WO2008007236A3 - Atrial fibrillation detection - Google Patents

Atrial fibrillation detection Download PDF

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Publication number
WO2008007236A3
WO2008007236A3 PCT/IB2007/052095 IB2007052095W WO2008007236A3 WO 2008007236 A3 WO2008007236 A3 WO 2008007236A3 IB 2007052095 W IB2007052095 W IB 2007052095W WO 2008007236 A3 WO2008007236 A3 WO 2008007236A3
Authority
WO
WIPO (PCT)
Prior art keywords
ecg
analyzing
atrial fibrillation
fibrillation detection
steps
Prior art date
Application number
PCT/IB2007/052095
Other languages
French (fr)
Other versions
WO2008007236A2 (en
Inventor
Ralf Schmidt
Matthew Harris
Daniel Novak
Michael Perkuhn
Original Assignee
Koninkl Philips Electronics Nv
Philips Intellectual Property
Ralf Schmidt
Matthew Harris
Daniel Novak
Michael Perkuhn
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 Koninkl Philips Electronics Nv, Philips Intellectual Property, Ralf Schmidt, Matthew Harris, Daniel Novak, Michael Perkuhn filed Critical Koninkl Philips Electronics Nv
Publication of WO2008007236A2 publication Critical patent/WO2008007236A2/en
Publication of WO2008007236A3 publication Critical patent/WO2008007236A3/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
    • A61B5/72—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
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/251—Means for maintaining electrode contact with the body
    • A61B5/256—Wearable electrodes, e.g. having straps or bands
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/28—Bioelectric electrodes therefor specially adapted for particular uses for electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/361—Detecting fibrillation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/332—Portable devices specially adapted therefor
    • 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
    • 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)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Cardiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A method of detecting atrial fibrillation from an ECG is presented, comprising a combination of at least two of the steps of analyzing R-R interval sequences to produce a measure of the irregularity of the RR interval sequence; canceling the QRST portion of the ECG, and analyzing the resulting signal; and analyzing the ECG signal preceding the QRS complex, to determine the presence or absence of P-waves. This is followed by a step of using a classifier to classify the ECG into one of two classes, namely 'AF present' and 'AF absent', based on a range or ranges of results of the measurement steps which are determined in advance. The invention improves patient monitoring.
PCT/IB2007/052095 2006-06-07 2007-06-05 Atrial fibrillation detection WO2008007236A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06115092.6 2006-06-07
EP06115092 2006-06-07

Publications (2)

Publication Number Publication Date
WO2008007236A2 WO2008007236A2 (en) 2008-01-17
WO2008007236A3 true WO2008007236A3 (en) 2008-04-24

Family

ID=38923608

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2007/052095 WO2008007236A2 (en) 2006-06-07 2007-06-05 Atrial fibrillation detection

Country Status (1)

