EP4240230A1 - Disease detection system - Google Patents

Disease detection system

Info

Publication number
EP4240230A1
EP4240230A1 EP21798042.4A EP21798042A EP4240230A1 EP 4240230 A1 EP4240230 A1 EP 4240230A1 EP 21798042 A EP21798042 A EP 21798042A EP 4240230 A1 EP4240230 A1 EP 4240230A1
Authority
EP
European Patent Office
Prior art keywords
data
person
processing device
acquisition device
camera
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP21798042.4A
Other languages
German (de)
French (fr)
Inventor
Georges De Pelsemaeker
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Valeo Systemes Thermiques SAS
Original Assignee
Valeo Systemes Thermiques SAS
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 Valeo Systemes Thermiques SAS filed Critical Valeo Systemes Thermiques SAS
Publication of EP4240230A1 publication Critical patent/EP4240230A1/en
Pending legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6893—Cars
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
    • 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
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
    • 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
    • A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A61B5/02427—Details of sensor
    • A61B5/02433—Details of sensor for infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the present invention relates to a system for detecting a disease on a person, in particular a contagious disease such as an acute respiratory distress disease such as COVID 19.
  • a contagious disease such as an acute respiratory distress disease such as COVID 19.
  • the subject of the invention is thus a system for detecting a disease on a person, in particular a contagious disease such as COVID 19, this detection system comprising:
  • this acquisition device comprising in particular at least one physiological measurement sensor such as a radar, and a thermal camera for acquiring this examination data,
  • [7] - a display device arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person is suffering from the disease .
  • the data processing device comprises an artificial intelligence unit arranged to process the examination data obtained by the acquisition device and to supply said diagnostic information.
  • the data processing device and the display device are part of the same device, for example a computer, in particular a laptop computer.
  • the display device is a laptop computer screen and the data processing device includes this computer's microprocessor.
  • the display device is arranged to be visible to the examined person, and in particular the display device, which notably comprises a screen, is remote from the data processing device, these display and data processing being for example interconnected by a wireless link, for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
  • a wireless link for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
  • the display device and possibly also the data processing device, are arranged to be embedded in a motor vehicle.
  • the display device and possibly also the data processing device, are arranged to be placed in a fixed manner, in a building or an outdoor courtyard for example.
  • the processing device is arranged to make the diagnosis automatically, without human intervention.
  • the invention allows rapid diagnosis and/or massive screening allowing a return to work or faster deconfinement.
  • the examination data acquisition device is arranged to allow non-contact and safety distance measurements of vital signals and thermal and visible imaging on the person to examine.
  • the system according to the invention thus advantageously uses the fusion of measurements without contact and at a safety distance, of vital signals and of thermal and visible imaging.
  • the artificial intelligence unit is arranged to use a diagnostic model based on artificial intelligence and fed by a reasonable number of clinical measurements.
  • the invention due to relatively light equipment, notably allows easy deployment of field hospitals in support of populations.
  • the invention allows diagnostics to be carried out in a mobile manner. Its implementation, for example using a thermal camera, a physiological measurement sensor such as a radar and a portable personal computer, is easy. The invention allows its rapid implementation throughout a territory.
  • the acquisition device comprises a radar for acquiring data relating to the vital signs of the person, a thermal camera for temperature measurements providing temperature data, and a camera operating in the visible spectrum for the characterization of the person tested providing data characterization of the person.
  • the data processing device is arranged to run a diagnostic algorithm based on a fusion of vital data, in particular a respiratory rate, an amplitude of respiration, a time of inspiration and expiration, heart rhythm and arrhythmia.
  • the algorithm uses temperatures measured on remarkable areas, located by image processing, or even the oxygen level linked to the person examined.
  • these remarkable temperature measurement zones are located inside the mouth, on the tip of the nose, on the cheekbones and the palm of the hand.
  • the diagnostic algorithm uses a characterization of the person, such as data on age, gender, clothing, height, body mass index , also called BMI.
  • the system is arranged to carry out the acquisition of examination data until the provision of the diagnostic information in a period of time comprised in particular between 30 and 120 seconds.
  • the system is arranged to allow acquisition of examination data by taking measurements at a distance of 60 cm to 2 m between the acquisition device and the person. It is avoided that the person has to be in contact with the acquisition device.
  • the invention thus allows rapid diagnosis without additional delay in getting to a doctor, for example. Diagnostic information can, if necessary, be automatically sent to a doctor and can be kept on a cloud-type data storage system.
  • the data processing device uses an algorithm for analyzing the acquired examination data and, if necessary, for sorting people with the aim of detecting cases of sick people, based on all the data collected and an artificial intelligence whose first level of learning is carried out on a sample in a hospital environment.
  • This learning by artificial intelligence can be carried out by means of a set of measurements collected by the system but also by means of the medical follow-up of patients. This allows the improvement of the model over time.
  • the measurements made by the acquisition device can be used to subsequently refine the diagnosis made by the artificial intelligence.
  • the measured examination data includes at least one of the following data: temperatures measured at different points of the body of the person to be examined, a respiratory or cardiac characteristic.
  • the acquisition device is arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also, where appropriate, a maximum face temperature and a reference temperature-controlled garment or surface temperature.
  • the remarkable measurement points are located by an artificial intelligence by means of an object identification flowchart.
  • the temperature relative to a remarkable point is obtained by time average and by average of the temperatures of a surface defined by pixels taken from an infrared camera image near the remarkable point identified on the visible image by means of an object identification algorithm.
  • the identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera) or Far Infrared (FIR camera) in addition to an identity reading of the person, thanks to a classification system which can be learned on RGB (Red Green Blue) or Infrared images.
  • RGB Red Green Blue
  • FIR camera Far Infrared
  • the diagnostic model, or diagnostic algorithm which is fed with more data such as remarkable body temperatures, ambient temperature, a class of personal characteristics, a time of day, can be arranged to additionally use route data of the examined person to check whether he has come across a sick person or has passed through a region at risk.
  • the system is arranged to operate in the absence of a radar and using RGB cameras to estimate cardiac and respiratory parameters.
  • the temperature relative to a remarkable point can be obtained by time average and by average of the temperatures of a surface defined by pixels taken from a camera image near the remarkable point.
  • the remarkable point is for example defined geometrically by means of an image zone called Building box, which surrounds it, for example by means of the geometric mean of the sides of the image area.
  • This image area is a surface delimited by a series of points which is constructed by an object identification algorithm.
  • the system does not have an RGB camera and/or does not use the surface whose temperature is controlled.
  • the system uses the external temperature and a heat transfer model on the covered areas or even only the temperature differences between the remarkable points.
  • the system is arranged to use a fusion of non-contact measurements, in particular of vital signals and thermal and visible imaging.
  • the diagnostic information is comprised of a class chosen from three predetermined classes which are "Healthy person”, “Person with a suspicion of disease”, “Person with a high probability of disease”.
  • Diagnostic information may also include an assessment of disease severity.
  • the invention also relates to a method for providing diagnostic information for the detection of a disease in a person, in particular a contagious disease such as COVID 19, this method comprising the following steps:
  • an acquisition device comprising in particular at least one physiological measurement sensor such as a radar, and a thermal camera to acquire this examination data
  • the present invention can allow controls in the public space in general, in particular on people's circulation routes, at entrances and exits of buildings, at airport gates, in schools.
  • the object of the invention is also to detect a disease on a person, in particular a contagious disease such as COVID 19, this detection system comprising:
  • this acquisition device comprising in particular at least one sensor for physiological measurement such as a radar, and a thermal camera for acquiring this examination data,
  • this data processing device being arranged to generate a corrected value, or also called normalized value, obtained from at least one examination datum measured by the acquisition device and corrected by a corrective term from a patch table.
  • the invention makes it possible to correct errors in context measurements and variations between individuals, variations linked to their bodily characteristics such as age, gender and/or body size.
  • the normalized value can comprise a component encoded by default or be a value encoded by default.
  • a first corrective term is linked to two effects, a first effect being the correction linked to the effect of the variation in the temperature of the room on the camera of the device. acquisition, in particular on the camera cell.
  • a drift in the measurement when the camera temperature changes This is the case when the room temperature changes because, in general, the measurement is not absolute but differential.
  • the second part of this correction depends on the impact of ambient temperature on the physiology of the person being tested. When the room temperature rises, that person's skin temperature changes slightly to keep the body in ideal survival conditions.
  • a second corrective term corresponds to a change of reference of the zone of the person to be tested.
  • the third term corresponds to a correction linked to the age of the person tested.
  • the fourth corrective term corresponds to a correction linked to the gender of the person.
  • the fifth corrective term corresponds to a clothing level of the person tested.
  • the sixth corrective term corresponds to the observation that a person's temperature naturally fluctuates according to the time of day. This is the circadian cycle.
  • the temperature of the person is normalized at a reference time, for example 6 o'clock in the morning.
  • the processing device is arranged to process examination data obtained for example using a camera, thermocouples, radar, oximeter of the acquisition device, in order to normalize them with a view to obtaining said normalized value, and to make them comparable to one or more universal values.
  • a universal value corresponds to a value obtained using synthetic characteristics of a fictitious reference person. These characteristics are preferably average values, measured in particular on a reference population, for example women aged 25 to 35. years old, BMI of 25, living in Northern Europe. Such a fictitious reference person is called a Persona.
  • the acquisition device comprises a radar to acquire at least one data relating to a vital sign of a person, one or two thermal cameras to acquire temperature data and a camera operating in the visible light range to acquire characterization data of a tested person.
  • the acquisition device further comprises an NIR camera, capable of operating in the near infrared, with an illuminator, this camera being arranged to acquire ambient temperature data , ambient light and time of day.
  • the acquisition device further comprises an NIR camera, capable of operating in the near infrared, arranged to measure the person's oximetry and respiratory characteristics. tested.
  • the examination data acquired by the acquisition device are chosen from: a characteristic of a temperature relating to a person tested, a cardiac, respiratory or circulatory characteristic of the blood of the person being tested.
  • the processing device comprises a memory of universal values to which are compared the corrected values resulting from the examination data acquired by the acquisition device.
  • the corrected values underwent a correction based on taking into account context measurement errors and/or variations between individuals, variations linked to their bodily characteristics such as age, gender and build.
  • these cameras and radar are in particular embedded in a vehicle.
