Data Aggregation Platform

• US 20120290266A1
• Filed: 05/13/2011
• Published: 11/15/2012
• Est. Priority Date: 05/13/2011
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Jain, Jawahar, Marvit, David Loren, Adler, B. Thomas, Balakrishnan, Rajalakshmi, Gilman, Alexander, Stergiou, Stergios, Braun, Albert C., Reinhardt, Albert H.M.
• Granted Patent: US 8,725,462 B2
• Time in Patent Office: Days
• US Class Current: 702/187
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

In particular embodiments, a method includes accessing an original data stream from a sensor, associating a timestamp with each of the samples in the data stream based on a system clock, and recording the original data stream with the associated timestamps.

Claims

1. A method comprising:

by a mobile computing device of a person, accessing an original data stream from each of one or more sensors, each of the original data streams comprising a series of samples that each represent a measurement of a stimulus sensed by the sensor that the original data stream is from, one or more of the sensors being affixed to the person'"'"'s body;

by the mobile computing device, associating a system timestamp with each of the samples based on a system clock, the system clock operating independent of the plurality of sensors;

by the mobile computing device, recording the original data streams with the system timestamps associated with their samples for correlation of the original data streams with each other or with information outside the data streams.

2. The method of claim 1, wherein each of one or more of the sensors associates original timestamps to the samples in its original data stream and its original data stream comprises the original timestamps with the samples.

3. The method of claim 1, wherein recording the original data streams with the system timestamps comprises storing the original data streams as one or more binary decision diagrams (BDDs).

4. The method of claim 1, wherein each of the samples is recorded within a tuple.

5. The method of claim 1, further comprising:

generating from one or more of the original data streams a derivative data stream comprising a series of samples;

associating a system timestamp to each of the samples in the derivative data stream based on the system clock; and

recording the derivative data stream with the system timestamps associated with its samples for correlation of the derivative data stream with one or more of the original data streams or with information outside the derivative and original data streams.

6. The method of claim 1, wherein accessing one or more of the data streams comprises receiving the data streams across one or more wireless interfaces between the mobile computing device of the person and one or more of the sensors.

7. The method of claim 1, further comprising transmitting the original data streams with the system timestamps associated with their samples for the correlation of the original data streams with each other or with information outside the data streams.

8. The method of claim 7, wherein transmitting the original data streams with the system timestamps associated with their samples comprises transmitting the original data streams with the system timestamps associated with their samples to one or more web servers.

9. The method of claim 1, wherein one or more of the original data streams comprise physiological data of the person.

10. The method of claim 1, further comprising, by the mobile computing device, using the system timestamps associated with the samples to correlate the original data streams with each other or with information outside the data streams.

11. The method of claim 10, further comprising, by the mobile computing device, transmitting the system timestamps with the results of correlating the original data streams with each other or with information outside the data streams.

12. The method of claim 10, further comprising, by the mobile computing device, transmitting a start time and a sampling frequency with the results of correlating the original data streams with each other or with information outside the data streams.

13. An apparatus comprising:

one or more processors; and

a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to;

access an original data stream from each of one or more sensors, each of the original data streams comprising a series of samples that each represent a measurement of a stimulus sensed by the sensor that the original data stream is from, one or more of the sensors being affixed to the person'"'"'s body;

associate a system timestamp with each of the samples based on a system clock, the system clock operating independent of the plurality of sensors;

record the original data streams with the system timestamps associated with their samples for correlation of the original data streams with each other or with information outside the data streams.

14. The apparatus of claim 13, wherein each of one or more of the sensors associates original timestamps to the samples in its original data stream and its original data stream comprises the original timestamps with the samples.

15. The apparatus of claim 13, wherein to record the original data streams with the system timestamps comprises to store them as one or more binary decision diagrams (BDDs).

16. The apparatus of claim 13, wherein each of the samples is recorded within a tuple.

17. The apparatus of claim 13, the apparatus further operable when executing instructions to:

generate from one or more of the original data streams a derivative data stream comprising a series of samples;

associate a system timestamp to each of the samples in the derivative data stream based on the system clock; and

record the derivative data stream with the system timestamps associated with its samples for correlation of the derivative data stream with one or more of the original data streams or with information outside the derivative and original data streams.

18. The apparatus of claim 13, wherein to access one or more of the data streams comprises to receive the data streams across one or more wireless interfaces between the mobile computing device of the person and one or more of the sensors.

19. The apparatus of claim 13, the apparatus further operable when executing instructions to transmit the original data streams with the system timestamps associated with their samples for the correlation of the original data streams with each other or with information outside the data streams.

20. The apparatus of claim 19, wherein to transmit the original data streams with the system timestamps associated with their samples comprises to transmit the original data steams with the system timestamps associated with their samples to one or more web servers.

21. The apparatus of claim 13, wherein one or more of the original data streams comprise physiological data of the person.

22. The apparatus of claim 13, the apparatus further operable when executing instructions to use the system timestamps associated with the samples to correlate the original data streams with each other or with information outside the data streams.

23. The apparatus of claim 22, the apparatus further operable when executing instructions to transmit the system timestamps with the results of correlating the original data streams with each other or with information outside the data streams.

