Apparatuses, Methods, Processes, and Systems Related to Significant Detrimental Changes in Health Parameters and Activating Lifesaving Measures

• US 20150366518A1
• Filed: 06/23/2015
• Published: 12/24/2015
• Est. Priority Date: 06/23/2014
• Status: Active Grant

• Current Assignee: Sherlock Solutions LLC
• Original Assignee: Sherlock Solutions LLC
• Inventors: Sampson, Robert
• Granted Patent: US 10,478,127 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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:

an apparatus wearable by a user, said apparatus comprising;

a biometric sensor constructed to generate signals based upon measurements of said user;

a processor constructed to;

determine a confidence level associated with said signals;

determine a significant detrimental change in said user via an algorithm based upon said signals and said confidence level, said significant detrimental change determined via decision tree;

depending on a recommended action determined by a decision tree, either automatically notify an emergency medical system concerning activation of said apparatus or prompt said user to activate said apparatus with said emergency medical system.

2. The system of claim 1, wherein:

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

3. The system of claim 1, wherein:

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

4. The system of claim 1, wherein:

said biometric sensor is an electrocardiogram sensor, said biometric sensor constructed to couple to said user in at least two locations.

5. The system of claim 1, wherein:

said biometric sensor is a heart rate monitor.

6. The system of claim 1, wherein:

said biometric sensor is a laser Doppler flowmeter.

7. The system of claim 1, wherein:

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

8. The system of claim 1, wherein:

said algorithm analyzes a snapshot of said signals.

9. The system of claim 1, wherein:

said apparatus constructed to automatically notify said user of said significant detrimental change.

10. The system of claim 1, wherein:

said apparatus constructed to prompt said user to submit past, family, and social history information via a user interface of said apparatus or said processor and automatically communicate past, family, and social history of said user to said emergency medical system.

11. 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.

12. The system of claim 1, wherein:

said algorithm uses at least one of photoplethysmogram sensor data or electrocardiogram sensor data.

13. The system of claim 1, wherein:

said apparatus is constructed to allow said user to cancel an information transmission to said emergency medical system.

14. The system of claim 1, wherein:

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

15. The system of claim 1, wherein:

said algorithm is constructed to determine that a stroke has occurred based upon ST segment depression.

16. The system of claim 1, wherein:

said algorithm is constructed to determine that said significant detrimental change in health parameters has occurred in said user based upon changes in at least one of a QRS complex and a Peak-Peak interval.

17. The system of claim 1, wherein:

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

18. The system of claim 1, wherein:

said apparatus creates a calibration profile for health parameters of said user based upon information from said biometric sensor, said calibration profile constructed for use in calibrating said biometric sensor.

19. The system of claim 1, wherein:

said apparatus is constructed to receive profile information for a predetermined activity from said user.

20. The system of claim 1, wherein:

said algorithm is automatically changed based upon a selective count of biometric sensors in said system.

21. 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.

22. The system of claim 1, wherein:

responsive to a signal from said user requesting panic activation, said apparatus is constructed to be activated on said emergency medical system and transmit medical information concerning said user to said emergency medical system.

23. The system of claim 1, wherein:

said apparatus is worn on a wrist of said user.

24. The system of claim 1, wherein:

said apparatus is constructed to measure brain waves of said user via an electroencephalogram.

25. The system of claim 1, wherein:

said apparatus partially surrounds a head of said user.

26. 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.

27. 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.

28. The system of claim 1, wherein:

said biometric sensor comprises a hydrophobic coating.

29. The system of claim 1, wherein:

said apparatus is constructed to transmit a signal responsive to said user touching a case of said apparatus.

30. The system of claim 1, wherein:

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

31. The system of claim 1, wherein:

said apparatus is constructed to transmit a signal responsive to said user pressing a finger against said biometric sensor.

32. The system of claim 1, wherein:

said processor provides information to an entity.

33. The system of claim 1, further comprising:

a power supply constructed to provide energy to said apparatus, said power supply comprising a charging mechanism.

34. The system of claim 1, further comprising:

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

35. The system of claim 1, further comprising:

a processor constructed to create a model of a signal based upon areas deemed accurate derived from a messy signal.

36. The system of claim 1, wherein:

said system is constructed to;

analyze and compare a plurality of snapshots with each other; and

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

37. The system of claim 1, wherein:

said apparatus comprises a medical device mode and a non-medical device mode, said apparatus constructed to render a medical diagnosis when in medical device mode or a warning of said significant detrimental change, said apparatus constructed to render a warning of said significant detrimental change when in non-medical device mode.

38. The system of claim 1, wherein:

said apparatus comprises a plurality of biometric sensors, said apparatus constructed 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 apparatus is constructed 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 apparatus is constructed to render;

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

said confidence level.

41. A method comprising:

producing an apparatus wearable by a user, said apparatus comprising;

a biometric sensor;

a signal filter constructed to average signals from said biometric sensor;

a wireless transmitter/receiver constructed to;

receive information concerning an established confidence interval for said averaged signals; and

receive information concerning predicted timing of a signal from said biometric sensor based upon a pulse oximeter obtained via at least one of;

said pulse oximeter of said user bounded by a QRS complex;

or

electrical waves of said QRS complex in consideration of information from a photoplethysmogram.

42. The method of claim 41, further comprising:

activating said apparatus with an emergency medical system.

43. The method of claim 41, further comprising:

via a processor, comparing a snapshot of a model of a heartbeat of said user obtained from said biometric sensor with a recognized population norm to decide if a significant detrimental change in health related parameters has occurred.

44. The method of claim 41, further comprising:

via a processor, comparing a snapshot of a model of a heartbeat of said user obtained from said biometric sensor with a previous snapshot obtained from said user to decide if a significant detrimental change in health related parameters has occurred.

45. The method of claim 41, further comprising:

via said wireless transmitter/receiver, transmitting data from said biometric sensor at a predetermined time after a prior transmission.

46. The method of claim 41, further comprising:

via said wireless transmitter/receiver, transmitting data from said biometric sensor responsive to a determination that a count of readings from said biometric sensor exceeds a predetermined threshold.

47. The method of claim 41, further comprising:

via said wireless transmitter/receiver, transmitting compressed data from said biometric sensor.

48. The method of claim 41, further comprising:

via said wireless transmitter/receiver, receiving a request from a processor for data required to reconstruct an accurate snapshot, said request based upon an analysis of minimal received data and a determination that said minimal received data is insufficient to reconstruct said accurate snapshot.

49. The method of claim 41, further comprising:

requesting snapshot information stored in a database.

50. The method of claim 41, further comprising:

via information obtained from a motion sensor, compensating for movements of a body part of said user.

51. A system comprising:

an apparatus wearable by a user, said apparatus comprising;

a biometric sensor constructed to generate signals based upon measurements of said user;

a wireless transmitter, said wireless transmitter constructed to wirelessly transmit said signals to an information device via a network, said information device constructed to;

determine a confidence level associated with said signals;

determine a significant detrimental change in said user via an algorithm based upon said signals and said confidence level, said significant detrimental change determined via decision tree;

relay information concerning said significant detrimental change to said apparatus; and

depending on a recommended action determined by a decision tree, either automatically notify an emergency medical system concerning activation of said apparatus or prompt said user to activate said apparatus with said emergency medical system.