A COMPUTER IMPLEMENTED METHOD FOR ADAPTIVE PHYSIOLOGY-BASED MONITORING OF A SUBJECT

• Main Author: DOS SANTOS DA FONSECA, Pedro Miguel Ferreira
• Format: Patent
• Language: English; French; German
• Published: 26.06.2024
• Subjects: DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROMTHE BODY; DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention provides a computer implemented method of providing physiological status monitoring. The method comprises receiving subject data (the subject data comprising physiological sensor data and reference physiological status data) and adapting a trained machine learning model for monitoring a physiological status. The trained machine learning model is configured to receive, as input, physiological sensor data and determine, as output, a physiological status of the subject. The trained machine learning model is configured to determine the output physiological status of the subject, based on the input physiological data, according to a plurality of weights. Adapting the trained machine learning model comprises re-training the trained machine learning model, based on the subject data by maintaining the values of a fixed set of the plurality of weights and changing the values of a variable set of the plurality of weights.