WO2014143962A3 - System and method for characterizing circulatory blood flow - Google Patents

System and method for characterizing circulatory blood flow Download PDF

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Publication number
WO2014143962A3
WO2014143962A3 PCT/US2014/028167 US2014028167W WO2014143962A3 WO 2014143962 A3 WO2014143962 A3 WO 2014143962A3 US 2014028167 W US2014028167 W US 2014028167W WO 2014143962 A3 WO2014143962 A3 WO 2014143962A3
Authority
WO
WIPO (PCT)
Prior art keywords
circulatory blood
blood volume
heart rate
rate frequency
biological signal
Prior art date
Application number
PCT/US2014/028167
Other languages
French (fr)
Other versions
WO2014143962A2 (en
WO2014143962A4 (en
Inventor
Jan K. Berkow
Anne M. Brumfield
Original Assignee
Intelomed, Inc
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 claimed from US13/839,534 external-priority patent/US9002440B2/en
Application filed by Intelomed, Inc filed Critical Intelomed, Inc
Priority to CA2904682A priority Critical patent/CA2904682A1/en
Priority to EP14762395.3A priority patent/EP2967502A4/en
Priority to AU2014227994A priority patent/AU2014227994A1/en
Publication of WO2014143962A2 publication Critical patent/WO2014143962A2/en
Publication of WO2014143962A3 publication Critical patent/WO2014143962A3/en
Publication of WO2014143962A4 publication Critical patent/WO2014143962A4/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
    • A61B5/02—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
    • A61B5/026—Measuring blood flow
    • 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
    • A61B5/4848—Monitoring or testing the effects of treatment, e.g. of medication
    • 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
    • A61B5/4869—Determining body composition
    • 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
    • A61B5/4884—Other medical applications inducing physiological or psychological stress, e.g. applications for stress testing
    • 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
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • 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
    • 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
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Hematology (AREA)
  • Fuzzy Systems (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Cardiology (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • External Artificial Organs (AREA)

Abstract

A computer-implemented method for characterizing circulatory blood volume and autoregulatory compensatory mechanisms to maintain circulatory blood volume is disclosed. A biological signal that emulates the arterial pulse wave is collected from a sensor. Three derived parameters are extrapolated from the biological signal. The first parameter, circulatory stress, reflects of the changes of the heart rate frequency. The second, circulatory blood volume, reflects the changes in the frequency strength of the heart rate frequency. The third, Pulse Volume Alteration (PVA) Index is a ratio of the sum of the strengths of the heart rate frequency harmonics to the strength of the heart rate frequency of the unprocessed biological signal. Each parameter is compared to a threshold value and assessed to determine an adequacy of circulatory blood volume and an appropriateness of the autoregulatory mechanisms used to maintain circulatory blood volume adequacy.
PCT/US2014/028167 2013-03-15 2014-03-14 System and method for characterizing circulatory blood flow WO2014143962A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CA2904682A CA2904682A1 (en) 2013-03-15 2014-03-14 System and method for characterizing circulatory blood flow
EP14762395.3A EP2967502A4 (en) 2013-03-15 2014-03-14 System and method for characterizing circulatory blood flow
AU2014227994A AU2014227994A1 (en) 2013-03-15 2014-03-14 System and method for characterizing circulatory blood flow

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/839,534 US9002440B2 (en) 2010-07-08 2013-03-15 System and method for characterizing circulatory blood flow
US13/839,534 2013-03-15

Publications (3)

Publication Number Publication Date
WO2014143962A2 WO2014143962A2 (en) 2014-09-18
WO2014143962A3 true WO2014143962A3 (en) 2015-04-09
WO2014143962A4 WO2014143962A4 (en) 2015-05-28

Family

ID=51538290

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2014/028167 WO2014143962A2 (en) 2013-03-15 2014-03-14 System and method for characterizing circulatory blood flow

Country Status (4)

Country Link
EP (1) EP2967502A4 (en)
AU (1) AU2014227994A1 (en)
CA (1) CA2904682A1 (en)
WO (1) WO2014143962A2 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2804788C (en) 2010-07-08 2020-08-25 Intelomed, Inc. System and method for characterizing circulatory blood flow
US10390767B2 (en) 2013-06-04 2019-08-27 Intelomed Inc. Hemodynamic risk severity based upon detection and quantification of cardiac dysrhythmia behavior using a pulse volume waveform
US10568583B2 (en) 2013-06-11 2020-02-25 Intelomed, Inc. Methods and systems for predicting hypovolemic hypotensive conditions resulting from bradycardia behavior using a pulse volume waveform
CA2921028A1 (en) 2013-08-12 2015-02-19 Intelomed, Inc. Methods for monitoring and analyzing cardiovascular states
WO2017177128A1 (en) * 2016-04-08 2017-10-12 The Trustees Of Columbia University In The City Of New York Systems and methods for deep reinforcement learning using a brain-artificial intelligence interface
EP3500163A1 (en) * 2016-08-18 2019-06-26 Koninklijke Philips N.V. Blood-pressure management
CN108186000B (en) * 2018-02-07 2024-04-02 河北工业大学 Real-time blood pressure monitoring system and method based on ballistocardiogram signal and photoelectric signal
CN112888359B (en) * 2018-12-24 2023-08-01 深圳迈瑞生物医疗电子股份有限公司 Interface display method for medical monitoring equipment and medical monitoring equipment
CN117476241B (en) * 2023-12-28 2024-04-19 柏意慧心(杭州)网络科技有限公司 Method, computing device and medium for determining a blood flow of a blood vessel

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5891045A (en) * 1996-07-17 1999-04-06 Cambridge Heart, Inc. Method and system for obtaining a localized cardiac measure
US20120029374A1 (en) * 2010-07-08 2012-02-02 Intelomed Inc. System and method for characterizing circulatory blood flow
US20120259236A1 (en) * 2009-05-12 2012-10-11 Angiologix, Inc. System and method of measuring changes in arterial volume of a limb segment

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1127322C (en) * 1993-01-07 2003-11-12 精工爱普生株式会社 Pulse wave analyzer, and diagnosis apparatus using the same
JP3409399B2 (en) * 1993-11-30 2003-05-26 セイコーエプソン株式会社 Medication control device
EP1905352B1 (en) * 1994-10-07 2014-07-16 Masimo Corporation Signal processing method
US6361501B1 (en) * 1997-08-26 2002-03-26 Seiko Epson Corporation Pulse wave diagnosing device
WO2004080300A1 (en) * 2003-03-12 2004-09-23 Yale University Method of assesing blood volume using photoelectric plethysmography

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5891045A (en) * 1996-07-17 1999-04-06 Cambridge Heart, Inc. Method and system for obtaining a localized cardiac measure
US20120259236A1 (en) * 2009-05-12 2012-10-11 Angiologix, Inc. System and method of measuring changes in arterial volume of a limb segment
US20120029374A1 (en) * 2010-07-08 2012-02-02 Intelomed Inc. System and method for characterizing circulatory blood flow

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP2967502A4 *

Also Published As

Publication number Publication date
EP2967502A4 (en) 2016-11-16
AU2014227994A1 (en) 2015-09-17
WO2014143962A2 (en) 2014-09-18
EP2967502A2 (en) 2016-01-20
WO2014143962A4 (en) 2015-05-28
CA2904682A1 (en) 2014-09-18

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