1999Unpublished venueRequires access

Altitude Decompression Sickness Risk Assessment Computer (ADRAC) Development

Andrew A. Pilmanis, Lambros Petropoulos, Nandini Kannan, Francine Evans, Neophytos Christodoulides

Open publisher page 2 citations

Abstract

High altitude exposure in aircraft, hypobaric chambers and with extravehicular activity (EVA) in space results in an inherent risk of altitude decompression sickness (DCS). In the past, general guidelines for safer altitude exposure have been developed through costly, time-consuming studies, each specific to unique scenarios of altitude exposure. Rapidly changing technology in aircraft design and mission requirements demand improved capabilities in predicting DCS risk during mission planning and execution. In 1990, a new bubble growth algorithm and a statistical model based on the existing USAF DCS Database were initiated at Brooks AFB. The first version of this combined model was completed in 1996. A model validation study using human subjects was completed in 1999. An updated version of this model based on the validation results has been produced and the software developed. A portable hand-held model is being developed for use in situations requiring more flexible operations (e.g.; high altitude parachuting). Application of this technology would specifically aid aviators, special operations personnel, and civilian aviators in determining altitude DCS risk.

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What this paper is about

High altitude exposure in aircraft, hypobaric chambers and with extravehicular activity (EVA) in space results in an inherent risk of altitude decompression sickness (DCS). In the past, general guidelines for safer altitude exposure have been developed through costly, time-consuming studies, each specific to unique scenarios of altitude exposure. Rapidly changing technology in aircraft design and mission requirements demand improved capabilities in predicting DCS risk during mission planning and execution. In 1990, a new bubble growth algorithm and a statistical model based on the existing USAF DCS Database were initiated at Brooks AFB. The first version of this combined model was completed in 1996. A model validation study using human subjects was completed in 1999. An updated version of this model based on the validation results has been produced and the software developed. A portable hand-held model is being developed for use in situations requiring more flexible operations (e.g.; high altitude parachuting). Application of this technology would specifically aid aviators, special operations personnel, and civilian aviators in determining altitude DCS risk.

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Available abstract

High altitude exposure in aircraft, hypobaric chambers and with extravehicular activity (EVA) in space results in an inherent risk of altitude decompression sickness (DCS). In the past, general guidelines for safer altitude exposure have been developed through costly, time-consuming studies, each specific to unique scenarios of altitude exposure. Rapidly changing technology in aircraft design and mission requirements demand improved capabilities in predicting DCS risk during mission planning and execution. In 1990, a new bubble growth algorithm and a statistical model based on the existing USAF DCS Database were initiated at Brooks AFB. The first version of this combined model was completed in 1996. A model validation study using human subjects was completed in 1999. An updated version of this model based on the validation results has been produced and the software developed. A portable hand-held model is being developed for use in situations requiring more flexible operations (e.g.; high altitude parachuting). Application of this technology would specifically aid aviators, special operations personnel, and civilian aviators in determining altitude DCS risk.

Key concepts: Decompression sickness, Altitude (triangle), Altitude sickness, Effects of high altitude on humans, Decompression, Aeronautics, Environmental science, Meteorology

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