  • the data processing device (3) is arranged to carry out a fusion of data resulting from the acquisition of data from the aforementioned cameras and radars, these data comprising in particular data relating to vital signs, temperature data and characterization data of the person tested, ambient temperature data, ambient light and time of day.
  • the data processing device is arranged to carry out, using an algorithm, a diagnosis based on a fusion of vital data including in particular a respiratory rhythm, a respiratory amplitude, inspiration and expiration time, cardiac rhythm and arrhythmia.
  • the fusion of data to perform the diagnosis also includes data from an indirect oximetry measurement, temperature data measured on remarkable areas of the person tested, areas located in particular by image processing, these areas being for example the inside of the mouth, the tip of the nose, the cheekbones and/or the palm of the hand of the person tested, characterization data of the person such as age, gender, dress, BMI body mass index, genotype, and environmental data such as ambient temperature.
  • the system comprises a display device arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information possibly being representative of a level of probability that the person has the disease.
  • the oximetry data of the person tested is in particular a function of a relative variation of the values obtained for example by the two NIR and FIR cameras between two lighting states with the illuminator and identifying the predefined or learned remarkable points thanks to the camera operating in the visible light domain and an object identification model defined by learning.
  • this involves placing a virtual mesh on the face of the person tested and following the nodes which define this mesh.
  • the two NIR and FIR cameras produce different images which vary when the wavelengths of the incident light change and a fortiori when the illuminator emits different non-visible artificial lights.
  • the comparison of the values read on the FIR and NIR cameras with and without illumination helps identify the oxygenation of the person being tested.
  • illumination can be at multiple wavelengths because absorption and reflection from the test person's skin depends on the test person's oxygenation level or red blood cell components.
  • the invention thus proposes in particular to compare the values between the different points of the face in order to complete this evaluation. This comparison also makes it possible to assess circulation problems and potentially skin problems.
  • the resolution of the facial mesh can be large or finer depending on the expected accuracy or the diagnosis to be made.
  • the invention thus proposes the addition of the evaluation of oxygenation in the blood for comparative measurement between thermal camera(s) in the presence or absence of one or more illuminations with different or centered spectra on different wavelengths, or by identification of the metabolism by studying the difference in behavior of several remarkable points (nose, cheekbone, hand, forehead, mouth, eye, etc.)
  • the processing device is arranged to perform a correction taking into account the circadian cycle and the ambient temperature for the threshold values, optionally also to correct drifts in the measurements of the NIR and FIR cameras as well as a possible radar.
  • FIG. 1 schematically illustrates a system according to a non-limiting embodiment of the invention.
  • Figures 1 and 2 show a system 1 for detecting a disease on a person, in particular a contagious disease such as COVID 19, according to the invention.
  • This system 1 comprises: a device 7 for acquiring examination data on the person, - a data processing device 3 arranged to receive these examination data obtained by the acquisition device 7,
  • a display device 30 arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person has the disease.
  • This system 1 includes in particular:
  • this sensor being a camera operating in the near infrared
  • a respiratory activity sensor in particular in frequency and/or respiratory amplitude, of at least one passenger, this sensor being a camera operating in the far infrared, or thermal camera,
  • a radar arranged to measure the person's vital signs
  • a sensor of the passenger's profile characteristics in particular his gender, weight, height and age, this sensor being here a Red Green Blue camera, also called RGB camera in English,
  • - a card reader to read a person's identity card and obtain the person's personal data.
  • sensors and cameras which are part of the acquisition device 7, are represented by reference 2 in Figure 1.
  • Some sensors 2 are for example arranged on a ceiling of the vehicle.
  • One of the other cameras 2 is arranged in a side upright 6 of the vehicle V.
  • the heart rate and respiration sensor may be in the seat back or in the center console at the level of the passenger's thigh, this being non-limiting.
  • the data processing device 3 comprises an artificial intelligence unit arranged to process the examination data obtained by the acquisition device 7 and supply said diagnostic information.
  • the data processing device 3 and the display device 30 are part of the same device, for example a computer, in particular a laptop computer.
  • the display device 30 is a screen of the laptop computer and the data processing device includes this computer's microprocessor.
  • the display device 30 is arranged to be visible to the person examined, and in particular the display device, which notably comprises a screen, is remote from the data processing device, these display and processing devices data being for example interconnected by a wireless link, for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
  • a wireless link for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
  • the display device 30, and also the data processing device 3, are here arranged to be embedded in a motor vehicle.
  • the display device 30, and possibly also the data processing device 3 are arranged to be placed in a fixed manner, in a building or an outdoor courtyard for example.
  • the processing device 3 is arranged to make the diagnosis automatically, without human intervention.
  • the examination data acquisition device 7 is arranged to allow non-contact and safety distance measurements of vital signals and thermal and visible imaging on the person to be examined.
  • the system according to the invention thus advantageously uses the fusion of measurements without contact and at a safe distance, vital signals and thermal and visible imaging.
  • the artificial intelligence unit is arranged to use a diagnostic model based on artificial intelligence and fed by a reasonable number of clinical measures.
  • the invention allows diagnostics to be carried out in a mobile manner. Its implementation, for example using a thermal camera, a physiological measurement sensor such as a radar and a portable personal computer, is easy.
  • the acquisition device 7 comprises a radar to acquire data relating to the vital signs of the person, a thermal camera for temperature measurements providing temperature data, and a camera operating in the visible spectrum for the characterization of the person being tested providing data characterizing the person.
  • the data processing device 3 is arranged to run a diagnostic algorithm based on a fusion of vital data, including breathing rate, breathing amplitude, inspiration and expiration time, rhythm and cardiac arrhythmia, oximetry.
  • these remarkable temperature measurement zones are located inside the mouth, on the tip of the nose, on the cheekbones and the palm of the hand.
  • the diagnostic algorithm uses a characterization of the person, such as age, gender, dress, height, body mass index data.
  • the system is designed to carry out the acquisition of examination data until the provision of diagnostic information in a period of time comprised in particular between 30 and 120 seconds.
  • the invention thus allows rapid diagnosis without additional delay in getting to a doctor, for example.
  • the diagnostic information can, if necessary, be sent automatically to a doctor and can be kept on a data storage system 40 of Cloud type.
  • the data processing device 3 uses an algorithm for analyzing the acquired examination data and, if necessary, sorting people with the aim of detecting cases of sick people, based on the set from data collected and an artificial intelligence whose first level of learning is carried out on a sample in a hospital environment.
  • the measurements taken by the acquisition device can be used to later refine the diagnosis made by the artificial intelligence.
  • the measured examination data includes at least one of the following data: temperatures measured at different points of the body of the person to be examined, a respiratory or cardiac characteristic.
  • the acquisition device 7 is arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also, if necessary , a peak face temperature, and a reference temperature-controlled clothing or surface temperature.
  • the identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera) or Far Infrared (FIR camera) in addition to a reading of the person's identity, thanks to a classification system whose learning can be performed on RGB (Red Green Blue) or Infrared images.
  • RGB Red Green Blue
  • FIR camera Far Infrared
  • the diagnostic model, or diagnostic algorithm which is fed with more data such as remarkable body temperatures, ambient temperature, class of personal characteristics, time of day, can be arranged to additionally use person journey data examined to check whether it has crossed paths with a sick person or passed through a region at risk.
  • the temperature relative to a remarkable point can be obtained by temporal average and by average of the temperatures of a surface defined by pixels resulting from a camera image near the remarkable point.
  • the remarkable point is for example defined geometrically by means of an image area called Building box, which surrounds it. This image area is a surface delimited by a series of points which is constructed by an object identification algorithm.
  • the diagnostic information is comprised of a class chosen from three predetermined classes which are "Healthy person”, “Person with a suspicion of disease”, “Person with a high probability of disease”.
  • diagnostic information for the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person has the disease (step 29).
  • Steps 20 to 25 are as follows:
  • step 20 the identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera), this is step 20,
  • - acquisition of the respiratory rate step 22 using the FIR camera - acquisition of the heart rate in step 23 using the near infrared camera, or NIR camera, namely a camera capable of operating in the near infrared,
  • NIR near-infrared
  • Examination data may, where appropriate, include pupil size and position.
  • Diagnostic information is automatically sent to a cloud-based remote data storage system.
  • the acquisition device is in particular arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also the case where applicable, a maximum facial temperature and a temperature of a garment or of a reference temperature-controlled surface, and where applicable a respiratory volume, tremors, the level of oxygen in the blood.
  • Detection system 1 includes:
  • this acquisition device comprising in particular at least one sensor for physiological measurement such as a radar, and a thermal camera for acquiring this examination data
  • a data processing device 3 arranged to receive these examination data obtained by the acquisition device, and this data processing device 3 is arranged to generate a corrected value, or also called normalized value, obtained from at least one examination datum measured by the acquisition device 7 and corrected by a corrective term from a correction table.
  • This correction table may be a table stored by the processing device or, as a variant, an updated table of values, in particular thanks to an artificial intelligence unit.
  • the processing device is arranged to process examination data obtained using a camera, thermocouples, radar, an oximeter of the acquisition device, in order to standardize them and make them comparable to one or more universal values.
  • the acquisition device 7 comprises a radar to acquire at least one data relating to a vital sign of a person, two thermal cameras to acquire temperature data and a camera operating in the field visible light to acquire characterization data of a tested person.
  • the acquisition device 7 further comprises an NIR camera, capable of operating in the near infrared, with an illuminator, this camera being arranged to acquire data on ambient temperature, ambient luminosity and the time of the day.
  • the acquisition device 7 also includes an NIR camera, capable of operating in the near infrared, arranged to measure the oximetry and respiratory characteristics of the person tested.
  • the examination data acquired by the acquisition device are chosen from: a characteristic of a temperature relating to a person tested, a cardiac, respiratory or circulatory characteristic of the blood of the person tested.
  • the processing device comprises a memory of universal values with which the corrected values, or normalized values, resulting from the examination data acquired by the acquisition device are compared.
  • the corrected values underwent a correction based on taking into account errors in context measurements and/or variations between individuals, variations linked to their bodily characteristics such as age, gender and diverence.
  • the temperature taken on the head of the person tested using the acquisition device 7 is 37.8° which is a temperature usually considered as that of a person with a fever. This measurement corresponds to an examination data of 100.
  • the invention here makes it possible to correct this conclusion "person with a fever” / "person without a fever” according to the corrective terms of the correction table.
