Blood pressure estimation method and system based on multiple classification heads and weighted mean square error

The invention discloses a blood pressure estimation method and system based on a multi-classification head and a weighted mean square error, and the method comprises the steps: preprocessing obtained photoelectric volume pulse wave data, and inputting the data into a blood pressure estimation model,...

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Hauptverfasser: CHEN XIN, WANG FANGBING, ZHOU YUAN'EN, SUN XIAO, YANG QIU
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creator CHEN XIN
WANG FANGBING
ZHOU YUAN'EN
SUN XIAO
YANG QIU
description The invention discloses a blood pressure estimation method and system based on a multi-classification head and a weighted mean square error, and the method comprises the steps: preprocessing obtained photoelectric volume pulse wave data, and inputting the data into a blood pressure estimation model, so as to output predicted systolic pressure and predicted diastolic pressure; the training process of the blood pressure estimation model is as follows: performing time sequence operation on acquired photoelectric volume pulse wave data through a sliding window to obtain photoelectric volume pulse wave data with time sequence information; a weight n1 is given to data, smaller than a lower limit threshold value, in the photoelectric volume pulse wave data with the time sequence information, a weight n2 is given to data located between the lower limit threshold value and an upper limit threshold value, and the photoelectric volume pulse wave data with the time sequence information after being given with the weight i
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subjects 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
title Blood pressure estimation method and system based on multiple classification heads and weighted mean square error
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