WO2019125097A1 - Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs - Google Patents

Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs Download PDF

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Publication number
WO2019125097A1
WO2019125097A1 PCT/MX2017/000154 MX2017000154W WO2019125097A1 WO 2019125097 A1 WO2019125097 A1 WO 2019125097A1 MX 2017000154 W MX2017000154 W MX 2017000154W WO 2019125097 A1 WO2019125097 A1 WO 2019125097A1
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WIPO (PCT)
Prior art keywords
alertness
pupillary
pupil
signals
specified
Prior art date
Application number
PCT/MX2017/000154
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English (en)
Spanish (es)
Inventor
Dino Alejandro PARDO GUZMÁN
Antonio MARÍN HERNÁNDEZ
Marcos Antonio SÁNCHEZ GONZÁLEZ
Original Assignee
Pardo Guzman Dino Alejandro
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Application filed by Pardo Guzman Dino Alejandro filed Critical Pardo Guzman Dino Alejandro
Priority to PCT/MX2017/000154 priority Critical patent/WO2019125097A1/fr
Publication of WO2019125097A1 publication Critical patent/WO2019125097A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/11—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/14—Arrangements specially adapted for eye photography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention has its predominant field of application in methods for evaluation of physical fatigue and alertness, specifically to authorize the safe operation of heavy vehicles based on their physical / mental state by means of measurements of Spontaneous Pupil Oscillation signals and bio-signals .
  • Patent US20160256049A1 discloses a method of analyzing bodily reactions to external stimuli with the use of a microprocessor diagnostic system is characterized in that the image obtained from the camera is analyzed in a microprocessor system, in which the image is obtained by exposure of the eye to visible light emitted by an illuminator, and then a video sequence is recorded, and the analysis is performed by the microprocessor executing a program that implements an image analysis algorithm for the detection of characteristics of the image that allow its identification, and first the eye is detected, and then, in the region of its pupil, the geometrical parameters of the pupil are ruled out and its changes over time, and on the basis of the data obtained a diagnostic module generates a test result transmitted to a database.
  • a method of screening a pupil of a subject is described to determine if the pupillary reflex resembles a canonical pupillary reflex.
  • the method comprises the steps of stimulating the pupil with a stimulus source, such as a pupilometer and determining if any of the various pupillary response conditions are met.
  • Patent US20150045012A1 discloses a pupilometry system comprising: a mobile telephone cover comprising a housing capable of receiving a mobile telephone, in which the design comprises a telecentric lens, one or more IR LEDs, one or more visible LEDs , and means for communicating digital information or commands between the mobile phone cover and the mobile telephone.
  • a system and a method include a training framework implemented by computer that adapts its behavior to different types of training objectives.
  • the system uses a measured neurophysiological state of a student to provide at least one self-regulatory feedback and training environment feedback to optimize a learning experience for one or more different types of scenarios.
  • the claim system in which the received bio-signals correspond to bio-signals generated by multiple sensors selected from the group consisting of an electroencephalograph, an electrocardiograph, a galvanic skin response sensor, a heart rate variability sensor and a pupilometric sensor.
  • US20160192837 A1 pupilometry systems for measuring one or more pupillary characteristics of a patient are shown and described.
  • Puillometric systems include at least one camera for capturing image data from one or snooping pupils, at least one radiation source configured to project radiation to one or more pupils, and a computer system in communication of data with the at least one camera, the computer having a processor and a non-transient storage medium readable by computer.
  • Patent US20140313488A1 presents a method for measuring and analyzing an ocular response in a subject comprising the steps of: providing a system based on video oculography for the subject, with the system configured to collect eye images in excess of 60 hz and configured to resolve minor eye movements of at least 3 degrees of movement; Collecting ocular data with the system based on video oculography in which at least one stimulus is presented to only one eye of the subject and is configured to oroduce a pupil eye response from at least one eye of the subject; Calculation of pupilometry measurements from the eye data, in which the pupil measurements are calculated independently for the left and right eyes of the subject for each stimulus presented to the subject, and where the comparative measurements of left and right pupilometry are calculated of the eye data; analyze the ocular response of a subject based on at least one of the calculated pupilometry measurements.
  • the pupilometer may comprise an imaging sensor for generating signals representative of a pupil of an eye, a data processor; and a program executable by the data processor to allow the data processor to process signals received from the imaging sensor and thereby identify one or more regions of non-uniformity within an image of a perimeter of the pupil.
  • Figure 1 is a schematic diagram of the steps of the method of the present invention.
  • FIG. 2 is a schematic diagram of the detection of the diameter of the pupil [201].
  • an image pre-processing algorithm [103] is applied to segment, detect, and model time-frequency patterns of Spontaneous Pupil Oscillation signals by applying the Hilbert-Huang (HHT) transform and where the pre-processing includes the detection and elimination of blinking and interpolation of images followed by the application of the empirical Modal Decomposition Method (EMD) to describe the behavior of the OPE as the superposition of Intrinsic Modal Functions (MFIs).
  • EMD empirical Modal Decomposition Method
  • an algorithm [103] is applied to calculate general parameters a) Basal diameter (self-referenced parameter to pupil diameter without stimuli); b) Constraint speed at the end of dilation, c) Minimum opening after stimulation, d) Reflex amplitude (amplitude of the pupillary reflex to light, e) Percentage of reflex amplitude of the initial diameter, f) Dilation time 75 percent of the reflected amplitude, g) index of pupil restlessness, and h) Cumulative pupil variability rate.
  • the clinical history [105] is analyzed with current diseases and types of medications used, and the physical state of the driver by means of the multidimensional module [106] that contains sensors to measure heart rate, blood oxygen level and temperature.
  • IIP pupillary anxiety index

