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1. WO2020139431 - HIGH FREQUENCY QRS IN BIOMETRIC IDENTIFICATION

Publication Number WO/2020/139431
Publication Date 02.07.2020
International Application No. PCT/US2019/053542
International Filing Date 27.09.2019
IPC
A61B 5/00 2006.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
CPC
A61B 5/117
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
117Identification of persons
A61B 5/30
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
30Input circuits therefor
A61B 5/349
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiogaphy [ECG]
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
A61B 5/7257
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
7235Details of waveform analysis
7253characterised by using transforms
7257using Fourier transforms
A61B 5/7267
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
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
7267involving training the classification device
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • DELGADO, Reynolds [US]/[US]
Inventors
  • DELGADO, Reynolds
Agents
  • MIRABEL, Eric, P.
Priority Data
62/739,74101.10.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) HIGH FREQUENCY QRS IN BIOMETRIC IDENTIFICATION
(FR) QRS HAUTE FRÉQUENCE DANS UNE IDENTIFICATION BIOMÉTRIQUE
Abstract
(EN)
Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.
(FR)
L'invention concerne l'échantillonnage de signaux QRS HF d'un certain nombre de sujets (ou de valeurs ou de caractéristiques dérivées), et l'utilisation, par exemple, de réseaux neuronaux convolutifs à apprentissage profond pour trouver des caractéristiques ou des valeurs qui sont (i) suffisamment similaires pour le même sujet sur tous les échantillons, mais (ii) suffisamment différentes parmi différents sujets pour permettre l'identification. L'invention concerne également la découverte de signatures qui sont suffisamment stables sur une période particulière de sorte que ces signatures se trouvent à l'intérieur d'un seuil de déviation, et ensuite la surveillance de tous les sujets à identifier au moins aussi souvent que la période utilisée pour établir le seuil de déviation.
Also published as
EP2019905528
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