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1. WO2020136571 - METHODS AND SYSTEMS TO CONFIGURE AND USE NEURAL NETWORKS IN CHARACTERIZING PHYSIOLOGICAL SYSTEMS

Publication Number WO/2020/136571
Publication Date 02.07.2020
International Application No. PCT/IB2019/061314
International Filing Date 23.12.2019
IPC
G16H 50/20 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/00 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/04 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
04Measuring bioelectric signals of the body or parts thereof
G06N 3/02 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
CPC
A61B 5/7275
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7271Specific aspects of physiological measurement analysis
7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06K 9/6262
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6262Validation, performance evaluation or active pattern learning techniques
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants
  • ANALYTICS FOR LIFE INC. [CA]/[CA]
Inventors
  • KHOSOUSI, Ali
  • BURTON, Timothy William Fawcett
  • GILLINS, Horace
  • RAMCHANDANI, Shyamlal
  • SANDERS, William
  • SHADFORTH, Ian
Priority Data
62/784,92526.12.2018US
62/907,14127.09.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) METHODS AND SYSTEMS TO CONFIGURE AND USE NEURAL NETWORKS IN CHARACTERIZING PHYSIOLOGICAL SYSTEMS
(FR) PROCÉDÉS ET SYSTÈMES DE CONFIGURATION ET D'UTILISATION DE RÉSEAUX NEURONAUX DANS LA CARACTÉRISATION DE SYSTÈMES PHYSIOLOGIQUES
Abstract
(EN)
The exemplified methods and systems facilitate the configuration and training of a neural network (e.g., a deep neural network, a convolutional neural network (CNN), etc.), or ensemble(s) thereof, with a biophysical signal data set to ascertain estimate for the presence or non-presence of disease or pathology in a subject as well as to assess and/or classify disease or pathology, including for example in some cases the severity of such disease or pathology, in a subject. In the context of the heart, the methods and systems described herein facilitate the configuration and training of a neural network, or ensemble(s) thereof, with a cardiac signal data set to ascertain estimate for the presence or non-presence of coronary artery disease or coronary pathology.
(FR)
Les procédés et systèmes donnés à titre d'exemple facilitent la configuration et l'apprentissage d'un réseau neuronal (par exemple, un réseau neuronal profond, un réseau neuronal à convolution (CNN), etc.), ou d'un ou plusieurs ensembles associés, au moyen d'un ensemble de données de signal biophysique servant à déterminer une estimation de la présence ou non d'une maladie ou d'une pathologie chez un sujet, ainsi qu'à évaluer et/ou classifier une maladie ou une pathologie, notamment, par exemple, dans certains cas, la gravité d'une telle maladie ou pathologie, chez un sujet. Dans le contexte du cœur, les procédés et systèmes selon l'invention facilitent la configuration et l'apprentissage d'un réseau neuronal, ou d'un ou plusieurs ensembles associés, au moyen d'un ensemble de données de signal cardiaque en vue de déterminer une estimation de la présence ou non d'une maladie coronarienne ou d'une coronaropathie.
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