  • the first correction associated with a corrective term 101 , is linked to two effects.
  • a first effect is the correction linked to the effect of the variation in the temperature of the room on the camera of the acquisition device 7, in particular on the cell of the camera.
  • the second part of this correction depends on the impact of ambient temperature on the physiology of the person being tested. When the room temperature rises, the temperature of that person's skin changes slightly to keep the body in ideal survival conditions. In the example described here, the sum of the two correction effects gives a corrective term of -0.3°C because the reference temperature is 20° and the room temperature here is 23°C.
  • a body temperature of the person tested of 37.5°C at 23°C ambient corresponds respectively to 37.2°C at 20°C.
  • the second term, reference 102 has a value equal to 0.
  • This term 102 is chosen to, in the context of a change of reference, bring the temperature measured at the level of the mouth to that of the forehead. For example 37.5°C in the mouth corresponds to 37.8°C on the forehead.
  • the third term, reference 103 corresponds to a correction linked to the age of the person tested, here of value 0.
  • a corrective term of 0.1°C is chosen for a patient of 50 years compared to a reference of 30 years.
  • a measurement of 37.5°C at 50 years old corresponds to 37.6°C at 30 years old.
  • the fourth corrective term, reference 104 corresponds to a gender-related correction. For example, women have a slightly higher average temperature than men. The normalized temperature is therefore calculated with respect to the female gender, and the corrective term 104 is applied for a male tested person.
  • the fifth corrective term, reference 105 corresponds to a clothing level of the person tested.
  • the sixth corrective term, reference 106 corresponds to the observation that a person's temperature fluctuates naturally depending on the time of day. This is the circadian cycle.
  • the temperature of the person is normalized at a reference time, for example 6 o'clock in the morning.
  • the seventh and eighth corrective terms 107 and 108 depend respectively on the body mass index BMI and the physical form of the person.
  • the global correction represented by the global corrective term 110, is the sum of the corrective terms 101 to 108.
  • This global corrective term 110 allows a standardization of the temperature measurement, which allows a comparison with one or more threshold values and therefore to define a risk of contamination.
  • the corrected temperature 111 is 37.3°, which corresponds to a 0% risk of having a fever.
  • the corrected temperature here 37.3°
  • a stored universal temperature here a fever threshold value at 37.7°, for example.
  • the data processing device 3 is arranged to carry out, using an algorithm, a diagnosis based on a fusion of vital data including in particular a respiratory rate, a respiratory amplitude, a inspiration and expiration time, cardiac rhythm and arrhythmia. All of this vital data can undergo normalization in the manner described above using corrective terms.
  • the corrected values are compared to universal values, in particular threshold values to conclude on diagnostic information.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Pulmonology (AREA)
  • Epidemiology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Primary Health Care (AREA)
  • Evolutionary Computation (AREA)
  • Signal Processing (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Psychiatry (AREA)
  • Fuzzy Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention relates to a system (1) for detecting a disease in a person, in particular a contagious disease such as COVID 19, this detection system comprising: a device (7) for acquiring examination data of the person, this acquisition device comprising, in particular, at least one physiological measurement sensor such as a radar; and, a thermal camera for acquiring these examination data; a data processing device (3) for receiving these examination data obtained by the acquisition device, this data processing device (3) being designed to generate a corrected value, or also referred to as normalised value, obtained from at least one examination datum measured by the acquisition device (7) and corrected by a corrective term from a correction table.

Description

SYSTÈME DE DÉTECTION D’UNE MALADIE DISEASE DETECTION SYSTEM
[1 ] La présente invention se rapporte à un système de détection d’une maladie sur une personne, notamment une maladie contagieuse telle une maladie de détresse respiratoire aiguë comme le COVID 19. [1] The present invention relates to a system for detecting a disease on a person, in particular a contagious disease such as an acute respiratory distress disease such as COVID 19.
[2] La détection des malades potentiels du COVID 19 est aujourd'hui réalisée par la prise de température, d'examens cliniques complémentaires, puis par un test COVID 19 qui possède encore un niveau de confiance relativement faible. Un scanner pulmonaire peut avec un bon niveau de précision confirmer la gravité de la maladie. [2] The detection of potential COVID 19 patients is now carried out by taking the temperature, additional clinical examinations, then by a COVID 19 test which still has a relatively low level of confidence. A chest scan can with a good level of accuracy confirm the severity of the disease.
[3] Il existe un besoin important de pouvoir détecter rapidement, notamment grâce à des moyens mobiles, les malades potentiels de maladie contagieuse, par exemple la maladie liée au COVID 19. [3] There is a significant need to be able to quickly detect, in particular using mobile means, potential patients with a contagious disease, for example the disease linked to COVID 19.
[4] L’invention a ainsi pour objet un système de détection d’une maladie sur une personne, notamment une maladie contagieuse telle que le COVID 19, ce système de détection comportant: [4] The subject of the invention is thus a system for detecting a disease on a person, in particular a contagious disease such as COVID 19, this detection system comprising:
[5] - un dispositif d’acquisition de données d’examen sur la personne, ce dispositif d’acquisition comportant notamment au moins un capteur de mesure physiologique tel qu’un radar, et une caméra thermique pour acquérir ces données d’examen, [5] - a device for acquiring examination data on the person, this acquisition device comprising in particular at least one physiological measurement sensor such as a radar, and a thermal camera for acquiring this examination data,
[6] - un dispositif de traitement de données agencé pour recevoir ces données d’examen obtenues par le dispositif d’acquisition, [6] - a data processing device arranged to receive these examination data obtained by the acquisition device,
[7] - un dispositif d’affichage agencé pour afficher une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, cette information de diagnostic pouvant être représentative d’un niveau de probabilité que la personne soit atteinte de la maladie. [7] - a display device arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person is suffering from the disease .
[8] Selon l’un des aspects de l’invention, le dispositif de traitement de données comporte une unité d’intelligence artificielle agencée pour traiter les données d’examen obtenues par le dispositif d’acquisition et fournir ladite information de diagnostic. [9] Selon l’un des aspects de l’invention, le dispositif de traitement de données et le dispositif d’affichage font partie d’un même appareil, par exemple un ordinateur, notamment un ordinateur portable. [8] According to one of the aspects of the invention, the data processing device comprises an artificial intelligence unit arranged to process the examination data obtained by the acquisition device and to supply said diagnostic information. [9] According to one of the aspects of the invention, the data processing device and the display device are part of the same device, for example a computer, in particular a laptop computer.
[10] Dans ce cas, le dispositif d’affichage est un écran de l’ordinateur portable et le dispositif de traitement de données comprend microprocesseur de cet ordinateur. [10] In this case, the display device is a laptop computer screen and the data processing device includes this computer's microprocessor.
[1 1 ] Dans une variante, le dispositif d’affichage est agencé pour être visible de la personne examinée, et notamment le dispositif d’affichage, qui comprend notamment un écran, est distant du dispositif de traitement de données, ces dispositif d’affichage et de traitement de données étant par exemple reliés entre eux par une liaison sans fil, par exemple par un protocole de communication 3G, 4G ou 5G, ou par le réseau Internet, ou Wifi par exemple. [1 1] In a variant, the display device is arranged to be visible to the examined person, and in particular the display device, which notably comprises a screen, is remote from the data processing device, these display and data processing being for example interconnected by a wireless link, for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
[12] Selon l’un des aspects de l’invention, le dispositif d’affichage, et éventuellement également le dispositif de traitement de données, sont agencées pour être embarqués sur un véhicule automobile. [12] According to one of the aspects of the invention, the display device, and possibly also the data processing device, are arranged to be embedded in a motor vehicle.
[13] En variante, le dispositif d’affichage, et éventuellement également le dispositif de traitement de données, sont agencés pour être placés de manière fixe, dans un bâtiment ou une cour extérieure par exemple. [13] As a variant, the display device, and possibly also the data processing device, are arranged to be placed in a fixed manner, in a building or an outdoor courtyard for example.
[14] Selon l’un des aspects de l’invention, le dispositif de traitement est agencé pour faire le diagnostic de manière automatique, sans une intervention humaine. [14] According to one of the aspects of the invention, the processing device is arranged to make the diagnosis automatically, without human intervention.
[15] Du fait d’un traitement automatique, l’invention permet un diagnostic rapide et/ou un dépistage massif permettant un retour au travail ou un déconfinement plus rapide. [15] Due to automatic processing, the invention allows rapid diagnosis and/or massive screening allowing a return to work or faster deconfinement.
[16] Selon l’un des aspects de l’invention, le dispositif d’acquisition de données d’examen est agencé pour permettre des mesures sans contact et à distance de sécurité, de signaux vitaux et d'imagerie thermique et visible sur la personne à examiner. [16] According to one of the aspects of the invention, the examination data acquisition device is arranged to allow non-contact and safety distance measurements of vital signals and thermal and visible imaging on the person to examine.
[17] Le système selon l’invention utilise ainsi avantageusement la fusion de mesures sans contact et à distance de sécurité, de signaux vitaux et d'imagerie thermique et visible. [18] Selon l’un des aspects de l’invention, l’unité d’intelligence artificielle est agencée pour utiliser un modèle de diagnostic basé sur l'intelligence artificielle et nourri par un nombre raisonnable de mesures cliniques. [17] The system according to the invention thus advantageously uses the fusion of measurements without contact and at a safety distance, of vital signals and of thermal and visible imaging. [18] According to one of the aspects of the invention, the artificial intelligence unit is arranged to use a diagnostic model based on artificial intelligence and fed by a reasonable number of clinical measurements.
[19] L’invention, du fait d’un équipement relativement léger, permet notamment un déploiement facilité d’hôpitaux de campagne en soutien aux populations. [19] The invention, due to relatively light equipment, notably allows easy deployment of field hospitals in support of populations.
[20] L’invention permet de réalisation des diagnostics de manière mobile. Sa mise en place, par exemple à l’aide d’une caméra thermique, un capteur de mesure physiologique tel qu’un radar et un ordinateur personnel portable, est facile. L’invention permet son implantation rapide sur tout un territoire. [20] The invention allows diagnostics to be carried out in a mobile manner. Its implementation, for example using a thermal camera, a physiological measurement sensor such as a radar and a portable personal computer, is easy. The invention allows its rapid implementation throughout a territory.
