KR20220142497A - 자동배설처리장치、관리시스템、판정방법 및 프로그램 - Google Patents

자동배설처리장치、관리시스템、판정방법 및 프로그램 Download PDF

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KR20220142497A
KR20220142497A KR1020227032085A KR20227032085A KR20220142497A KR 20220142497 A KR20220142497 A KR 20220142497A KR 1020227032085 A KR1020227032085 A KR 1020227032085A KR 20227032085 A KR20227032085 A KR 20227032085A KR 20220142497 A KR20220142497 A KR 20220142497A
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cup
captured image
state
determination unit
automatic excretion
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Korean (ko)
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마사키 세키노
야스히로 오카다
유키 스나가
토미오 아다치
Original Assignee
고쿠리츠다이가쿠호우진 도쿄다이가쿠
가부시키가이샤 리버티솔루션
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F5/00—Orthopaedic methods or devices for non-surgical treatment of bones or joints; Nursing devices ; Anti-rape devices
    • A61F5/44—Devices worn by the patient for reception of urine, faeces, catamenial or other discharge; Colostomy devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A61B10/0038—Devices for taking faeces samples; Faecal examination devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A61B10/0045—Devices for taking samples of body liquids
    • A61B10/007—Devices for taking samples of body liquids for taking urine samples
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/14507—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue specially adapted for measuring characteristics of body fluids other than blood
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G—PHYSICS
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Evolutionary Computation (AREA)
  • Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Surgery (AREA)
  • Databases & Information Systems (AREA)
  • Nursing (AREA)
  • Orthopedic Medicine & Surgery (AREA)
  • Epidemiology (AREA)
  • Vascular Medicine (AREA)
  • Biophysics (AREA)
  • Hematology (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Optics & Photonics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biodiversity & Conservation Biology (AREA)
KR1020227032085A 2020-03-18 2021-03-10 자동배설처리장치、관리시스템、판정방법 및 프로그램 Ceased KR20220142497A (ko)

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US202062991082P 2020-03-18 2020-03-18
US62/991,082 2020-03-18
PCT/JP2021/009542 WO2021187272A1 (ja) 2020-03-18 2021-03-10 自動排泄処理装置、管理システム、判定方法、およびプログラム

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US (1) US20230172744A1 (https=)
JP (1) JP7093980B2 (https=)
KR (1) KR20220142497A (https=)
CN (1) CN115279309A (https=)
WO (1) WO2021187272A1 (https=)

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CA3137612A1 (en) * 2021-11-05 2023-05-05 Pulsemedica Corp. Hybrid classifier training for feature extraction
JP2023171035A (ja) * 2022-05-20 2023-12-01 キヤノン株式会社 画像認識方法、プログラム、記録媒体及び画像認識装置
US12539015B2 (en) * 2023-09-05 2026-02-03 Midea Group Co., Ltd. Dishwasher with personalized utensil detection and scanning aids therefor

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JP4180970B2 (ja) 2002-05-16 2008-11-12 雅信 鯨田 排便の検知及び自動吸引処理装置
KR101312559B1 (ko) * 2011-08-09 2013-09-30 장황진 건강을 진단하는 다기능 변기시스템
JP2015136386A (ja) * 2014-01-20 2015-07-30 株式会社国際電気通信基礎技術研究所 排泄管理システム、排泄管理プログラム、排泄管理方法および排泄管理装置
JP5861977B2 (ja) 2014-06-18 2016-02-16 関根　弘一 大便色検知装置
KR101595434B1 (ko) * 2014-10-13 2016-02-19 한국생산기술연구원 배설물형상측정장치 및 방법
JP6742663B2 (ja) * 2016-02-04 2020-08-19 株式会社Ｌｉｘｉｌ 便器装置
CN106651883B (zh) * 2016-12-30 2019-12-17 四川沃文特生物技术有限公司 基于机器视觉的粪便形态识别方法
JPWO2019187018A1 (ja) * 2018-03-30 2020-04-30 株式会社ファーストスクリーニング 健康補助システム、センサー、及び健康補助方法
WO2019245359A1 (en) * 2018-06-21 2019-12-26 N.V. Nutricia Method and system for characterizing stool patterns of young infants

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1.E.Halmos , J.Biesiekierski , E.Newnham , and PrGibson : "Inaccuracy of patient-reported descriptions of and satisfaction with bowel actions in IBS",Journal of Nutrition & Intermediary Metabolism (2017).
2. SJLewis , KWHeaton : "Stool Form Scale as a Useful Guide to Intestinal Transit Time", Scand.J.Gastroenterol 。 32,920-924（1997）。
3. Y. LeCun , B. Boser , JSDenker 、 D. Henderson , RE Howard , Hubbard, W., Jackel , LD : "Backpropagation applied to handwritten zip code recognition", Neural computation, 1(4), pp.541-551, (1989)。
4.Ramprasaath R Selvaraju , Michael Cogswell, Abhishek Das, Ramakrishna Vedantam , Devi Parikh, Dhruv Batra ：「Grad-CAM：Visual Explanations from Deep Networks via Gradient-based Localization」、The IEEE International Conference on Computer Vision（ICCV）、pp 。 618-626(2017).
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US20230172744A1 (en) 2023-06-08
JPWO2021187272A1 (https=) 2021-09-23
CN115279309A (zh) 2022-11-01
WO2021187272A1 (ja) 2021-09-23

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