Fig. 1 | Scientific Reports

Fig. 1

From: Artificial intelligence based platform for the automatic and simultaneous explainable detection of apnoea, oxygen desaturation, and artefacts in paediatric polygraphy exams (REST)

Fig. 1The alternative text for this image may have been generated using AI.

REST platform: the first step consists of the data acquisition, i.e., nasal airflow, chest and abdominal band, pulse, and oxygen saturation signals on paediatric patients (a). Then the signals are preprocessed, i.e., signal autoscaling and windowing (b). Signals are then fed in three monodimensional convolutional neural network for the simultaneous detection of apnoea, desaturations, and artefacts events (c). Lastly, an explanation of the decision process is given, highlighting the portions of the input signals that gave the main contribution to the final outcomes (d).

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