[21 ] Selon l’un des aspects de l’invention, le dispositif d’acquisition comprend un radar pour acquérir des données relatives aux signes vitaux de la personne, une caméra thermique pour les mesures de température fournissant des données de température, et une caméra fonctionnant dans le spectre visible pour la caractérisation de la personne testée fournissant des données caractérisation de la personne. [21] According to one of the aspects of the invention, the acquisition device comprises a radar for acquiring data relating to the vital signs of the person, a thermal camera for temperature measurements providing temperature data, and a camera operating in the visible spectrum for the characterization of the person tested providing data characterization of the person.
[22] Selon l’un des aspects de l’invention, le dispositif de traitement de données est agencé pour faire tourner un algorithme de diagnostic basé sur une fusion des données vitales, notamment un rythme respiratoire, une amplitude de respiration, un temps d'inspiration et d'expiration, un rythme et arythmie cardiaque. [22] According to one of the aspects of the invention, the data processing device is arranged to run a diagnostic algorithm based on a fusion of vital data, in particular a respiratory rate, an amplitude of respiration, a time of inspiration and expiration, heart rhythm and arrhythmia.
[23] Selon l’un des aspects de l’invention, l’algorithme utilise des températures mesurées sur des zones remarquables, localisées par traitement de l'image, ou encore le taux d’oxygène lié à la personne examinée. [23] According to one of the aspects of the invention, the algorithm uses temperatures measured on remarkable areas, located by image processing, or even the oxygen level linked to the person examined.
[24] De préférence, ces zones remarquables de mesure de température sont localisées à l’intérieur de la bouche, sur le bout du nez, sur les pommettes et la paume de la main. [24] Preferably, these remarkable temperature measurement zones are located inside the mouth, on the tip of the nose, on the cheekbones and the palm of the hand.
[25] Selon l’un des aspects de l’invention, l’algorithme de diagnostic utilise une caractérisation de la personne, telles que des données d’âge, de genre, d’habillage, de taille, d’indice de masse corporelle, encore appelé BMI. [25] According to one of the aspects of the invention, the diagnostic algorithm uses a characterization of the person, such as data on age, gender, clothing, height, body mass index , also called BMI.
[26] Selon l’un des aspects de l’invention, le système est agencé pour réaliser l’acquisition de données d’examen jusqu’à la mise à disposition de l’information de diagnostic dans un laps de temps compris notamment entre 30 et 120 secondes. [27] Selon l’un des aspects de l’invention, le système est agencé pour permettre une acquisition des données d’examen en faisant des mesures à une distance de 60 cm à 2 m entre le dispositif d’acquisition et la personne. On évite que la personne n’ait à être en contact avec le dispositif d’acquisition. [26] According to one of the aspects of the invention, the system is arranged to carry out the acquisition of examination data until the provision of the diagnostic information in a period of time comprised in particular between 30 and 120 seconds. [27] According to one of the aspects of the invention, the system is arranged to allow acquisition of examination data by taking measurements at a distance of 60 cm to 2 m between the acquisition device and the person. It is avoided that the person has to be in contact with the acquisition device.
[28] L’invention permet ainsi un diagnostic rapide sans délai d’acheminement additionnel vers un médecin par exemple. Les informations de diagnostic peuvent, le cas échéant, être envoyés automatiquement à un médecin et peuvent être conservés sur un système de stockage de données de type Cloud. [28] The invention thus allows rapid diagnosis without additional delay in getting to a doctor, for example. Diagnostic information can, if necessary, be automatically sent to a doctor and can be kept on a cloud-type data storage system.
[29] Selon l’un des aspects de l’invention, le dispositif de traitement de données utilise un algorithme d’analyse des données d’examen acquises et, le cas échéant, de tri des personnes dans le but de détecter les cas de personnes malades, en se basant sur l'ensemble des données collectées et une intelligence artificielle dont le premier niveau d'apprentissage est réalisé sur un échantillon en milieu hospitalier. [29] According to one of the aspects of the invention, the data processing device uses an algorithm for analyzing the acquired examination data and, if necessary, for sorting people with the aim of detecting cases of sick people, based on all the data collected and an artificial intelligence whose first level of learning is carried out on a sample in a hospital environment.
[30] Cet apprentissage par l’intelligence artificielle peut être réalisée au moyen d'un set de mesures collecté par le système mais aussi au moyen du suivi médical des patients. Ceci permet l'amélioration du modèle au cours du temps. [30] This learning by artificial intelligence can be carried out by means of a set of measurements collected by the system but also by means of the medical follow-up of patients. This allows the improvement of the model over time.
[31 ] Selon l’un des aspects de l’invention, les mesures réalisées par le dispositif d’acquisition peuvent servir pour affiner ultérieurement le diagnostic fait par l’intelligence artificielle. [31 ] According to one of the aspects of the invention, the measurements made by the acquisition device can be used to subsequently refine the diagnosis made by the artificial intelligence.
[32] Grâce à l’invention, la pose d’un diagnostic peut se faire sans contact avec la personne, ce qui limite les risques de contamination, ce qui est particulièrement avantageux par exemple dans le cas d’une pandémie telle que celle liée au COVID 19. [32] Thanks to the invention, a diagnosis can be made without contact with the person, which limits the risks of contamination, which is particularly advantageous, for example, in the case of a pandemic such as that linked to COVID 19.
[33] Selon l’un des aspects de l’invention, les données d’examen mesurées comprennent au moins l’une des données suivantes : des températures mesurées en différents points du corps de la personne à examiner, une caractéristique respiratoire ou cardiaque. [33] According to one of the aspects of the invention, the measured examination data includes at least one of the following data: temperatures measured at different points of the body of the person to be examined, a respiratory or cardiac characteristic.
[34] Selon l’un des aspects de l’invention, le dispositif d’acquisition est agencé pour acquérir des données d’examen comprenant une température extérieure, une température mesurée sur une pommette de la personne, une température mesurée sur le bout du nez de la personne, et également le cas échéant, une température maximale du visage et une température d’un vêtement ou d’une surface à température contrôlée de référence. [34] According to one of the aspects of the invention, the acquisition device is arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also, where appropriate, a maximum face temperature and a reference temperature-controlled garment or surface temperature.
[35] Selon l’un des aspects de l’invention, les points remarquables de mesure sont localisés par une intelligence artificielle au moyen d’un organigramme d’identification d’objet. [35] According to one of the aspects of the invention, the remarkable measurement points are located by an artificial intelligence by means of an object identification flowchart.
[36] Selon l’un des aspects de l’invention, la température relative à un point remarquable est obtenue par moyenne temporelle et par moyenne des températures d’une surface définie par des pixels issu d’une image de caméra infrarouge à proximité du point remarquable identifié sur l’image visible au moyen d’un algorithme d’identification d’objets. [36] According to one of the aspects of the invention, the temperature relative to a remarkable point is obtained by time average and by average of the temperatures of a surface defined by pixels taken from an infrared camera image near the remarkable point identified on the visible image by means of an object identification algorithm.
[37] Selon l’un des aspects de l’invention, l’identification des caractérisations personnelles se fait au moyen des caméras Rouge Vert Bleu (ou caméra RGB) ou Infrarouge lointain (caméra FIR) en complément d’une lecture d’identité de la personne, grâce à un système de classification dont l’apprentissage peut être réalisé sur des images RGB (Rouge Vert Bleu) ou Infrarouge. L’utilisation d’un plus grand nombre de paramètres, notamment l’âge, le genre, la taille, l’indice de masse corporelle, le phénotype par exemple, sert à améliorer les modèles de diagnostic. [37] According to one of the aspects of the invention, the identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera) or Far Infrared (FIR camera) in addition to an identity reading of the person, thanks to a classification system which can be learned on RGB (Red Green Blue) or Infrared images. The use of more parameters, including age, gender, height, body mass index, phenotype for example, serves to improve diagnostic models.
[38] Selon l’un des aspects de l’invention, le modèle de diagnostic, ou algorithme de diagnostic, qui est nourri de plus de données telles que des températures remarquables du corps, une température ambiante, une classe de caractéristiques personnelles, une heure du jour, peut être agencé pour en plus utiliser des données de parcours de la personne examinée pour vérifier si elle a croisé une personne malade ou est passée par une région à risque. [38] According to one of the aspects of the invention, the diagnostic model, or diagnostic algorithm, which is fed with more data such as remarkable body temperatures, ambient temperature, a class of personal characteristics, a time of day, can be arranged to additionally use route data of the examined person to check whether he has come across a sick person or has passed through a region at risk.
[39] Selon l’un des aspects de l’invention, le système est agencé pour fonctionner en l’absence d’un radar et en utilisant les caméras RGB pour estimer les paramètres cardiaques et respiratoires. [39] According to one of the aspects of the invention, the system is arranged to operate in the absence of a radar and using RGB cameras to estimate cardiac and respiratory parameters.
[40] Selon l’un des aspects de l’invention, la température relative à un point remarquable peut être obtenue par moyenne temporelle et par moyenne des températures d’une surface définie par des pixels issu d’une image de caméra à proximité du point remarquable. Le point remarquable est par exemple défini géométriquement au moyen d’une zone d’image appelée Building box, qui l’entoure, par exemple au moyen de la moyenne géométrique des côtés de la zone de l’image. Cette zone d’image est une surface délimitée par une série de points qui est construite par un algorithme d’identification d’objets. [40] According to one of the aspects of the invention, the temperature relative to a remarkable point can be obtained by time average and by average of the temperatures of a surface defined by pixels taken from a camera image near the remarkable point. The remarkable point is for example defined geometrically by means of an image zone called Building box, which surrounds it, for example by means of the geometric mean of the sides of the image area. This image area is a surface delimited by a series of points which is constructed by an object identification algorithm.
[41 ] Selon l’un des aspects de l’invention, le système est dépourvu de caméra RGB et/ou n’utilise pas la surface dont la température est contrôlée. Dans ce cas, le système utilise la température externe et un modèle de transfert thermique sur les zones habillées ou encore uniquement les écarts de températures entre les points remarquables. [41] According to one of the aspects of the invention, the system does not have an RGB camera and/or does not use the surface whose temperature is controlled. In this case, the system uses the external temperature and a heat transfer model on the covered areas or even only the temperature differences between the remarkable points.
