EA200501193A1 - Улучшенный способ и система для выявления и/или прогнозирования биологических аномалий, например церебральных нарушений - Google Patents

Улучшенный способ и система для выявления и/или прогнозирования биологических аномалий, например церебральных нарушений

Info

Publication number
EA200501193A1
EA200501193A1 EA200501193A EA200501193A EA200501193A1 EA 200501193 A1 EA200501193 A1 EA 200501193A1 EA 200501193 A EA200501193 A EA 200501193A EA 200501193 A EA200501193 A EA 200501193A EA 200501193 A1 EA200501193 A1 EA 200501193A1
Authority
EA
Eurasian Patent Office
Prior art keywords
data
biological
series
data series
processing procedure
Prior art date
Application number
EA200501193A
Other languages
English (en)
Other versions
EA008979B1 (ru
Inventor
Джеймс Скиннер
Джерри Энчин
Original Assignee
Викор Текнолоджиз, Инк.
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 US10/353,849 external-priority patent/US7076288B2/en
Application filed by Викор Текнолоджиз, Инк. filed Critical Викор Текнолоджиз, Инк.
Publication of EA200501193A1 publication Critical patent/EA200501193A1/ru
Publication of EA008979B1 publication Critical patent/EA008979B1/ru

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/372—Analysis of electroencephalograms
    • A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • 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
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02405—Determining heart rate variability
    • 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
    • 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
    • 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
    • A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • 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
    • A61B5/72—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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • 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
    • A61B5/363—Detecting tachycardia or bradycardia
    • 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
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • 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
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Abstract

Выполняют обнаружение или прогнозирование биологических отклонений при помощи анализа входных биологических или физических данных, используя процедуру обработки данных. Процедура обработки данных включает в себя набор прикладных параметров, связанных с биологическими данными, коррелирующими с биологическими отклонениями. Процедура обработки данных использует алгоритм для генерации серий данных, например серий данных PD2i. Серии данных используют для обнаружения или прогнозирования биологических отклонений. Для уменьшения шума в сериях данных угловой коэффициент устанавливают в заданную величину, если он меньше заданной величины. Для дальнейшего уменьшения шума внутри серий данных определяют шумовой интервал, и если шумовой интервал находится внутри заданной области, серии данных делят на другую заданную величину и генерируют новые значения для серий данных.Отчет о международном поиске был опубликован 2005.04.28.
EA200501193A 2003-01-29 2004-01-29 Улучшенный способ и система для выявления и/или прогнозирования биологических аномалий, например церебральных нарушений EA008979B1 (ru)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US10/353,849 US7076288B2 (en) 2003-01-29 2003-01-29 Method and system for detecting and/or predicting biological anomalies
US44549503P 2003-02-06 2003-02-06
PCT/US2004/002472 WO2004068114A2 (en) 2003-01-29 2004-01-29 Detecting and/or predicting biological anomalies

Publications (2)

Publication Number Publication Date
EA200501193A1 true EA200501193A1 (ru) 2006-02-24
EA008979B1 EA008979B1 (ru) 2007-10-26

Family

ID=32829434

Family Applications (1)

Application Number Title Priority Date Filing Date
EA200501193A EA008979B1 (ru) 2003-01-29 2004-01-29 Улучшенный способ и система для выявления и/или прогнозирования биологических аномалий, например церебральных нарушений

Country Status (13)

Country Link
US (1) US7276026B2 (ru)
EP (1) EP1593077A4 (ru)
JP (2) JP2006516923A (ru)
KR (1) KR20060007001A (ru)
AU (1) AU2004208161B2 (ru)
BR (1) BRPI0406699A (ru)
CA (1) CA2514920A1 (ru)
CR (1) CR7966A (ru)
EA (1) EA008979B1 (ru)
IL (2) IL169988A (ru)
MX (1) MXPA05008122A (ru)
NZ (1) NZ542042A (ru)
WO (1) WO2004068114A2 (ru)

