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Title:
GENERATION METHOD FOR ABNORMALITY DETERMINATION MODEL, ABNORMALITY DETERMINATION DEVICE, ABNORMALITY DETERMINATION METHOD, AND LEARNT MODEL
Document Type and Number:
Japanese Patent JP2023125820
Kind Code:
A
Abstract:
To provide a method of generating an abnormality determination model capable of excellent abnormality determination of a subject based on load detection.SOLUTION: A generation method for an abnormality determination model includes: detecting load of a subject by a load sensor arranged on a bed; creating teacher data associating each of many kinds of feature amounts based on the detected load with an abnormal state; creating a model classifying a state of the subject into the abnormal condition on the basis of the many kinds of feature amounts by machine learning with a teacher using the teacher data; determining at least one of the many kinds of feature amounts on the basis of the model as an explanatory variable; and generating an abnormality determination model determining by machine learning using the explanatory variable that the subject is in the abnormal state on the basis of the explanatory variable. The many kinds of feature amounts include frequency feature amounts calculated by performing Fourier transformation of the load of the subject for a short time.SELECTED DRAWING: Figure 8

Inventors:
FUSE TORU
ZAITSU YUSUKE
Application Number:
JP2022030136A
Publication Date:
September 07, 2023
Filing Date:
February 28, 2022
Export Citation:
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Assignee:
MINEBEAMITSUMI INC
International Classes:
A61B5/08; A61B5/11; G06N20/00
Attorney, Agent or Firm:
Kijuro Kawakita
Masahiro Fujita
Ikuo Kawamura