[42] Selon l’un des aspects de l’invention, le système est agencé pour utiliser une fusion de mesures sans contact, notamment de signaux vitaux et d'imagerie thermique et visible. [42] According to one of the aspects of the invention, the system is arranged to use a fusion of non-contact measurements, in particular of vital signals and thermal and visible imaging.
[43] L’information de diagnostic est comporte une classe choisie parmi trois classes prédéterminées qui sont « Personne saine », « Personne avec une suspicion de maladie >>, « Personne avec une forte probabilité de maladie >>. [43] The diagnostic information is comprised of a class chosen from three predetermined classes which are "Healthy person", "Person with a suspicion of disease", "Person with a high probability of disease".
[44] L’information de diagnostic peut également comporter une évaluation de la gravité de la maladie. [44] Diagnostic information may also include an assessment of disease severity.
[45] L’invention a également pour objet un procédé pour fournir une information de diagnostic pour la détection d’une maladie sur une personne, notamment une maladie contagieuse telle que le COVID 19, ce procédé comportant les étapes suivantes: [45] The invention also relates to a method for providing diagnostic information for the detection of a disease in a person, in particular a contagious disease such as COVID 19, this method comprising the following steps:
- acquérir des données d’examen sur la personne, à l’aide d’un dispositif d’acquisition comportant notamment au moins un capteur de mesure physiologique tel qu’un radar, et une caméra thermique pour acquérir ces données d’examen, - acquiring examination data on the person, using an acquisition device comprising in particular at least one physiological measurement sensor such as a radar, and a thermal camera to acquire this examination data,
- recevoir ces données d’examen obtenues par le dispositif d’acquisition,- receive this examination data obtained by the acquisition device,
- traiter ces données d’examen pour obtenir une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, - process this examination data to obtain diagnostic information for the disease based on an analysis of said examination data,
- afficher une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, cette information de diagnostic pouvant être représentative d’un niveau de probabilité que la personne soit atteinte de la maladie. [46] La présente invention peut permettre des contrôles dans l’espace public en général, notamment sur des voies de circulation des personnes, à des entrées et sorties des bâtiments, à des portail d'aéroport, dans des écoles. - displaying diagnostic information of the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person is suffering from the disease. [46] The present invention can allow controls in the public space in general, in particular on people's circulation routes, at entrances and exits of buildings, at airport gates, in schools.
[47] La présente permet également un suivi médical des personnes, par exemple pour des personnes malades en maintien à domicile. [47] This also allows medical follow-up of people, for example for sick people in home care.
[48] L’invention a encore pour objet de détection d’une maladie sur une personne, notamment une maladie contagieuse telle que le COVID 19, ce système de détection comportant: [48] The object of the invention is also to detect a disease on a person, in particular a contagious disease such as COVID 19, this detection system comprising:
- un dispositif d’acquisition de données d’examen sur la personne, ce dispositif d’acquisition comportant notamment au moins un capteur de mesure physiologique tel qu’un radar, et une caméra thermique pour acquérir ces données d’examen, - a device for acquiring examination data on the person, this acquisition device comprising in particular at least one sensor for physiological measurement such as a radar, and a thermal camera for acquiring this examination data,
- un dispositif de traitement de données agencé pour recevoir ces données d’examen obtenues par le dispositif d’acquisition, - a data processing device arranged to receive these examination data obtained by the acquisition device,
- ce dispositif de traitement de données étant agencé pour générer une valeur corrigée, ou encore appelée valeur normalisée, obtenue à partir d’au moins une donnée d’examen mesurée par le dispositif d’acquisition et corrigée par un terme correctif issu d’une table de correction. - this data processing device being arranged to generate a corrected value, or also called normalized value, obtained from at least one examination datum measured by the acquisition device and corrected by a corrective term from a patch table.
[49] Grâce à l’invention, il est possible d’effectuer des mesures par exemple au moyen d’une caméra, de thermocouples, d’un radar, d’un oxymètre, mesures qui sont traitées afin les normaliser en vue d’obtenir ladite valeur normalisée, et de les rendre comparables à des données de référence. [49] Thanks to the invention, it is possible to carry out measurements for example by means of a camera, thermocouples, a radar, an oximeter, measurements which are processed in order to standardize them with a view to obtaining said normalized value, and making them comparable to reference data.
[50] Notamment l’invention permet de corriger des erreurs de mesures de contexte et des variations entre individus, variations liées à leurs caractéristiques corporelles telles que l’âge, le genre et/ou la corpulence. [50] In particular, the invention makes it possible to correct errors in context measurements and variations between individuals, variations linked to their bodily characteristics such as age, gender and/or body size.
[51] Selon l’un des aspects de l’invention, la valeur normalisée peut comporter une composante encodée par défaut ou être une valeur encodée par défaut. [51] According to one of the aspects of the invention, the normalized value can comprise a component encoded by default or be a value encoded by default.
[52] Selon l’un des aspects de l’invention, un première terme correctif est liée à deux effets, un premier effet étant la correction liée à l’effet de la variation de la température de la pièce sur la caméra du dispositif d’acquisition, notamment sur la cellule de la caméra. On remarque en effet une dérive de la mesure lorsque la température de la caméra change Ceci est le cas lorsque la température de la pièce change car, en général, la mesure n’est pas absolue mais différentielle. La deuxième partie de cette correction dépend de l’impact de la température ambiante sur la physiologie de la personne testée. Lorsque la température de la pièce augmente, la température du la peau de cette personne change légèrement pour garder le corps dans des conditions de survie idéal. [52] According to one of the aspects of the invention, a first corrective term is linked to two effects, a first effect being the correction linked to the effect of the variation in the temperature of the room on the camera of the device. acquisition, in particular on the camera cell. In fact, we notice a drift in the measurement when the camera temperature changes This is the case when the room temperature changes because, in general, the measurement is not absolute but differential. The second part of this correction depends on the impact of ambient temperature on the physiology of the person being tested. When the room temperature rises, that person's skin temperature changes slightly to keep the body in ideal survival conditions.
[53] Selon l’un des aspects de l’invention, un deuxième terme correctif correspond à un changement de référence de la zone de la personne à tester. [53] According to one of the aspects of the invention, a second corrective term corresponds to a change of reference of the zone of the person to be tested.
[54] Selon l’un des aspects de l’invention, le troisième terme correspondant à une correction liée à l’âge de la personne testée. [54] According to one aspect of the invention, the third term corresponds to a correction linked to the age of the person tested.
[55] Selon l’un des aspects de l’invention, le quatrième terme correctif correspond à une correction liée au genre de la personne. [55] According to one aspect of the invention, the fourth corrective term corresponds to a correction linked to the gender of the person.
[56] Selon l’un des aspects de l’invention, le cinquième terme correctif correspond à un niveau d’habillement de la personne testée. [56] According to one of the aspects of the invention, the fifth corrective term corresponds to a clothing level of the person tested.
[57] Selon l’un des aspects de l’invention, le sixième terme correctif correspond à l’observation que la température d’une personne fluctue naturellement en fonction du moment de la journée. C’est le cycle circadien. On normalise la température de la personne à une heure de référence, par exemple 6 heures du matin. [57] According to one aspect of the invention, the sixth corrective term corresponds to the observation that a person's temperature naturally fluctuates according to the time of day. This is the circadian cycle. The temperature of the person is normalized at a reference time, for example 6 o'clock in the morning.
[58] Selon l’un des aspects de l’invention, d’autres termes correctifs dépendent respectivement de l’indice de masse corporelle BMI et de la forme physique de la personne. [58] According to one of the aspects of the invention, other corrective terms depend respectively on the body mass index BMI and the physical form of the person.
[59] Selon l’un des aspects de l’invention, le dispositif de traitement est agencé pour traiter des données d’examen obtenues par exemple à l’aide d’une caméra, de thermocouples, d’un radar, d’un oxymètre du dispositif d’acquisition, afin de les normaliser en vue d’obtenir ladite valeur normalisée, et de les rendre comparables à une ou des valeurs universelles. [59] According to one of the aspects of the invention, the processing device is arranged to process examination data obtained for example using a camera, thermocouples, radar, oximeter of the acquisition device, in order to normalize them with a view to obtaining said normalized value, and to make them comparable to one or more universal values.
[60] De préférence une valeur universelle correspond à une valeur obtenue à l’aide de caractéristiques synthétiques d'une personne fictive de référence. Ces caractéristiques sont de préférence des valeurs moyennes, mesurées notamment sur une population de référence par exemple des femmes de 25 à 35 ans, de BMI de 25, habitant en Europe du nord. On appelle une telle personne fictive de référence un Persona. [60] Preferably, a universal value corresponds to a value obtained using synthetic characteristics of a fictitious reference person. These characteristics are preferably average values, measured in particular on a reference population, for example women aged 25 to 35. years old, BMI of 25, living in Northern Europe. Such a fictitious reference person is called a Persona.
[61] Selon l’un des aspects de l’invention, le dispositif d’acquisition comporte un radar pour acquérir au moins une donnée relative à un signe vital d’une personne, un ou deux caméras thermiques pour acquérir des données de température et une caméra opérant dans le domaine de la lumière visible pour acquérir une donnée de caractérisation d’une personne testée. [61] According to one of the aspects of the invention, the acquisition device comprises a radar to acquire at least one data relating to a vital sign of a person, one or two thermal cameras to acquire temperature data and a camera operating in the visible light range to acquire characterization data of a tested person.
[62] Selon l’un des aspects de l’invention, le dispositif d’acquisition comporte en outre une caméra NIR, capable d’opérer dans le proche infrarouge, avec un illuminateur, cette caméra étant agencé pour acquérir une donnée de température ambiante, de luminosité ambiante et de l’heure de la journée. [62] According to one of the aspects of the invention, the acquisition device further comprises an NIR camera, capable of operating in the near infrared, with an illuminator, this camera being arranged to acquire ambient temperature data , ambient light and time of day.
[63] Selon l’un des aspects de l’invention, le dispositif d’acquisition comporte en outre une caméra NIR, capable d’opérer dans le proche infrarouge, agencée pour réaliser une mesure d’oxymétrie et de caractéristiques respiratoires de la personne testée. [63] According to one of the aspects of the invention, the acquisition device further comprises an NIR camera, capable of operating in the near infrared, arranged to measure the person's oximetry and respiratory characteristics. tested.
