WO2014009914A2 - Patient interface identification system - Google Patents

Patient interface identification system Download PDF

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Publication number
WO2014009914A2
WO2014009914A2 PCT/IB2013/055707 IB2013055707W WO2014009914A2 WO 2014009914 A2 WO2014009914 A2 WO 2014009914A2 IB 2013055707 W IB2013055707 W IB 2013055707W WO 2014009914 A2 WO2014009914 A2 WO 2014009914A2
Authority
WO
WIPO (PCT)
Prior art keywords
patient interface
reference pictures
user
test picture
face
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/IB2013/055707
Other languages
English (en)
French (fr)
Other versions
WO2014009914A3 (en
Inventor
Peter Chi Fai Ho
Dmitry Nikolayevich ZNAMENSKIY
Richard Andrew Sofranko
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Priority to US14/413,433 priority Critical patent/US9400923B2/en
Priority to JP2015521130A priority patent/JP6464082B2/ja
Priority to RU2014153051A priority patent/RU2636682C2/ru
Priority to EP13770505.9A priority patent/EP2873027A2/en
Priority to CN201380036718.XA priority patent/CN104471589B/zh
Priority to BR112015000327A priority patent/BR112015000327A2/pt
Publication of WO2014009914A2 publication Critical patent/WO2014009914A2/en
Publication of WO2014009914A3 publication Critical patent/WO2014009914A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes
    • A61M16/06—Respiratory or anaesthetic masks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/167—Detection; Localisation; Normalisation using comparisons between temporally consecutive images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes
    • A61M16/0051—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes with alarm devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes
    • A61M16/021—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes operated by electrical means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators; Tracheal tubes
    • A61M16/06—Respiratory or anaesthetic masks
    • A61M2016/0661—Respiratory or anaesthetic masks with customised shape
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2205/00—General characteristics of the apparatus
    • A61M2205/50—General characteristics of the apparatus with microprocessors or computers
    • A61M2205/502—User interfaces, e.g. screens or keyboards
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2205/00—General characteristics of the apparatus
    • A61M2205/50—General characteristics of the apparatus with microprocessors or computers
    • A61M2205/52—General characteristics of the apparatus with microprocessors or computers with memories providing a history of measured variating parameters of apparatus or patient

Definitions

  • the present invention instead, employs a facial recognition technique to identify the closest approximation of the face of the test user compared to faces of known patients or users taken from a database.
  • a recommendation for a suitable patient interface (mask) provided by the system is purely based on known facts about the identified reference persons, which facts are stored in the database. For example, individual A's image is found to be a closest resemblance to individual B from the database by the facial recognition software. If B is a user of a certain type of patient interface (mask), it is likely that the same patient interface also fits to the face of individual A.
  • Such user-based database can be managed anonymously by a service provider or it can be managed by sponsor sites through certain social networks or other user groups.
  • the processing unit is adapted to determine the patient interface advice based on a best match between said angle ratio or distance ratio in the test picture with the corresponding angle ratio or distance ratio in one of the reference pictures.
  • Fig. 1 shows an embodiment of a patient interface identification system for identifying a patient interface that is suited for a face of a user, which system may also be referred to as a mask fitting system.
  • the proposed system is therein in its entirety denoted with reference numeral 10.
  • the patient interface identification system 10 comprises a receiving unit 12 for receiving a test picture 14 (see e.g. Fig. 4), which test picture 14 includes a face 16 of a user 18.
  • the receiving unit 12 may, for example, be realized as a connection interface that is suitable for receiving or downloading pictures to the system 10. Examples may be a USB -interface, firewire interface, a Bluetooth interface, a wireless LAN interface or an infrared interface.
  • two types of features are preferably extracted from the cropped and re- sized test picture 14': 1.) landmark angles and distance ratios in all possible combinations, 2. local image features extracted around the nasal and mouth area (see Fig. 7).
  • big dots 30 refer to landmarks located in the previous step, and small dots 30' are relative positions (with respect to landmarks) for the local image features extractions.
  • the local features can be local image gradients identified in the test picture 14'. This landmark identification thus allows for calculating image based features, such as e.g. the aspect ratio of the distance between the eyes and the width of the mouth or the nose. Of course, many different other ratios can be computed that are indicative and offer valuable clues to the form of the face and the size of the characteristic face features. It thus allows to indirectly calculating facial dimensions directly from the test picture 14', even though the exact absolute dimensions are not known.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hematology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biomedical Technology (AREA)
  • Anesthesiology (AREA)
  • Pulmonology (AREA)
  • Emergency Medicine (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Geometry (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Analysis (AREA)
PCT/IB2013/055707 2012-07-11 2013-07-11 Patient interface identification system Ceased WO2014009914A2 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
US14/413,433 US9400923B2 (en) 2012-07-11 2013-07-11 Patient interface identification system
JP2015521130A JP6464082B2 (ja) 2012-07-11 2013-07-11 患者インタフェース識別システム
RU2014153051A RU2636682C2 (ru) 2012-07-11 2013-07-11 Система идентификации интерфейса пациента
EP13770505.9A EP2873027A2 (en) 2012-07-11 2013-07-11 Patient interface identification system
CN201380036718.XA CN104471589B (zh) 2012-07-11 2013-07-11 患者接口识别系统
BR112015000327A BR112015000327A2 (pt) 2012-07-11 2013-07-11 sistema de identificação de interface de paciente, método para identificação de uma interface de paciente, e programa de computador