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Ophthalmology & Optometry (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Algebra (AREA)
  • Primary Health Care (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Eye Examination Apparatus (AREA)

Abstract

La présente invention concerne une méthode d'évaluation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité sur la base de l'état physique/mental au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs.
PCT/MX2017/000154 2017-12-19 2017-12-19 Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs WO2019125097A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/MX2017/000154 WO2019125097A1 (fr) 2017-12-19 2017-12-19 Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/MX2017/000154 WO2019125097A1 (fr) 2017-12-19 2017-12-19 Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs

Publications (1)

Publication Number Publication Date
WO2019125097A1 true WO2019125097A1 (fr) 2019-06-27

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PCT/MX2017/000154 WO2019125097A1 (fr) 2017-12-19 2017-12-19 Méthode d'évalutation de la fatigue physique et de l'état de veille pour autoriser la conduite de véhicules en toute sécurité au moyen de mesures de signaux d'oscillation pupillaire spontanée et de biocapteurs

Country Status (1)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
MX2016014287A (es) * 2015-10-30 2017-06-16 Ford Global Tech Llc Deteccion y prevencion de conduccion incapacitada.

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
MX2016014287A (es) * 2015-10-30 2017-06-16 Ford Global Tech Llc Deteccion y prevencion de conduccion incapacitada.

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
H. S. SAINI, R. K. ET AL., INNOVATIONS IN ELECTRONICS AND COMMUNICATION ENGINEERING: PROCEEDINGS OF THE FIFTH ICIECE 2016, 26 January 2017 (2017-01-26), pages 156 - 157, Retrieved from the Internet <URL:https://web.archive.org/web/2017012611.0815> [retrieved on 20180709] *
HU CANYANG ET AL.: "Analysis of Non-stationary Earthquake Ground Motion Energy Changing Based on Orthogonal HHT Theory", 2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA) 2011, vol. 2, 30 November 2010 (2010-11-30), Piscataway, NJ, USA, pages 455 - 458, XP055620867, ISBN: 978-1-61284-289-9 *
LEON-SARMIENTO, FIDIAS E. ET AL.: "Pupila, pupilometria y pupilografia", ACTA NEUROL COLOMB, vol. 24, no. 4, 2008, pages 188 - 197, XP055620859, Retrieved from the Internet <URL:https://www.researchsate.net/profile/Diddier_Prada/publication/255627456_Pupila_pupilometria_y_pupilografia/links/0f31753661bb051717000000.pdf> [retrieved on 20180702] *
ROBERT P. LOCE ET AL.: "Computer Vision and Imaging in Intelligent Transportation Systems", WILEY, 29 March 2017 (2017-03-29), Retrieved from the Internet <URL:https://onlinelibrary.wiley.com/doi/book/10.1002/9781118971666> [retrieved on 20180709] *
VILLALOBOS-CASTALDI FABIOLA M ET AL.: "A new spontaneous pupillary oscillation-based verification system", EXPERT SYSTEMS WITH APPLICATIONS, vol. 40, no. 13, 6 April 2013 (2013-04-06), OXFORD, GB, pages 5352 - 5362, XP028543963, ISSN: 0957-4174, Retrieved from the Internet <URL:https:/lwww.researchgate.net/profile/Fabiola_Villalobos-Castaldi/publication/258020516_Oleswa_final.final/data/Oc9605269937062fac000000/01eswa-final-final.pdf> [retrieved on 20180705] *
VILLALOBOS-CASTALDI FABIOLA M ET AL.: "Time-frequency analysis of spontaneous pupillary oscillation signals using the Hilbert-Huang transform.", BIOMEDICAL SIGNAL PROCESSING AND CONTROL, vol. 30, 14 July 2016 (2016-07-14), pages 106 - 116, XP029687876, ISSN: 1746-8094, Retrieved from the Internet <URL:https://www.sciencedirect.com/science/article/pii/S1746809416300544> *

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