UY39168A - Análisis de electrocardiogramas - Google Patents

Análisis de electrocardiogramas

Info

Publication number
UY39168A
UY39168A UY0001039168A UY39168A UY39168A UY 39168 A UY39168 A UY 39168A UY 0001039168 A UY0001039168 A UY 0001039168A UY 39168 A UY39168 A UY 39168A UY 39168 A UY39168 A UY 39168A
Authority
UY
Uruguay
Prior art keywords
ecg
acquired
patient
traces
cardiac activity
Prior art date
Application number
UY0001039168A
Other languages
English (en)
Inventor
Luigi Anastasia
Boyd Christy Ashton
Giuseppe Ciconte
robert grant Edward
Robinson Melo Luke
Carlo Pappone
Original Assignee
J Wave Diagnostics S R L
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 J Wave Diagnostics S R L filed Critical J Wave Diagnostics S R L
Publication of UY39168A publication Critical patent/UY39168A/es

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
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • 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
    • A61B5/72—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
    • A61B5/7235—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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • 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)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Pathology (AREA)
  • Cardiology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Psychiatry (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Investigating Or Analysing Materials By The Use Of Chemical Reactions (AREA)

Abstract

Un método informático para facilitar el análisis de electrocardiogramas (“ECG”) involucra recibir uno o más trazados del ECG adquiridos para un paciente, siendo que cada uno de los trazados del ECG adquiridos representa la actividad cardíaca del paciente detectada durante un período de tiempo adquirido, y, para cada uno de los uno o más trazados del ECG adquiridos: identificar una pluralidad de correspondientes segmentos del trazado del ECG adquiridos del ECG, siendo que cada uno de los segmentos del trazado del ECG adquiridos representa la actividad cardíaca del paciente detectada para el paciente durante un segmento del período de tiempo de adquisición.
UY0001039168A 2020-04-09 2021-04-09 Análisis de electrocardiogramas UY39168A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063007496P 2020-04-09 2020-04-09
EP20169028.6A EP3893246B1 (en) 2020-04-09 2020-04-09 Electrocardiogram analysis

Publications (1)

Publication Number Publication Date
UY39168A true UY39168A (es) 2021-10-29

Family

ID=70285496

Family Applications (1)

Application Number Title Priority Date Filing Date
UY0001039168A UY39168A (es) 2020-04-09 2021-04-09 Análisis de electrocardiogramas

Country Status (16)

Country Link
US (1) US11179088B2 (es)
EP (1) EP3893246B1 (es)
JP (1) JP2023520944A (es)
KR (1) KR20220166812A (es)
CN (1) CN115552545A (es)
AR (1) AR121808A1 (es)
AU (1) AU2021252645A1 (es)
BR (1) BR112022020303A2 (es)
CA (1) CA3174101A1 (es)
ES (1) ES2924025T3 (es)
IL (1) IL296987A (es)
MX (1) MX2022012682A (es)
PT (1) PT3893246T (es)
TW (1) TW202143915A (es)
UY (1) UY39168A (es)
WO (1) WO2021205355A1 (es)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024019500A1 (ko) * 2022-07-22 2024-01-25 주식회사 메디컬에이아이 심전도 세그먼트를 이용한 건강 상태의 예측 방법, 프로그램 및 장치

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10602942B2 (en) * 2017-08-25 2020-03-31 Cambridge Heartwear Limited Method of detecting abnormalities in ECG signals

Also Published As

Publication number Publication date
US20210315506A1 (en) 2021-10-14
MX2022012682A (es) 2022-11-30
US11179088B2 (en) 2021-11-23
PT3893246T (pt) 2022-08-05
BR112022020303A2 (pt) 2022-12-06
ES2924025T3 (es) 2022-10-04
KR20220166812A (ko) 2022-12-19
AR121808A1 (es) 2022-07-13
JP2023520944A (ja) 2023-05-22
WO2021205355A1 (en) 2021-10-14
TW202143915A (zh) 2021-12-01
EP3893246A1 (en) 2021-10-13
IL296987A (en) 2022-12-01
CN115552545A (zh) 2022-12-30
EP3893246B1 (en) 2022-05-04
CA3174101A1 (en) 2021-10-14
AU2021252645A1 (en) 2022-11-03

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