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261670270P 2012-07-11 2012-07-11
US61/670,270 2012-07-11

Publications (2)

Publication Number Publication Date
WO2014009914A2 true WO2014009914A2 (en) 2014-01-16
WO2014009914A3 WO2014009914A3 (en) 2014-03-13

Family

ID=49261574

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2013/055707 Ceased WO2014009914A2 (en) 2012-07-11 2013-07-11 Patient interface identification system

Country Status (7)

Country Link
US (1) US9400923B2 (cg-RX-API-DMAC10.html)
EP (1) EP2873027A2 (cg-RX-API-DMAC10.html)
JP (1) JP6464082B2 (cg-RX-API-DMAC10.html)
CN (1) CN104471589B (cg-RX-API-DMAC10.html)
BR (1) BR112015000327A2 (cg-RX-API-DMAC10.html)
RU (1) RU2636682C2 (cg-RX-API-DMAC10.html)
WO (1) WO2014009914A2 (cg-RX-API-DMAC10.html)

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WO2019002455A1 (en) * 2017-06-30 2019-01-03 Koninklijke Philips N.V. METHOD AND APPARATUS FOR SELECTING A MASK USING ENHANCED FACE SKETCH
US10679745B2 (en) 2014-07-10 2020-06-09 Koninklijke Philips N.V. System and method for providing a patient with personalized advice
US10980957B2 (en) 2015-06-30 2021-04-20 ResMed Pty Ltd Mask sizing tool using a mobile application
US20210138170A1 (en) * 2019-11-12 2021-05-13 Koninklijke Philips N.V. System and method for monitoring a patient during oxygen therapy

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RU2656559C2 (ru) * 2012-11-11 2018-06-05 Кенкоу Гмбх Способ и устройство для определения жизненно важных показателей
JP6745219B2 (ja) 2013-08-05 2020-08-26 フィッシャー アンド ペイケル ヘルスケア リミテッド 患者インタフェース用シール、インタフェースアセンブリおよびその態様
WO2015170207A1 (en) * 2014-05-06 2015-11-12 Koninklijke Philips N.V. Determining patient interface device optimal hardness
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Cited By (6)

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Publication number Priority date Publication date Assignee Title
US10679745B2 (en) 2014-07-10 2020-06-09 Koninklijke Philips N.V. System and method for providing a patient with personalized advice
US10980957B2 (en) 2015-06-30 2021-04-20 ResMed Pty Ltd Mask sizing tool using a mobile application
US11857726B2 (en) 2015-06-30 2024-01-02 ResMed Pty Ltd Mask sizing tool using a mobile application
WO2019002455A1 (en) * 2017-06-30 2019-01-03 Koninklijke Philips N.V. METHOD AND APPARATUS FOR SELECTING A MASK USING ENHANCED FACE SKETCH
US10861198B2 (en) 2017-06-30 2020-12-08 Koninklijke Philips N.V. Method and apparatus for selecting a mask using augmented face sketches
US20210138170A1 (en) * 2019-11-12 2021-05-13 Koninklijke Philips N.V. System and method for monitoring a patient during oxygen therapy

Also Published As

Publication number Publication date
US20150193650A1 (en) 2015-07-09
BR112015000327A2 (pt) 2017-06-27
WO2014009914A3 (en) 2014-03-13
CN104471589B (zh) 2019-09-03
CN104471589A (zh) 2015-03-25
EP2873027A2 (en) 2015-05-20
RU2014153051A (ru) 2016-08-27
JP6464082B2 (ja) 2019-02-06
RU2636682C2 (ru) 2017-11-27
JP2015533519A (ja) 2015-11-26
US9400923B2 (en) 2016-07-26

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