Families Citing this family (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004111201A2 (en) * 2003-06-11 2004-12-23 Research Foundation Of State University Of New York Data classification using point-wise tests
US7640057B2 (en) * 2005-04-25 2009-12-29 Cardiac Pacemakers, Inc. Methods of providing neural markers for sensed autonomic nervous system activity
US9555252B2 (en) 2005-04-25 2017-01-31 Cardiac Pacemakers, Inc. Systems for providing neural markers for sensed autonomic nervous system activity
US8920318B2 (en) * 2005-07-18 2014-12-30 Itegralis Apparatus, method and computer readable code for forecasting the onset of potentially life-threatening disease
WO2008019407A1 (de) * 2006-08-14 2008-02-21 Karl Hoffmann Verfahren zur umwandlung von durch ein eeg gemessenen elektrischen hirnströme in eine mehrdimensionale abbildung
JP2008104529A (ja) * 2006-10-23 2008-05-08 Rokko Bussan:Kk 健康／疾患度測定方法、健康／疾患度測定装置、健康／疾患度測定システム
US20100153146A1 (en) * 2008-12-11 2010-06-17 International Business Machines Corporation Generating Generalized Risk Cohorts
US20110160608A1 (en) * 2007-12-19 2011-06-30 Cerephex Corporation Brain-related chronic pain disorder diagnosis and assessment method
US8382667B2 (en) * 2010-10-01 2013-02-26 Flint Hills Scientific, Llc Detecting, quantifying, and/or classifying seizures using multimodal data
US20090287064A1 (en) * 2008-05-15 2009-11-19 Medical Interactive Education, Llc Computer implemented cognitive self test
US8301443B2 (en) * 2008-11-21 2012-10-30 International Business Machines Corporation Identifying and generating audio cohorts based on audio data input
US8041516B2 (en) * 2008-11-24 2011-10-18 International Business Machines Corporation Identifying and generating olfactory cohorts based on olfactory sensor input
US8749570B2 (en) 2008-12-11 2014-06-10 International Business Machines Corporation Identifying and generating color and texture video cohorts based on video input
US8417035B2 (en) * 2008-12-12 2013-04-09 International Business Machines Corporation Generating cohorts based on attributes of objects identified using video input
US20100153174A1 (en) * 2008-12-12 2010-06-17 International Business Machines Corporation Generating Retail Cohorts From Retail Data
US8190544B2 (en) * 2008-12-12 2012-05-29 International Business Machines Corporation Identifying and generating biometric cohorts based on biometric sensor input
US20100153147A1 (en) * 2008-12-12 2010-06-17 International Business Machines Corporation Generating Specific Risk Cohorts
US20100153597A1 (en) * 2008-12-15 2010-06-17 International Business Machines Corporation Generating Furtive Glance Cohorts from Video Data
US20100153390A1 (en) * 2008-12-16 2010-06-17 International Business Machines Corporation Scoring Deportment and Comportment Cohorts
US8493216B2 (en) 2008-12-16 2013-07-23 International Business Machines Corporation Generating deportment and comportment cohorts
US8219554B2 (en) 2008-12-16 2012-07-10 International Business Machines Corporation Generating receptivity scores for cohorts
US20100153180A1 (en) * 2008-12-16 2010-06-17 International Business Machines Corporation Generating Receptivity Cohorts
US20100153133A1 (en) * 2008-12-16 2010-06-17 International Business Machines Corporation Generating Never-Event Cohorts from Patient Care Data
US11145393B2 (en) 2008-12-16 2021-10-12 International Business Machines Corporation Controlling equipment in a patient care facility based on never-event cohorts from patient care data
US8172759B2 (en) * 2009-04-24 2012-05-08 Cyberonics, Inc. Methods and systems for detecting epileptic events using nonlinear analysis parameters
US8827912B2 (en) 2009-04-24 2014-09-09 Cyberonics, Inc. Methods and systems for detecting epileptic events using NNXX, optionally with nonlinear analysis parameters
US20110184303A1 (en) 2009-08-07 2011-07-28 Nonlinear Medicine, Inc. Methods and Systems Related to Respiration
US9228785B2 (en) 2010-05-04 2016-01-05 Alexander Poltorak Fractal heat transfer device
US10318877B2 (en) 2010-10-19 2019-06-11 International Business Machines Corporation Cohort-based prediction of a future event
KR101205908B1 (ko) 2011-05-26 2012-11-28 건국대학교 산학협력단 보행과 심전도 모니터링을 통한 초기인지장애와 치매 평가 시스템 및 그 방법
JP6344912B2 (ja) * 2013-12-13 2018-06-20 国立大学法人京都大学 てんかん性発作兆候検知装置、てんかん性発作兆候検知モデル生成装置、てんかん性発作兆候検知方法、てんかん性発作兆候検知モデル生成方法、てんかん性発作兆候検知プログラムおよびてんかん性発作兆候検知モデル生成プログラム
JP6778369B2 (ja) * 2015-03-10 2020-11-04 東京都公立大学法人 生体信号解析システムおよびプログラム
JP6313730B2 (ja) * 2015-04-10 2018-04-18 タタ コンサルタンシー サービシズ リミテッドＴＡＴＡ Ｃｏｎｓｕｌｔａｎｃｙ Ｓｅｒｖｉｃｅｓ Ｌｉｍｉｔｅｄ 異常検出システムおよび方法
EP3485215B1 (en) 2016-07-12 2023-06-07 Alexander Poltorak System and method for maintaining efficiency of a heat sink
CN114159071A (zh) * 2021-12-22 2022-03-11 南昌大学 一种基于心电图像的帕金森预测智能化方法及系统

