Medical respiration parameter measurement standard obtaining method based on chaos biological neurons

The invention discloses a medical respiration parameter measurement standard obtaining method based on chaos biological neurons, and relates to the field of respirator detection and calibration, and the medical respiration parameter measurement standard obtaining method comprises the following steps...

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Hauptverfasser: ZHANG YANFANG, PENG YUEHUI, WEI QIANGQIANG, SHI JINPING, PAN YUANJIANG, WANG CHUANQI
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creator ZHANG YANFANG
PENG YUEHUI
WEI QIANGQIANG
SHI JINPING
PAN YUANJIANG
WANG CHUANQI
description The invention discloses a medical respiration parameter measurement standard obtaining method based on chaos biological neurons, and relates to the field of respirator detection and calibration, and the medical respiration parameter measurement standard obtaining method comprises the following steps: initializing parameter calculation to obtain fitness; the chaos neuron is used for representing the advancing distance h of a piston of the medical breathing machine; updating the value of i and calculating the updated fitness; judging whether the fitness is better or not; if so, replacing the position of the piston; comparing the updated h with a threshold value hi, and if h is not equal to hi and the updating frequency of h reaches the maximum iteration frequency, or h reaches the maximum, executing subsequent steps; if the number of updating times of h does not reach the maximum number of iterations and h does not reach the maximum, returning to update i; calculating a gas cumulative flow based on h; the optim
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
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
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
MEDICAL OR VETERINARY SCIENCE
PHYSICS
title Medical respiration parameter measurement standard obtaining method based on chaos biological neurons
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