Development of a Fast-Running Algorithm to Approximate Incident Blast Parameters Using Body-Mounted Sensor Measurements
CONCLUSIONS: This paper presents a standardized approach-the FAST algorithms-to analyze body-mounted blast sensor data. FAST algorithms account for the effects of shock interactions with the body to produce an estimate of incident blast conditions, allowing for direct comparison of individual exposure from different blast events. The continuing development of FAST algorithms will include heavy weapons, providing a singular capability to rapidly interpret body-worn sensor data, and provide standard output for analysis of an individual's unique blast exposure profile.PMID:34626472 | DOI:10.1093/milmed/usab411
Source: Military Medicine - Category: International Medicine & Public Health Authors: Suthee Wiri Charles Needham David Ortley Josh Duckworth Andrea Gonzales Timothy Walilko Timothy B Bentley Source Type: research
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