Fig. 1: Overview of the AI model for PD diagnosis and disease severity prediction from nocturnal breathing signals. | Nature Medicine

Fig. 1: Overview of the AI model for PD diagnosis and disease severity prediction from nocturnal breathing signals.

From: Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals

Fig. 1

The system extracts nocturnal breathing signals either from a breathing belt worn by the subject, or from radio signals that bounce off their body while asleep. It processes the breathing signals using a neural network to infer whether the person has PD, and if they do, assesses the severity of their PD in accordance with the MDS-UPDRS.

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