[64] Selon l’un des aspects de l’invention, les données d’examen acquises par le dispositif d’acquisition sont choisies parmi : une caractéristique d’une température relative à une personne testée, une caractéristique cardiaque, respiratoire ou circulatoire du sang de la personne testée. [64] According to one of the aspects of the invention, the examination data acquired by the acquisition device are chosen from: a characteristic of a temperature relating to a person tested, a cardiac, respiratory or circulatory characteristic of the blood of the person being tested.
[65] Selon l’un des aspects de l’invention, le dispositif de traitement comporte une mémoire de valeurs universelles auxquelles sont comparées les valeurs corrigées issues des données d’examen acquises par le dispositif d’acquisition. [65] According to one of the aspects of the invention, the processing device comprises a memory of universal values to which are compared the corrected values resulting from the examination data acquired by the acquisition device.
[66] Selon l’un des aspects de l’invention, les valeurs corrigées ont subi une correction basée sur la prise en compte d’erreurs de mesures de contexte et/ou de variations entre individus, variations liées à leurs caractéristiques corporelles telles que l’âge, le genre et la corpulence. [66] According to one of the aspects of the invention, the corrected values underwent a correction based on taking into account context measurement errors and/or variations between individuals, variations linked to their bodily characteristics such as age, gender and build.
[67] Selon l’un des aspects de l’invention, ces caméras et radar sont notamment embarqués dans un véhicule. [67] According to one of the aspects of the invention, these cameras and radar are in particular embedded in a vehicle.
[68] Selon l’un des aspects de l’invention, le dispositif de traitement de données (3) est agencé pour réaliser une fusion de données issues d’acquisition de données des caméra et radar précités, ces données comprenant notamment des données relatives aux signes vitaux, aux données de température et aux données de caractérisation de la personne testée, aux données de température ambiante, de la luminosité ambiante et de l’heure de la journée. [68] According to one of the aspects of the invention, the data processing device (3) is arranged to carry out a fusion of data resulting from the acquisition of data from the aforementioned cameras and radars, these data comprising in particular data relating to vital signs, temperature data and characterization data of the person tested, ambient temperature data, ambient light and time of day.
[69] Selon l’un des aspects de l’invention, le dispositif de traitement de données est agencé pour réaliser, à l’aide d’un algorithme, un diagnostic basé sur une fusion de données vitales incluant notamment un rythme respiratoire, une amplitude respiratoire, un temps d'inspiration et d'expiration, un rythme et arythmie cardiaque. [69] According to one of the aspects of the invention, the data processing device is arranged to carry out, using an algorithm, a diagnosis based on a fusion of vital data including in particular a respiratory rhythm, a respiratory amplitude, inspiration and expiration time, cardiac rhythm and arrhythmia.
[70] Selon l’un des aspects de l’invention, la fusion de donnée pour effectuer le diagnostic inclut également une donnée d’une mesure indirecte de l’oxymétrie, des données de températures mesurées sur des zones remarquables de la personne testée, zones notamment localisées par un traitement de l'image, ces zones étant par exemple l’intérieur de la bouche, le bout du nez, les pommettes et/ou la paume de la main de la personne testée, une donnée de caractérisation de la personne telle que l’âge, le genre, l’habillage, un indice de masse corporelle BMI, le génotype, et des données ambiantes telles que la température ambiante. [70] According to one of the aspects of the invention, the fusion of data to perform the diagnosis also includes data from an indirect oximetry measurement, temperature data measured on remarkable areas of the person tested, areas located in particular by image processing, these areas being for example the inside of the mouth, the tip of the nose, the cheekbones and/or the palm of the hand of the person tested, characterization data of the person such as age, gender, dress, BMI body mass index, genotype, and environmental data such as ambient temperature.
[71 ] Selon l’un des aspects de l’invention, le système comporte un dispositif d’affichage agencé pour afficher une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, cette information de diagnostic pouvant être représentative d’un niveau de probabilité que la personne soit atteinte de la maladie. [71] According to one of the aspects of the invention, the system comprises a display device arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information possibly being representative of a level of probability that the person has the disease.
[72] La donnée d’oxymétrie de la personne testée est notamment fonction d’une variation relative des valeurs obtenues par exemple par les deux cameras NIR et FIR entre deux états d’éclairage avec l’illuminateur et repérant les points remarquables prédéfinis ou appris grâce à la caméra opérant dans le domaine de la lumière visible et un modèle d’identification d’objet défini par apprentissage. Il s’agit, pour le dispositif de traitement, de poser un maillage virtuel sur le visage de la personne testée et de suivre les noeuds qui définissent ce maillage. Les deux caméras NIR et FIR produisent des images différentes et qui varient lorsque les longueurs d’onde de la lumière incidente changent et a fortiori lorsque l’illuminateur émet des lumières artificielles non visibles différentes. La comparaison des valeurs lues sur les caméras FIR et NIR avec et sans illumination permet d’identifier l’oxygénation de la personne testée. Pour améliorer la précision, l’illumination peut se faire à plusieurs longueurs d’onde car l’absorption et la réflexion de la peau de la personne testée dépend du taux d’oxygénation de la personne testée ou des composants des globules rouges. L’invention se propose notamment ainsi de comparer les valeurs entre les différents points du visage pour compléter cette évaluation. Cette comparaison permet aussi d’évaluer des problèmes de circulation et potentiellement des problèmes de peau. La résolution du maillage facial peut être large ou plus fin en fonction de la précision attendue ou du diagnostic à faire. [72] The oximetry data of the person tested is in particular a function of a relative variation of the values obtained for example by the two NIR and FIR cameras between two lighting states with the illuminator and identifying the predefined or learned remarkable points thanks to the camera operating in the visible light domain and an object identification model defined by learning. For the processing device, this involves placing a virtual mesh on the face of the person tested and following the nodes which define this mesh. The two NIR and FIR cameras produce different images which vary when the wavelengths of the incident light change and a fortiori when the illuminator emits different non-visible artificial lights. The comparison of the values read on the FIR and NIR cameras with and without illumination helps identify the oxygenation of the person being tested. To improve accuracy, illumination can be at multiple wavelengths because absorption and reflection from the test person's skin depends on the test person's oxygenation level or red blood cell components. The invention thus proposes in particular to compare the values between the different points of the face in order to complete this evaluation. This comparison also makes it possible to assess circulation problems and potentially skin problems. The resolution of the facial mesh can be large or finer depending on the expected accuracy or the diagnosis to be made.
[73] L’invention propose ainsi l’ajout de l’évaluation du l’oxygénation dans le sang pour mesure comparative entre caméra(s) thermique(s) en présence ou non d’une ou plusieurs illuminations à des spectres différents ou centrés sur des longueurs d’onde différentes, ou par identification du métabolisme en étudiant la différence de comportement de plusieurs points remarquables (nez, pommette, main, front, bouche, œil,.) [73] The invention thus proposes the addition of the evaluation of oxygenation in the blood for comparative measurement between thermal camera(s) in the presence or absence of one or more illuminations with different or centered spectra on different wavelengths, or by identification of the metabolism by studying the difference in behavior of several remarkable points (nose, cheekbone, hand, forehead, mouth, eye, etc.)
[74] Selon l’un des aspects de l’invention, le dispositif de traitement est agencé pour effectuer une correction en tenant compte du cycle circadien et de la température ambiante pour les valeurs de seuil, optionnellement aussi pour corriger des dérives de mesures des caméras NIR et FIR ainsi que d’un éventuel radar. [74] According to one of the aspects of the invention, the processing device is arranged to perform a correction taking into account the circadian cycle and the ambient temperature for the threshold values, optionally also to correct drifts in the measurements of the NIR and FIR cameras as well as a possible radar.
[75] L’invention et ses différentes applications seront mieux comprises à la lecture de la description qui suit et à l’examen des figures qui l’accompagnent : [75] The invention and its various applications will be better understood on reading the following description and examining the accompanying figures:
[76] la [Fig. 1] illustre schématiquement un système selon un mode de réalisation non limitatif de l’invention. [76] the [Fig. 1] schematically illustrates a system according to a non-limiting embodiment of the invention.
[77] la [Fig. 2] illustre un schéma blocs illustrant les étapes mises en œuvre dans le système de la figure 1 , [77] the [Fig. 2] illustrates a block diagram illustrating the steps implemented in the system of Figure 1,
[78] On a représenté sur les Figures 1 et 2 un système 1 de détection d’une maladie sur une personne, notamment une maladie contagieuse telle que le COVID 19, selon l’invention. [78] Figures 1 and 2 show a system 1 for detecting a disease on a person, in particular a contagious disease such as COVID 19, according to the invention.
[79] Ce système 1 comporte: un dispositif d’acquisition 7 de données d’examen sur la personne, - un dispositif de traitement de données 3 agencé pour recevoir ces données d’examen obtenues par le dispositif d’acquisition 7, [79] This system 1 comprises: a device 7 for acquiring examination data on the person, - a data processing device 3 arranged to receive these examination data obtained by the acquisition device 7,
- un dispositif d’affichage 30 agencé pour afficher une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, cette information de diagnostic pouvant être représentative d’un niveau de probabilité que la personne soit atteinte de la maladie. - a display device 30 arranged to display diagnostic information of the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person has the disease.
[80] Ce système 1 comporte en particulier : [80] This system 1 includes in particular:
- un capteur de l’activité cardiaque d’au moins un passager, ici le rythme cardiaque, ce capteur étant une caméra fonctionnant dans le proche infrarouge, - a sensor of the cardiac activity of at least one passenger, here the heart rate, this sensor being a camera operating in the near infrared,
- un capteur de l’activité respiratoire, notamment en fréquence et/ou en amplitude respiratoire, d’au moins un passager, ce capteur étant une caméra fonctionnant dans l’infrarouge lointain, ou caméra thermique, - a respiratory activity sensor, in particular in frequency and/or respiratory amplitude, of at least one passenger, this sensor being a camera operating in the far infrared, or thermal camera,
- un radar agencé pour mesurer des signes vitaux de la personne, - a radar arranged to measure the person's vital signs,
- un capteur des caractéristiques de profil du passager, notamment son genre, poids, taille et âge, ce capteur étant ici une caméra Rouge Vert Bleu, encore appelée caméra RGB en anglais, - a sensor of the passenger's profile characteristics, in particular his gender, weight, height and age, this sensor being here a Red Green Blue camera, also called RGB camera in English,
- un lecteur de carte pour lire une carte d’identité de la personne et obtenir des données personnelles de la personne. - a card reader to read a person's identity card and obtain the person's personal data.
