METHOD AND SYSTEM FOR ESTIMATING ARTERIAL BLOOD BASED ON DEEP LEARNING

METHOD AND SYSTEM FOR ESTIMATING ARTERIAL BLOOD BASED ON DEEP LEARNING

Provided is a system for estimating arterial blood pressure based on deep learning. The system includes a sensing device configured to sense photoplethysmography from a predetermined body part and an arterial blood pressure estimation device which trains the learning model by setting the photoplethy...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: JIN, Yong Sik
Format: Patent
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung:Provided is a system for estimating arterial blood pressure based on deep learning. The system includes a sensing device configured to sense photoplethysmography from a predetermined body part and an arterial blood pressure estimation device which trains the learning model by setting the photoplethysmography provided from the sensing device as an input variable of a predetermined learning model that is pre-constructed and setting an estimated target value of the arterial blood pressure in a current time section and a predicted target value of the arterial blood pressure after the current time section as an output variable and which outputs the estimated target value or the predicted target value of the arterial blood pressure by performing deep learning on the photoplethysmography based on the learning model.