24. The apparatus of claim 22, the apparatus further operable when executing instructions to transmit a start time and a sampling frequency with the results of correlating the original data streams with each other or with information outside the data streams.

25. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

access an original data stream from each of one or more sensors, each of the original data streams comprising a series of samples that each represent a measurement of a stimulus sensed by the sensor that the original data stream is from, one or more of the sensors being affixed to the person'"'"'s body;

associate a system timestamp with each of the samples based on a system clock, the system clock operating independent of the plurality of sensors;

record the original data streams with the system timestamps associated with their samples for correlation of the original data streams with each other or with information outside the data streams.

26. The media of claim 25, wherein each of one or more of the sensors associates original timestamps to the samples in its original data stream and its original data stream comprises the original timestamps with the samples.

27. The media of claim 25, wherein to record the original data streams with the system timestamps comprises to store the original data streams as one or more binary decision diagrams (BDDs).

28. The media of claim 25, wherein each of the samples is recorded within a tuple.

29. The media of claim 25, the media embodying instructions that are further operable when executed to:

generate from one or more of the original data streams a derivative data stream comprising a series of samples;

associate a system timestamp to each of the samples in the derivative data stream based on the system clock; and

record the derivative data stream with the system timestamps associated with its samples for correlation of the derivative data stream with one or more of the original data streams or with information outside the derivative and original data streams.

30. The media of claim 25, wherein to access one or more of the data streams comprises to receive the data streams across one or more wireless interfaces between the mobile computing device of the person and one or more of the sensors.

31. The media of claim 25, the media embodying instructions that are further operable when executed to transmit the original data streams with the system timestamps associated with their samples for the correlation of the original data streams with each other or with information outside the data streams.

32. The media of claim 31, wherein to transmit the original data streams with the system timestamps associated with their samples comprises to transmit the original data streams with the system timestamps associated with their samples to one or more web servers.

33. The media of claim 25, wherein one or more of the original data streams comprise physiological data of the person.

34. The media of claim 25, the media embodying instructions that are further operable when executed to use the system timestamps associated with the samples to correlate the original data streams with each other or with information outside the data streams.

35. The media of claim 34, the media embodying instructions that are further operable when executed to transmit the system timestamps with the results of correlating the original data streams with each other or with information outside the data streams.

36. The media of claim 34, the media embodying instructions that are further operable when executed to transmit a start time and a sampling frequency with the results of correlating the original data streams with each other or with information outside the data streams.

37. A data aggregation system comprising:

means for accessing an original data stream from each of one or more sensors, each of the original data streams comprising a series of samples that each represent a measurement of a stimulus sensed by the sensor that the original data stream is from, one or more of the sensors being affixed to the person'"'"'s body;

means for associating a system timestamp with each of the samples based on a system clock, the system clock operating independent of the plurality of sensors;

means for recording the original data streams with the system timestamps associated with their samples for correlation of the original data streams with each other or with information outside the data streams.

38. The system of claim 37, wherein each of one or more of the sensors associates original timestamps to the samples in its original data stream and its original data stream comprises the original timestamps with the samples.

39. The system of claim 37, wherein the means for recording the original data streams with the system timestamps comprises means for storing the original data streams as one or more binary decision diagrams (BDDs).

40. The system of claim 37, wherein each of the samples is recorded within a tuple.

41. The system of claim 37, further comprising:

means for generating from one or more of the original data streams a derivative data stream comprising a series of samples;

means for associating a system timestamp to each of the samples in the derivative data stream based on the system clock; and

means for recording the derivative data stream with the system timestamps associated with its samples for correlation of the derivative data stream with one or more of the original data streams or with information outside the derivative and original data streams.

42. The system of claim 37, wherein the means for accessing one or more of the data streams comprises means for receiving the data streams across one or more wireless interfaces between the mobile computing device of the person and one or more of the sensors.

43. The system of claim 37, further comprising means for transmitting the original data streams with the system timestamps associated with their samples for the correlation of the original data streams with each other or with information outside the data streams.

44. The system of claim 43, wherein the means for transmitting the original data streams with the system timestamps associated with their samples comprises means for transmitting the original data streams with the system timestamps associated with their samples to one or more web servers.

45. The system of claim 37, wherein one or more of the original data streams comprise physiological data of the person.

46. The system of claim 37, further comprising means for using the system timestamps associated with the samples to correlate the original data streams with each other or with information outside the data streams.

47. The system of claim 46, further comprising, means for transmitting the system timestamps with the results of correlating the original data streams with each other or with information outside the data streams.

48. The system of claim 46, further comprising means for transmitting a start time and a sampling frequency with the results of correlating the original data streams with each other or with information outside the data streams.

49. A method comprising:

by a mobile computing device of a person, transmitting a system timestamp based on a system clock to one or more sensors;

by the mobile computing device, accessing a data stream from each of the one or more sensors, each of the original data streams comprising a series of samples that each represent a measurement of a stimulus sensed by the sensor that the original data stream is from, each sample associated with the system timestamp, one or more of the sensors being affixed to the person'"'"'s body;

by the mobile computing device, recording the original data streams with the system timestamps associated with their samples for correlation of the original data streams with each other or with information outside the data streams.