[81 ] Ces capteurs et caméras, qui font partie du dispositif d’acquisition 7, sont représentés par la référence 2 sur la figure 1 . Certains capteurs 2 sont par exemple disposés sur un plafond du véhicule. L’une des autres caméras 2 est disposée dans un montant latéral 6 du véhicule V. [81] These sensors and cameras, which are part of the acquisition device 7, are represented by reference 2 in Figure 1. Some sensors 2 are for example arranged on a ceiling of the vehicle. One of the other cameras 2 is arranged in a side upright 6 of the vehicle V.
[82] Le capteur rythme cardiaque et respiration peut être dans le dossier du siège ou dans la console centrale au niveau de la cuisse du passager, ceci étant no limitatif. [82] The heart rate and respiration sensor may be in the seat back or in the center console at the level of the passenger's thigh, this being non-limiting.
[83] Ces capteurs 2 sont reliés pour échanges d’informations avec un dispositif de traitement de données 3 placée sur le véhicule V. [84] Le dispositif de traitement de données 3 comporte une unité d’intelligence artificielle agencée pour traiter les données d’examen obtenues par le dispositif d’acquisition 7 et fournir ladite information de diagnostic. [83] These sensors 2 are connected for exchange of information with a data processing device 3 placed on the vehicle V. [84] The data processing device 3 comprises an artificial intelligence unit arranged to process the examination data obtained by the acquisition device 7 and supply said diagnostic information.
[85] Le dispositif de traitement de données 3 et le dispositif d’affichage 30 font partie d’un même appareil, par exemple un ordinateur, notamment un ordinateur portable. [85] The data processing device 3 and the display device 30 are part of the same device, for example a computer, in particular a laptop computer.
[86] Dans ce cas, le dispositif d’affichage 30 est un écran de l’ordinateur portable et le dispositif de traitement de données comprend microprocesseur de cet ordinateur. [86] In this case, the display device 30 is a screen of the laptop computer and the data processing device includes this computer's microprocessor.
[87] Le dispositif d’affichage 30 est agencé pour être visible de la personne examinée, et notamment le dispositif d’affichage, qui comprend notamment un écran, est distant du dispositif de traitement de données, ces dispositif d’affichage et de traitement de données étant par exemple reliés entre eux par une liaison sans fil, par exemple par un protocole de communication 3G, 4G ou 5G, ou par le réseau Internet, ou Wifi par exemple. [87] The display device 30 is arranged to be visible to the person examined, and in particular the display device, which notably comprises a screen, is remote from the data processing device, these display and processing devices data being for example interconnected by a wireless link, for example by a 3G, 4G or 5G communication protocol, or by the Internet network, or Wifi for example.
[88] Le dispositif d’affichage 30, et également le dispositif de traitement de données 3, sont ici agencées pour être embarqués sur un véhicule automobile. [88] The display device 30, and also the data processing device 3, are here arranged to be embedded in a motor vehicle.
[89] En variante, le dispositif d’affichage 30, et éventuellement également le dispositif de traitement de données 3, sont agencés pour être placés de manière fixe, dans un bâtiment ou une cour extérieure par exemple. [89] As a variant, the display device 30, and possibly also the data processing device 3, are arranged to be placed in a fixed manner, in a building or an outdoor courtyard for example.
[90] Le dispositif de traitement 3 est agencé pour faire le diagnostic de manière automatique, sans une intervention humaine. [90] The processing device 3 is arranged to make the diagnosis automatically, without human intervention.
[91 ] Le dispositif d’acquisition 7 de données d’examen est agencé pour permettre des mesures sans contact et à distance de sécurité, de signaux vitaux et d'imagerie thermique et visible sur la personne à examiner. [91] The examination data acquisition device 7 is arranged to allow non-contact and safety distance measurements of vital signals and thermal and visible imaging on the person to be examined.
[92] Le système selon l’invention utilise ainsi avantageusement la fusion de mesures sans contact et à distance de sécurité, de signaux vitaux et d'imagerie thermique et visible. [92] The system according to the invention thus advantageously uses the fusion of measurements without contact and at a safe distance, vital signals and thermal and visible imaging.
[93] L’unité d’intelligence artificielle est agencée pour utiliser un modèle de diagnostic basé sur l'intelligence artificielle et nourri par un nombre raisonnable de mesures cliniques. [94] L’invention permet de réalisation des diagnostics de manière mobile. Sa mise en place, par exemple à l’aide d’une caméra thermique, un capteur de mesure physiologique tel qu’un radar et un ordinateur personnel portable, est facile. [93] The artificial intelligence unit is arranged to use a diagnostic model based on artificial intelligence and fed by a reasonable number of clinical measures. [94] The invention allows diagnostics to be carried out in a mobile manner. Its implementation, for example using a thermal camera, a physiological measurement sensor such as a radar and a portable personal computer, is easy.
[95] Le dispositif d’acquisition 7 comprend un radar pour acquérir des données relatives aux signes vitaux de la personne, une caméra thermique pour les mesures de température fournissant des données de température, et une caméra fonctionnant dans le spectre visible pour la caractérisation de la personne testée fournissant des données caractérisation de la personne. [95] The acquisition device 7 comprises a radar to acquire data relating to the vital signs of the person, a thermal camera for temperature measurements providing temperature data, and a camera operating in the visible spectrum for the characterization of the person being tested providing data characterizing the person.
[96] Le dispositif de traitement de données 3 est agencé pour faire tourner un algorithme de diagnostic basé sur une fusion des données vitales, notamment un rythme respiratoire, une amplitude de respiration, un temps d'inspiration et d'expiration, un rythme et arythmie cardiaque, une oxymétrie. [96] The data processing device 3 is arranged to run a diagnostic algorithm based on a fusion of vital data, including breathing rate, breathing amplitude, inspiration and expiration time, rhythm and cardiac arrhythmia, oximetry.
[97] L’algorithme utilise des températures mesurées sur des zones remarquables, localisées par traitement de l'image. [97] The algorithm uses temperatures measured on remarkable areas, localized by image processing.
[98] De préférence, ces zones remarquables de mesure de température sont localisées à l’intérieur de la bouche, sur le bout du nez, sur les pommettes et la paume de la main. [98] Preferably, these remarkable temperature measurement zones are located inside the mouth, on the tip of the nose, on the cheekbones and the palm of the hand.
[99] L’algorithme de diagnostic utilise une caractérisation de la personne, telles que des données d’âge, de genre, d’habillage, de taille, d’indice de masse corporelle. [99] The diagnostic algorithm uses a characterization of the person, such as age, gender, dress, height, body mass index data.
[100] Le système est agencé pour réaliser l’acquisition de données d’examen jusqu’à la mise à disposition de l’information de diagnostic dans un laps de temps compris notamment entre 30 et 120 secondes. [100] The system is designed to carry out the acquisition of examination data until the provision of diagnostic information in a period of time comprised in particular between 30 and 120 seconds.
[101] L’invention permet ainsi un diagnostic rapide sans délai d’acheminement additionnel vers un médecin par exemple. Les informations de diagnostic peuvent, le cas échéant, être envoyés automatiquement à un médecin et peuvent être conservés sur un système de stockage de données 40 de type Cloud. [101] The invention thus allows rapid diagnosis without additional delay in getting to a doctor, for example. The diagnostic information can, if necessary, be sent automatically to a doctor and can be kept on a data storage system 40 of Cloud type.
[102] Le dispositif de traitement de données 3 utilise un algorithme d’analyse des données d’examen acquises et, le cas échéant, de tri des personnes dans le but de détecter les cas de personnes malades, en se basant sur l'ensemble des données collectées et une intelligence artificielle dont le premier niveau d'apprentissage est réalisé sur un échantillon en milieu hospitalier. [102] The data processing device 3 uses an algorithm for analyzing the acquired examination data and, if necessary, sorting people with the aim of detecting cases of sick people, based on the set from data collected and an artificial intelligence whose first level of learning is carried out on a sample in a hospital environment.
[103] Les mesures réalisées par le dispositif d’acquisition peuvent servir pour affiner ultérieurement le diagnostic fait par l’intelligence artificielle. [103] The measurements taken by the acquisition device can be used to later refine the diagnosis made by the artificial intelligence.
[104] Grâce à l’invention, la pose d’un diagnostic peut se faire sans contact avec la personne, ce qui limite les risques de contamination, ce qui est particulièrement avantageux par exemple dans le cas d’une pandémie telle que celle liée au COVID 19. [104] Thanks to the invention, a diagnosis can be made without contact with the person, which limits the risks of contamination, which is particularly advantageous, for example, in the case of a pandemic such as that linked to COVID 19.
[105] Selon l’un des aspects de l’invention, les données d’examen mesurées comprennent au moins l’une des données suivantes : des températures mesurées en différents points du corps de la personne à examiner, une caractéristique respiratoire ou cardiaque. [105] According to one of the aspects of the invention, the measured examination data includes at least one of the following data: temperatures measured at different points of the body of the person to be examined, a respiratory or cardiac characteristic.
[106] Le dispositif d’acquisition 7 est agencé pour acquérir des données d’examen comprenant une température extérieure, une température mesurée sur une pommette de la personne, une température mesurée sur le bout du nez de la personne, et également le cas échéant, une température maximale du visage et une température d’un vêtement ou d’une surface à température contrôlée de référence. [106] The acquisition device 7 is arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also, if necessary , a peak face temperature, and a reference temperature-controlled clothing or surface temperature.
[107] Les points remarquables de mesure sont localisés par une intelligence artificielle au moyen d’un organigramme d’identification d’objet. [107] The remarkable points of measurement are located by an artificial intelligence by means of an object identification flowchart.
[108] L’identification des caractérisations personnelles se fait au moyen des caméras Rouge Vert Bleu (ou caméra RGB) ou Infrarouge lointain (caméra FIR) en complément d’une lecture d’identité de la personne, grâce à un système de classification dont l’apprentissage peut être réalisé sur des images RGB (Rouge Vert Bleu) ou Infrarouge. L’utilisation d’un plus grand nombre de paramètres, notamment l’âge, le genre, la taille, l’indice de masse corporelle, le phénotype par exemple, sert à améliorer les modèles de diagnostic. [108] The identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera) or Far Infrared (FIR camera) in addition to a reading of the person's identity, thanks to a classification system whose learning can be performed on RGB (Red Green Blue) or Infrared images. The use of more parameters, including age, gender, height, body mass index, phenotype for example, serves to improve diagnostic models.
