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
physiological signals
semi
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
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 to US12/779,963 priority Critical patent/US8512240B1/en
Priority to US13/945,657 priority patent/US9498138B2/en
Priority to US15/349,098 priority patent/US10743778B2/en
Priority to US16/983,466 priority patent/US11259708B2/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements 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
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6825—Hand
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/10—Pre-processing; Data cleansing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4029—Detecting, measuring or recording for evaluating the nervous system for evaluating the peripheral nervous systems
    • A61B5/4035—Evaluating the autonomic nervous system
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • A61B5/721—Signal 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

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

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 (4)

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 US10743778B2 (en) 2007-11-14 2016-11-11 System and method for pain monitoring using a multidimensional analysis of physiological signals
US16/983,466 US11259708B2 (en) 2007-11-14 2020-08-03 System and method for pain monitoring using a multidimensional analysis of physiological signals

Applications Claiming Priority (2)

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

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)

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US8364254B2 (en) 2009-01-28 2013-01-29 Brainscope Company, Inc. Method and device for probabilistic objective assessment of brain function
US10321840B2 (en) 2009-08-14 2019-06-18 Brainscope Company, Inc. Development of fully-automated classifier builders for neurodiagnostic applications
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 FOR EVALUATING THE NEEDS OF ANALGESIC AND / OR HYPNOTIC COMPOUNDS OF A PATIENT PLACED UNDER ANESTHESIA OR SEDATION AND ASSOCIATED DELIVERY DEVICE
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
BR112016030952B1 (en) 2014-06-30 2022-02-22 Syqe Medical Ltd Inhaler
CN113331813A (en) * 2015-01-08 2021-09-03 美达森斯生物测定有限公司 Electrode array for physiological monitoring and device comprising or utilizing the electrode array
CN108778099B (en) * 2016-03-15 2023-01-03 皇家飞利浦有限公司 Method and apparatus for determining a baseline of 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
CN106951711B (en) * 2017-03-22 2019-04-26 中国科学院深圳先进技术研究院 A kind of appraisal procedure and system of patients with lumbar disc herniation massage effect
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
EP3406189B1 (en) 2017-05-25 2024-05-29 Tata Consultancy Services Limited System and method for heart rate estimation
CN107315479B (en) * 2017-07-06 2020-04-24 哈尔滨工业大学 Myoelectricity real-time operation device based on laser projection
US11062792B2 (en) 2017-07-18 2021-07-13 Analytics For Life Inc. Discovering genomes to use in machine learning techniques
US11139048B2 (en) * 2017-07-18 2021-10-05 Analytics For Life Inc. Discovering novel features to use in machine learning techniques, such as machine learning techniques for diagnosing medical conditions
CN107440687B (en) * 2017-08-09 2020-06-16 中国科学院深圳先进技术研究院 Pain grade evaluation method and pain grade evaluation device adopting same
EP3498169A1 (en) * 2017-12-13 2019-06-19 Tata Consultancy Services Limited System and method for classification and quantitative estimation of cognitive stress
EP3506314B1 (en) 2017-12-29 2020-09-16 Tata Consultancy Services Limited Systems and methods for detecting anomaly in a cardiovascular signal using hierarchical extremas and repetitions
GB201817708D0 (en) * 2018-10-30 2018-12-19 Univ Oxford Innovation Ltd Method and apparatus for monitoring a patient
CN110025322A (en) * 2019-04-11 2019-07-19 辽宁师范大学 Multi-modal physiological signal sensibility classification method based on filtering with integrated classifier
CN110200617A (en) * 2019-06-26 2019-09-06 慧言科技(天津)有限公司 A kind of system using heart rate variability quantitative assessment pain
FI20195626A1 (en) * 2019-07-10 2021-01-11 Kipuwex Oy Apparatus for determining indication of pain
CN110516762B (en) * 2019-10-10 2022-11-15 深圳大学 Muscle state quantitative evaluation method and device, storage medium and intelligent terminal
CN111110221A (en) * 2019-12-26 2020-05-08 天津大学 Time-frequency-nonlinear multidimensional body surface gastric electrical feature extraction method
CN111345803B (en) * 2020-03-20 2022-04-12 浙江大学城市学院 Heart rate variability measuring method based on mobile device camera
IT202000017212A1 (en) * 2020-07-15 2022-01-15 Andrea Chellini EQUIPMENT FOR THE MEASUREMENT OF PHYSIOLOGICAL PARAMETERS.

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Patent Citations (2)

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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

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