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4215697A (en) * 1978-12-26 1980-08-05 Regents Of The University Of California Aperiodic analysis system, as for the electroencephalogram
US5215099A (en) 1989-06-30 1993-06-01 Ralph Haberl System and method for predicting cardiac arrhythmia utilizing frequency informatiton derived from multiple segments of the late QRS and the ST portion
US5482045A (en) * 1994-10-12 1996-01-09 Advanced Technology Laboratories, Inc. Ultrasonic diagnostic system gain control
US5709214A (en) 1996-05-02 1998-01-20 Enhanced Cardiology, Inc. PD2i electrophysiological analyzer
WO2003083490A2 (en) 2001-06-29 2003-10-09 Biomerieux, Inc. Method for predicting antiphospholid syndrome

Also Published As

Publication number Publication date
IL210065A0 (en) 2011-07-31
WO2004068114A2 (en) 2004-08-12
NZ542042A (en) 2007-07-27
CA2514920A1 (en) 2004-08-12
WO2004068114A3 (en) 2005-04-28
AU2004208161A1 (en) 2004-08-12
AU2004208161B2 (en) 2011-02-10
US20040225202A1 (en) 2004-11-11
MXPA05008122A (es) 2006-03-30
EP1593077A2 (en) 2005-11-09
EP1593077A4 (en) 2006-05-31
US7276026B2 (en) 2007-10-02
JP2006516923A (ja) 2006-07-13
EA008979B1 (ru) 2007-10-26
IL169988A (en) 2011-01-31
CR7966A (es) 2008-12-02
BRPI0406699A (pt) 2005-12-20
KR20060007001A (ko) 2006-01-23
JP2010264264A (ja) 2010-11-25

Similar Documents

Publication Publication Date Title
EA200501193A1 (ru) Улучшенный способ и система для выявления и/или прогнозирования биологических аномалий, например церебральных нарушений
MX2021009726A (es) Metodos y sistemas para determinar un estado relacionado con el embarazo de un sujeto.
HUP0201180A2 (en) Method for the processing of a signal from an alarm and alarms with means for carrying out said method
DE60001968T2 (de) Globale bewegungsschätzung und -kompensation für videokompression
BRPI0400468A (pt) Método para processamento de dados sìsmicos de sensor duplo para atenuar ruìdo
ATE474256T1 (de) Prädiktives emissionsüberwachungssystem und verfahren
ATE359672T1 (de) Verfahren, vorrichtung und programm zur entwicklung von erkennungsalgorithmen
TW200737984A (en) Method and device for tracking a movement of an object or of a person
DE60325328D1 (de) Anordnung und methode zur einstufung seelischer störungen unter verwendung von eeg
DE602006002489D1 (de) Verfahren zur erleichterung eines bohrlochbetriebes
DE69908360D1 (de) Rechnersystem und verfahren zur erklärung des verhaltens eines modelles das eingangsdaten auf ausgangdaten abbildet
ATE476719T1 (de) Verhaltensbasierte anpassung von computersystemen
SE0200624D0 (sv) Medical device
WO2005067692A3 (en) Detection and quantification of analytes in solution using polymers
EA200500355A1 (ru) Способ обнаружения, характеристики и мониторинга углеводородных месторождений
Zhan et al. Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov–Smirnov test statistic—Part I: Compromised autoregressive modeling with the aid of hypothesis tests and simulation analysis
DE60326827D1 (de) System und verfahren zum erkennen von bösartigem code
SE0200949D0 (sv) Method and system for curve quality control
DE602004009716D1 (de) Verwendung von transthyretin als biomarker zum nachweis von kolorektalen adenomen; verfahren und nachweis-system
Lei et al. The influence of noise on nonlinear time series detection based on Volterra–Wiener–Korenberg model
GB2440080A (en) Method and system for sensing a barcode
ATE366405T1 (de) Vorrichtung und verfahren zur bestimmung und/oder überwachung einer prozessgrösse eines mediums
MY198232A (en) System and method for detecting aggressive behaviour activity
ATE427495T1 (de) Diagnoseverfahren fur proteinprofilierung
Venkateswarlu et al. Spectral domain characterization of genome sequences

Legal Events

Date Code Title Description
MM4A Lapse of a eurasian patent due to non-payment of renewal fees within the time limit in the following designated state(s)

Designated state(s): AM AZ BY KZ KG MD TJ TM RU