, said action including automatically notifying at least one of said user, an emergency medical system, or a remote device identifying whether said physiological change is said detrimental change or said not detrimental change.

55. The system of claim 54, wherein:

said at least one primary processor receives said signals via a wireless transmitter.

56. The system of claim 54, wherein:

said physically-measured value is included, via said at least one primary processor, in a calibration profile, and

said calibration profile providing a set of correlated readings for said user related to said movement to enable a determination of whether said physiological change is one of said detrimental change or said not detrimental change.

57. The system of claim 54, wherein:

comparing said one or more health parameters includes comparing a plurality of snapshots with each other comparing at least one of said plurality of snapshots to a standard snapshot.

58. The system of claim 54, wherein:

said at least one primary processor is configured to create a calibration profile for health parameters of said user based upon information from said biometric sensor, said calibration profile configured for use in calibrating said biometric sensor.

59. The system of claim 54, wherein:

said biometric apparatus is configured to render;

substantially all data from said biometric sensor over a determined time period; and

a confidence interval.