OMB Individually Reported
Deep Learning Inhale Breath Detection Model to Support CO2 Washout Suit TestingInspired CO2 Algorithm for Respiration User Signals (ICARUS): A Deep Learning Model to Enable Real-Time and Post-Test ppCO2 Inspired Calculations
Low riskExact public inventory row
Description
A Deep Learning Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) model is being developed for determining the start and end of inhale breaths for CO2 washout suit testing.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
A Deep Learning Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) model is being developed for determining the start and end of inhale breaths for CO2 washout suit testing.
Controls / human review
ATO: Not reported; PIA: Not published