Country Link
WO (1) WO2008007236A2 (en)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8666483B2 (en) 2007-10-24 2014-03-04 Siemens Medical Solutions Usa, Inc. System for cardiac medical condition detection and characterization
CN101969842B (en) 2008-01-14 2012-12-05 皇家飞利浦电子股份有限公司 Atrial fibrillation monitoring
KR101918789B1 (en) * 2010-10-29 2018-11-14 로렌스 리버모어 내쇼날 시큐리티, 엘엘시 Method and system for compact efficient laser architecture
US8744559B2 (en) 2011-08-11 2014-06-03 Richard P. Houben Methods, systems and devices for detecting atrial fibrillation
US9277956B2 (en) 2011-11-09 2016-03-08 Siemens Medical Solutions Usa, Inc. System for automatic medical ablation control
US9724007B2 (en) 2012-09-11 2017-08-08 Draeger Medical Systems, Inc. System and method for detecting a characteristic in an ECG waveform
CN103251405B (en) * 2013-04-18 2015-04-08 深圳市科曼医疗设备有限公司 System for analyzing arrhythmia
EP3054840B1 (en) 2013-11-08 2020-08-12 Spangler Scientific LLC Prediction of risk for sudden cardiac death
PL417345A1 (en) * 2016-05-27 2017-12-04 Comarch Healthcare Spółka Akcyjna Method for automatic detection of atrial fibrillation and flutter
US10856763B2 (en) 2017-03-10 2020-12-08 Qatar University Personalized ECG monitoring for early detection of cardiac abnormalities
CN110895669A (en) * 2018-09-13 2020-03-20 大连大学 Method for constructing atrial fibrillation prediction decision tree
CN109691994A (en) * 2019-01-31 2019-04-30 英菲泰克(天津)科技有限公司 A kind of rhythm of the heart analysis method based on electrocardiogram
EP3735894B1 (en) 2019-05-09 2022-11-30 Tata Consultancy Services Limited Recurrent neural network architecture based classification of atrial fibrillation using single lead ecg
CN110680305B (en) * 2019-10-08 2021-07-27 深圳邦健生物医疗设备股份有限公司 Method, device and computer equipment for determining position of migration lead
CN110960207A (en) * 2019-12-16 2020-04-07 成都天奥电子股份有限公司 Tree model-based atrial fibrillation detection method, device, equipment and storage medium
CN111407261B (en) * 2020-03-31 2024-05-21 京东方科技集团股份有限公司 Method and device for measuring period information of biological signals and electronic equipment
CN113712525A (en) * 2020-05-21 2021-11-30 深圳市理邦精密仪器股份有限公司 Physiological parameter processing method and device and medical equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010056245A1 (en) * 2000-03-15 2001-12-27 Mlynash Michael D. QRST subtraction using an adaptive template for analysis of TU wave obscured atrial activity
EP1219237A2 (en) * 2000-12-28 2002-07-03 GE Medical Systems Information Technologies, Inc. Atrial fibrillation detection method and apparatus
US20040068196A1 (en) * 2002-10-02 2004-04-08 Louis Massicotte Method and apparatus for trend detection in an electrocardiogram monitoring signal
WO2005006209A1 (en) * 2003-07-11 2005-01-20 University College Dublin National University Of Ireland, Dublin Method and apparatus for detecting paroxysmal atria fibrillation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010056245A1 (en) * 2000-03-15 2001-12-27 Mlynash Michael D. QRST subtraction using an adaptive template for analysis of TU wave obscured atrial activity
EP1219237A2 (en) * 2000-12-28 2002-07-03 GE Medical Systems Information Technologies, Inc. Atrial fibrillation detection method and apparatus
US20040068196A1 (en) * 2002-10-02 2004-04-08 Louis Massicotte Method and apparatus for trend detection in an electrocardiogram monitoring signal
WO2005006209A1 (en) * 2003-07-11 2005-01-20 University College Dublin National University Of Ireland, Dublin Method and apparatus for detecting paroxysmal atria fibrillation

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DE CHAZAL P ET AL INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS: "Automated assessment of atrial fibrillation", COMPUTERS IN CARDIOLOGY 2001. ROTTERDAM, THE NETHERLANDS, SEPT. 23 - 26, 2001, NEW YORK, NY : IEEE, US, 23 September 2001 (2001-09-23), pages 117 - 120, XP010573230, ISBN: 0-7803-7266-2 *
GRAJA S ET AL: "SVM classification of patients prone to atrial fibrillation", INTELLIGENT SIGNAL PROCESSING, 2005 IEEE INTERNATIONAL WORKSHOP ON SEPT. 1, 2005, PISCATAWAY, NJ, USA,IEEE, 1 September 2005 (2005-09-01), pages 370 - 374, XP010852368, ISBN: 0-7803-9030-X *
SLOCUM J ET AL: "DIAGNOSIS OF ATRIAL FIBRILLATION FROM SURFACE ELECTROCARDIOGRAMS BASED ON COMPUTER-DETECTED ATRIAL ACTIVITY", JOURNAL OF ELECTROCARDIOLOGY, vol. 25, no. 1, 1992, pages 1 - 8, XP002466507, ISSN: 0022-0736 *
SUMMERS, CRAMP, CARSON: "Non-AI Decision Making", 2000, CRC PRESS LLC, BOCA RATON, XP002466595 *

Also Published As

Publication number Publication date
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