Blast exposure assessment system

US12007295B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12007295-B2
Application numberUS-202217683808-A
CountryUS
Kind codeB2
Filing dateMar 1, 2022
Priority dateMar 1, 2022
Publication dateJun 11, 2024
Grant dateJun 11, 2024

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Abstract

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A method, system, and computer-readable media for analyzing blast exposure data in which one or more spurious data features are identified, flagged, and removed from a set of pressure data received from a blast sensor. Pressure data sets are grouped based on waveform features to determine one or more incident overpressure parameters associated with a blast exposure event.

First claim

Opening claim text (preview).

Having thus described various embodiments of the invention, what is claimed as new and desired to be protected by Letters Patent includes the following: 1. A method for analyzing blast exposure data, the method comprising: receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors; for each set of raw pressure data of the plurality of sets of raw pressure data: applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data; identifying one or more spurious features within the set of filtered data; responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features; removing the one or more flagged portions of the set of filtered data; automatically identifying one or more waveform features within the set of filtered data; grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features; and estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping. 2. The method of claim 1 , further comprising: generating a blast exposure report for display within a graphical user interface, the blast exposure report including an indication of a number of blast events within a predefined range of incident overpressure. 3. The method of claim 1 , wherein the incident blast overpressure is estimated by applying a Friedlander equation to the two or more sets of filtered data within the blast event data grouping. 4. The method of claim 1 , further comprising: applying a time shift to one or more of the sets of filtered data to correct a clock drift within one or more of the plurality of blast sensors. 5. The method of claim 1 , wherein the one or more waveform features comprise any combination of a number of peaks, a peak overpressure, a positive phase duration, and a peak overpressure impulse. 6. The method of claim 1 , further comprising: storing one or more files comprising the estimated incident blast overpressure within a data store. 7. The method of claim 1 , further comprising: selecting a baseline shift value for the baseline shift based on a beginning portion, an end portion, and a slope of the set of raw pressure data. 8. A system for analyzing blast exposure data, the system comprising: a data store; and at least one processor programmed to perform a blast exposure analysis method, the method comprising: receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors; for each set of raw pressure data of the plurality of sets of raw pressure data: applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data; identifying one or more spurious features within the set of filtered data; responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features; removing the one or more flagged portions of the set of filtered data; automatically identifying one or more waveform features within the set of filtered data; grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features; estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping; and storing one or more files comprising the estimated incident blast overpressure within the data store. 9. The system of claim 8 , wherein the one or more spurious features includes any combination of a negative spike, a negative value prior to a pressure rise, a plateau of sustained increased overpressure, or a square wave. 10. The system of claim 8 , wherein the plurality of blast sensors comprises a head-mounted sensor, a chest-mounted sensor, and a shoulder-mounted sensor. 11. The system of claim 10 , further comprising: applying a time shift to one or more of the sets of filtered data to correct a clock drift within one or more of the plurality of blast sensors. 12. The system of claim 8 , wherein the one or more filters comprise a 4-pole Butterworth filter. 13. The system of claim 8 , further comprising: generating a blast exposure report for display within a graphical user interface, the blast exposure report including an indication of a number of blast events within a predefined range of incident overpressure, wherein the blast exposure report is based at least in part on the one or more stored files comprising the estimated incident blast overpressure. 14. The system of claim 8 , wherein the one or more waveform features are identified by fitting a Friedlander equation to the filtered data. 15. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by at least one processor, perform a method for analyzing blast exposure data, the method comprising: receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors; for each set of raw pressure data of the plurality of sets of raw pressure data: applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data; identifying one or more spurious features within the set of filtered data; responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features; removing the one or more flagged portions of the set of filtered data; automatically identifying one or more waveform features within the set of filtered data; grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features; and estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping. 16. The computer-readable media of claim 15 , further comprising: applying a time shift to one or more of the sets of filtered data to correct a clock drift within one or more of the plurality of blast sensors. 17. The computer-readable media of claim 15 , further comprising: estimating an incident blast impulse based on the two or more sets of filtered data within the blast event data grouping. 18. The computer-readable media of claim 17 , further comprising: storing one or more files comprising the estimated incident blast overpressure and the estimated incident blast impulse. 19. The computer-readable media of claim 18 , further comprising: generating a b

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Classifications

  • Alarms for ensuring the safety of persons · CPC title

  • G01L5/14Primary

    for measuring the force of explosions; for measuring the energy of projectiles · CPC title

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What does patent US12007295B2 cover?
A method, system, and computer-readable media for analyzing blast exposure data in which one or more spurious data features are identified, flagged, and removed from a set of pressure data received from a blast sensor. Pressure data sets are grouped based on waveform features to determine one or more incident overpressure parameters associated with a blast exposure event.
Who is the assignee on this patent?
Applied Res Associates Inc
What technology area does this patent fall under?
Primary CPC classification G01L5/14. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 11 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).