DYNAMIC MANAGEMENT OF OXYGEN CONSUMPTION VIA MACHINE LEARNING
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United States of America
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Issued Date -
Nov 21, 2024
app pub date -
May 18, 2023
filing date -
May 18, 2023
priority date (Note) -
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status (Latency Note)
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Abstract
An approach for providing real-time information and guidance for oxygen management to a user operating a self-contained breathing apparatus (SCBA) is disclosed. The approach receives data from IoT devices associated with a user, analyzes the data using machine learning algorithms trained on a dataset of historical data and simulated scenarios. The approach generates an oxygen-use prediction based on the analyzing. Furthermore, the approach generates one or more recommendations based on the prediction and displaying the prediction and the recommendation on a HUD (head up display) of a user.
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