WO2021188079A4 - An artificial intelligence method to ensure the assessment the level of comfort and pain of babies - Google Patents

An artificial intelligence method to ensure the assessment the level of comfort and pain of babies Download PDF

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Publication number
WO2021188079A4
WO2021188079A4 PCT/TR2021/050207 TR2021050207W WO2021188079A4 WO 2021188079 A4 WO2021188079 A4 WO 2021188079A4 TR 2021050207 W TR2021050207 W TR 2021050207W WO 2021188079 A4 WO2021188079 A4 WO 2021188079A4
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WO
WIPO (PCT)
Prior art keywords
artificial intelligence
comfort
pain
level
babies
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Application number
PCT/TR2021/050207
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French (fr)
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WO2021188079A3 (en
WO2021188079A2 (en
Inventor
Ayfer AÇIKGÖZ
Deniz YİĞİT
Özer ÇELİK
Original Assignee
Eski̇şehi̇r Osmangazi̇ Üni̇versi̇tesi̇
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Application filed by Eski̇şehi̇r Osmangazi̇ Üni̇versi̇tesi̇ filed Critical Eski̇şehi̇r Osmangazi̇ Üni̇versi̇tesi̇
Publication of WO2021188079A2 publication Critical patent/WO2021188079A2/en
Publication of WO2021188079A3 publication Critical patent/WO2021188079A3/en
Publication of WO2021188079A4 publication Critical patent/WO2021188079A4/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4824—Touch or pain perception evaluation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/04—Babies, e.g. for SIDS detection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • 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, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Pain & Pain Management (AREA)
  • Hospice & Palliative Care (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

This invention is about an artificial intelligence method developed to automatically determine of the level of comfort and pain of babies and enables the assessment of comfort levels and pain levels of newborn babies and its characteristic is; being consisted of a data module (1) where to obtain data sets such as image, sound, heart rate, oxygen saturation, blood pressure, respiration rate from newborn babies, an artificial intelligence module (2) where obtained records are processed with artificial intelligence algorithms, a comfort assessment module (2.1) where the comfort level of artificial intelligence results is showed and a pain assessment module (2.2) where the pain level of artificial intelligence results is showed.

Claims

AMENDED CLAIMS received by the International Bureau on 10 January 2022 (10.01.2022)
1. The invention is about an artificial intelligence method developed to enable the automatic determination of the level of comfort and pain of babies, which includes a pain assessment module (2.2) where the pain level of artificial intelligence results is showed and its’ characteristic is being consisted of;
- a data module (1) where to obtain data sets such as image, sound, heart rate, oxygen saturation, blood pressure, respiration rate from newborn babies,
- an artificial intelligence module (2) where obtained records are processed with artificial intelligence algorithms,
- a comfort assessment module (2.1) where the comfort level of artificial intelligence results is showed.
2. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having a data module (1) where parameters such as alertness, sedation/agitation, respiratory response, crying, body movements, facial strain, muscle tone, heart rate, oxygen saturation, blood pressure, respiration rate are obtained and recorded.
3. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) where the respiratory response in newly born babies having mechanical ventilator (ventilation device) support) and crying sounds in those not having mechanical ventilator (ventilation device) support), are assessed.
4. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) where data obtained from the facial images and body movements of newly born babies, are recorded into the data module (1) and pain and comfort levels are determined.
18
5. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) where the newly born baby’s comfort levels are determined with the data obtained from the camera and the microphone and recorded into the data module (1).
6. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) where comfort levels are determined by using the heart rate, oxygen saturation, blood pressure, respiration rate data.
7. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) which designates the reference points on images transferred to the computer with image processing algorithms and conducts the sectioning according to the designated reference points, conducts the training with one of the system’s deep learning techniques, convolution neural network (CNN) as a result of the obtained sections and determines the comfort levels.
8. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) that classifies sound records with one of the deep learning techniques, long short-term memory (LSTM) networks
9. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) where the newly born baby’s comfort status result is obtained with the estimation results of the convolution neural networks (CNN) and the long short-term memory (LSTM) networks and machine learning algorithms of heart rate, oxygen saturation, blood pressure, respiration rate values.
19
10. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having an artificial intelligence module (2) that uses N-PASS scale to designate the pain level, which is the Agitation and Sedation Scale of the data in the data module.
11. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having a comfort assessment module (2.1) where the assessment result of the comfort level is specified.
12. What’s mentioned in Claim 1 is an artificial intelligence method that enables the automatic determination of the level of comfort and pain of babies and its characteristic is; having a pain assessment module (2.1) where the assessment result of the pain level is specified.
20
PCT/TR2021/050207 2020-03-16 2021-03-09 An artificial intelligence method to ensure the assessment the level of comfort and pain of babies WO2021188079A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2020/04031 2020-03-16
TR202004031 2020-03-16

Publications (3)

Publication Number Publication Date
WO2021188079A2 WO2021188079A2 (en) 2021-09-23
WO2021188079A3 WO2021188079A3 (en) 2021-12-30
WO2021188079A4 true WO2021188079A4 (en) 2022-02-03

Family

ID=77771170

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/TR2021/050207 WO2021188079A2 (en) 2020-03-16 2021-03-09 An artificial intelligence method to ensure the assessment the level of comfort and pain of babies

Country Status (1)

Country Link
WO (1) WO2021188079A2 (en)

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8512240B1 (en) * 2007-11-14 2013-08-20 Medasense Biometrics Ltd. System and method for pain monitoring using a multidimensional analysis of physiological signals
CN107392109A (en) * 2017-06-27 2017-11-24 南京邮电大学 A kind of neonatal pain expression recognition method based on deep neural network

Also Published As

Publication number Publication date
WO2021188079A3 (en) 2021-12-30
WO2021188079A2 (en) 2021-09-23

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