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WO2009063463A3 - Pain monitoring using multidimensional analysis of physiological signals - Google Patents

Pain monitoring using multidimensional analysis of physiological signals Download PDF

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Publication number
WO2009063463A3
WO2009063463A3 PCT/IL2008/001493 IL2008001493W WO2009063463A3 WO 2009063463 A3 WO2009063463 A3 WO 2009063463A3 IL 2008001493 W IL2008001493 W IL 2008001493W WO 2009063463 A3 WO2009063463 A3 WO 2009063463A3
Authority
WO
WIPO (PCT)
Prior art keywords
awake
patient
pain level
semi
physiological signals
Prior art date
Application number
PCT/IL2008/001493
Other languages
French (fr)
Other versions
WO2009063463A2 (en
Inventor
Galit Zuckerman
Mark Kliger
Original Assignee
Medasense Biometrics Ltd
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
Priority to US98778207P priority Critical
Priority to US60/987,782 priority
Application filed by Medasense Biometrics Ltd filed Critical Medasense Biometrics Ltd
Publication of WO2009063463A2 publication Critical patent/WO2009063463A2/en
Publication of WO2009063463A3 publication Critical patent/WO2009063463A3/en
Priority claimed from US12/779,963 external-priority patent/US8512240B1/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4824Touch or pain perception evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6825Hand
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
    • G06K9/6271Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns based on distances to prototypes
    • G06K9/6272Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns based on distances to prototypes based on distances to cluster centroïds
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6298Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4029Detecting, measuring or recording for evaluating the nervous system for evaluating the peripheral nervous systems
    • A61B5/4035Evaluating the autonomic nervous system
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • A61B5/721Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

The invention discloses a method and system for establishing the pain level in an awake, semi-awake or sedated patient. The method comprises steps of analyzing a multidimensional array of physiological signals to obtain the pain level of a patient. The signals are processed so as to extract a vector of Great Plurality of Features representing the patient's physiological status. The vector of the Great Plurality of Features is processed and classified into at least two classes for at least two conditions. These classes represent the pain level of the patient at a given time interval and thereby are used to establish the pain level of an awake, semi- awake or sedated patient. A system is provided for establishing the pain level in an awake, semi- awake or sedated patient.
PCT/IL2008/001493 2007-11-14 2008-11-13 Pain monitoring using multidimensional analysis of physiological signals WO2009063463A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US98778207P true 2007-11-14 2007-11-14
US60/987,782 2007-11-14

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US12/779,963 US8512240B1 (en) 2007-11-14 2010-05-14 System and method for pain monitoring using a multidimensional analysis of physiological signals
US13/945,657 US9498138B2 (en) 2007-11-14 2013-07-18 System and method for pain monitoring using a multidimensional analysis of physiological signals
US15/349,098 US20170135631A1 (en) 2007-11-14 2016-11-11 System and method for pain monitoring using a multidimensional analysis of physiological signals

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12/779,963 Continuation-In-Part US8512240B1 (en) 2007-11-14 2010-05-14 System and method for pain monitoring using a multidimensional analysis of physiological signals

Publications (2)

Publication Number Publication Date
WO2009063463A2 WO2009063463A2 (en) 2009-05-22
WO2009063463A3 true WO2009063463A3 (en) 2010-01-28

Family

ID=40639263

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IL2008/001493 WO2009063463A2 (en) 2007-11-14 2008-11-13 Pain monitoring using multidimensional analysis of physiological signals

Country Status (1)

Country Link
WO (1) WO2009063463A2 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8364254B2 (en) 2009-01-28 2013-01-29 Brainscope Company, Inc. Method and device for probabilistic objective assessment of brain function
US20110087125A1 (en) * 2009-10-09 2011-04-14 Elvir Causevic System and method for pain monitoring at the point-of-care
US20120271121A1 (en) * 2010-12-29 2012-10-25 Basis Science, Inc. Integrated Biometric Sensing and Display Device
EP2670299A4 (en) * 2011-02-03 2017-08-09 The Medical Research, Infrastructure, And Health Services Fund Of The Tel Aviv Medical Center Method and system for use in monitoring neural activity in a subject's brain
FR3006879B1 (en) * 2013-06-14 2015-07-03 Chru Lille Device and method of evaluation of the needs compounds analgesics and / or hypnotic place a patient under anesthesia or sedation and delivery device associated
CN104887198A (en) * 2014-03-06 2015-09-09 中国科学院沈阳自动化研究所 Pain quantitative analysis system and method based on human body physiological signal multi-parameter fusion
US20150265208A1 (en) * 2014-03-18 2015-09-24 Oridion Medical 1987 Ltd. Systems and methods for pain measurement
WO2017157746A1 (en) 2016-03-15 2017-09-21 Koninklijke Philips N.V. A method and apparatus for determining a baseline for one or more physiological characteristics of a subject
CN106510625A (en) * 2016-10-27 2017-03-22 广州医科大学附属肿瘤医院 Pain feedback analyzing and calculating method and system
CN106951711A (en) * 2017-03-22 2017-07-14 中国科学院深圳先进技术研究院 Assessment method and system for massage effect of patient with lumbar disc herniation
WO2018170792A1 (en) * 2017-03-22 2018-09-27 中国科学院深圳先进技术研究院 Method and system for assessing effectiveness of tui na on lumbar disc herniation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070010723A1 (en) * 2005-07-05 2007-01-11 Kimmo Uutela Determination of the clinical state of a subject
US20070219433A1 (en) * 2004-07-10 2007-09-20 Stupp Steven E Apparatus for providing information based on association variables

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070219433A1 (en) * 2004-07-10 2007-09-20 Stupp Steven E Apparatus for providing information based on association variables
US20070010723A1 (en) * 2005-07-05 2007-01-11 Kimmo Uutela Determination of the clinical state of a subject

Also Published As

Publication number Publication date
WO2009063463A2 (en) 2009-05-22

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