[109] Le modèle de diagnostic, ou algorithme de diagnostic, qui est nourri de plus de données telles que des températures remarquables du corps, une température ambiante, une classe de caractéristiques personnelles, une heure du jour, peut être agencé pour en plus utiliser des données de parcours de la personne examinée pour vérifier si elle a croisé une personne malade ou est passée par une région à risque. [109] The diagnostic model, or diagnostic algorithm, which is fed with more data such as remarkable body temperatures, ambient temperature, class of personal characteristics, time of day, can be arranged to additionally use person journey data examined to check whether it has crossed paths with a sick person or passed through a region at risk.
[1 10] La température relative à un point remarquable peut être obtenue par moyenne temporelle et par moyenne des températures d’une surface définie par des pixels issu d’une image de caméra à proximité du point remarquable. Le point remarquable est par exemple défini géométriquement au moyen d’une zone d’image appelée Building box, qui l’entoure. Cette zone d’image est une surface délimitée par une série de points qui est construite par un algorithme d’identification d’objets. [1 10] The temperature relative to a remarkable point can be obtained by temporal average and by average of the temperatures of a surface defined by pixels resulting from a camera image near the remarkable point. The remarkable point is for example defined geometrically by means of an image area called Building box, which surrounds it. This image area is a surface delimited by a series of points which is constructed by an object identification algorithm.
[1 1 1] L’information de diagnostic est comporte une classe choisie parmi trois classes prédéterminées qui sont « Personne saine », « Personne avec une suspicion de maladie >>, « Personne avec une forte probabilité de maladie >>. [1 1 1] The diagnostic information is comprised of a class chosen from three predetermined classes which are "Healthy person", "Person with a suspicion of disease", "Person with a high probability of disease".
[1 12] L’invention met ainsi en oeuvre les étapes suivantes: [1 12] The invention thus implements the following steps:
- acquérir des données d’examen sur la personne à l’aide du dispositif d’acquisition 7, qui sont les étapes 20 à 25 de la figure 2, - acquiring examination data on the person using the acquisition device 7, which are steps 20 to 25 in Figure 2,
- recevoir ces données d’examen obtenues par le dispositif d’acquisition,- receive this examination data obtained by the acquisition device,
- traiter ces données d’examen pour obtenir une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, à l’aide du dispositif de traitement de données 3 (étape 28), - processing these examination data to obtain diagnostic information for the disease based on an analysis of said examination data, using the data processing device 3 (step 28),
- afficher une information de diagnostic de la maladie basée sur une analyse desdites données d’examen, cette information de diagnostic pouvant être représentative d’un niveau de probabilité que la personne soit atteinte de la maladie (étape 29). - displaying diagnostic information for the disease based on an analysis of said examination data, this diagnostic information being able to be representative of a level of probability that the person has the disease (step 29).
[1 13] Les étapes 20 à 25 sont les suivantes : [1 13] Steps 20 to 25 are as follows:
- l’identification des caractérisations personnelles se fait au moyen des caméras Rouge Vert Bleu (ou caméra RGB), c’est l’étape 20, - the identification of personal characterizations is done by means of Red Green Blue cameras (or RGB camera), this is step 20,
- acquisition de la température de la personne à l’étape 21 avec une caméra thermique de type FIR, les détails de cette acquisition de température étant déjà décrite, - acquisition of the person's temperature in step 21 with an FIR type thermal camera, the details of this temperature acquisition being already described,
- acquisition du rythme respiratoire étape 22 à l’aide de la caméra FIR, - acquisition du rythme cardiaque à l’étape 23 à l’aide de la caméra dans le proche infrarouge, ou caméra NIR, à savoir une caméra capable d’opérer dans le proche infrarouge, - acquisition of the respiratory rate step 22 using the FIR camera, - acquisition of the heart rate in step 23 using the near infrared camera, or NIR camera, namely a camera capable of operating in the near infrared,
- acquisition de signes vitaux à l’aide du radar, à l’étape 24, - acquisition of vital signs using the radar, in step 24,
- acquisition de données personnelles à l’aide du lecteur de carte à l’étape 25,- acquisition of personal data using the card reader in step 25,
- potentiellement une oxymétrie par la caméra de proche infrarouge (NIR). - potentially near-infrared (NIR) camera oximetry.
[1 14] La présente permet également un suivi médical des personnes. [1 14] This also allows medical monitoring of individuals.
[1 15] Les données d’examen peuvent, le cas échéant, comporter la taille des pupilles et de leur position. [1 15] Examination data may, where appropriate, include pupil size and position.
[1 16] Les informations de diagnostic sont envoyées automatiquement un système de stockage de données distant de type Cloud. [1 16] Diagnostic information is automatically sent to a cloud-based remote data storage system.
[1 17] De même les informations utiles au modèle de diagnostic, ou algorithme de diagnostic, peuvent être reçues du système distant de type Cloud. [1 17] Similarly, information useful for the diagnostic model, or diagnostic algorithm, can be received from the cloud-type remote system.
[1 18] Potentiellement deux caméras, NIR et FIR, sont utilisées. La caméra FIR pour les températures et les caractéristiques de la respiration et la caméra NIR pour l'oxymétrie et le rythme cardiaque. [1 18] Potentially two cameras, NIR and FIR, are used. The FIR camera for temperatures and respiration characteristics and the NIR camera for oximetry and heart rate.
[1 19] Le dispositif d’acquisition est notamment agencé pour acquérir des données d’examen comprenant une température extérieure, une température mesurée sur une pommette de la personne, une température mesurée sur le bout du nez de la personne, et également le cas échéant, une température maximale du visage et une température d’un vêtement ou d’une surface à température contrôlée de référence, et le cas échéant un volume respiratoire, les tremblements, le taux d'oxygène dans le sang. [1 19] The acquisition device is in particular arranged to acquire examination data comprising an outside temperature, a temperature measured on a cheekbone of the person, a temperature measured on the tip of the person's nose, and also the case where applicable, a maximum facial temperature and a temperature of a garment or of a reference temperature-controlled surface, and where applicable a respiratory volume, tremors, the level of oxygen in the blood.
[120] On va maintenant décrire une variante de l’invention qui permet d’améliorer le traitement des données et d’avoir un diagnostic plus fiable. [120] We will now describe a variant of the invention which makes it possible to improve the processing of the data and to have a more reliable diagnosis.
[121] Le système de détection 1 comporte: [121] Detection system 1 includes:
- un dispositif d’acquisition 7 de données d’examen sur la personne, ce dispositif d’acquisition comportant notamment au moins un capteur de mesure physiologique tel qu’un radar, et une caméra thermique pour acquérir ces données d’examen, un dispositif de traitement de données 3 agencé pour recevoir ces données d’examen obtenues par le dispositif d’acquisition, et ce dispositif de traitement de données 3 est agencé pour générer une valeur corrigée, ou encore appelée valeur normalisée, obtenue à partir d’au moins une donnée d’examen mesurée par le dispositif d’acquisition 7 et corrigée par un terme correctif issu d’une table de correction. - a device 7 for acquiring examination data on the person, this acquisition device comprising in particular at least one sensor for physiological measurement such as a radar, and a thermal camera for acquiring this examination data, a data processing device 3 arranged to receive these examination data obtained by the acquisition device, and this data processing device 3 is arranged to generate a corrected value, or also called normalized value, obtained from at least one examination datum measured by the acquisition device 7 and corrected by a corrective term from a correction table.
[122] Cette table de correction peut être une table mémorisée par le dispositif de traitement ou, en variante, une table de valeurs mise à jour, notamment grâce à une unité d’intelligence artificielle. [122] This correction table may be a table stored by the processing device or, as a variant, an updated table of values, in particular thanks to an artificial intelligence unit.
[123] Le dispositif de traitement est agencé pour traiter des données d’examen obtenues à l’aide d’une caméra, de thermocouples, d’un radar, d’un oxymètre du dispositif d’acquisition, afin de les normaliser et de les rendre comparables à une ou des valeurs universelles. [123] The processing device is arranged to process examination data obtained using a camera, thermocouples, radar, an oximeter of the acquisition device, in order to standardize them and make them comparable to one or more universal values.
[124] Dans l’exemple décrit, le dispositif d’acquisition 7 comporte un radar pour acquérir au moins une donnée relative à un signe vital d’une personne, deux caméras thermiques pour acquérir des données de température et une caméra opérant dans le domaine de la lumière visible pour acquérir une donnée de caractérisation d’une personne testée. [124] In the example described, the acquisition device 7 comprises a radar to acquire at least one data relating to a vital sign of a person, two thermal cameras to acquire temperature data and a camera operating in the field visible light to acquire characterization data of a tested person.
[125] Le dispositif d’acquisition 7 comporte en outre une caméra NIR, capable d’opérer dans le proche infrarouge, avec un illuminateur, cette caméra étant agencé pour acquérir une donnée de température ambiante, de luminosité ambiante et de l’heure de la journée. [125] The acquisition device 7 further comprises an NIR camera, capable of operating in the near infrared, with an illuminator, this camera being arranged to acquire data on ambient temperature, ambient luminosity and the time of the day.
[126] Le dispositif d’acquisition 7 comporte en outre une caméra NIR, capable d’opérer dans le proche infrarouge, agencée pour réaliser une mesure d’oxymétrie et de caractéristiques respiratoires de la personne testée. [126] The acquisition device 7 also includes an NIR camera, capable of operating in the near infrared, arranged to measure the oximetry and respiratory characteristics of the person tested.
[127] Les données d’examen acquises par le dispositif d’acquisition sont choisies parmi : une caractéristique d’une température relative à une personne testée, une caractéristique cardiaque, respiratoire ou circulatoire du sang de la personne testée. [128] Le dispositif de traitement comporte une mémoire de valeurs universelles auxquelles sont comparées les valeurs corrigées, ou valeurs normalisées, issues des données d’examen acquises par le dispositif d’acquisition. [127] The examination data acquired by the acquisition device are chosen from: a characteristic of a temperature relating to a person tested, a cardiac, respiratory or circulatory characteristic of the blood of the person tested. [128] The processing device comprises a memory of universal values with which the corrected values, or normalized values, resulting from the examination data acquired by the acquisition device are compared.
[129] Les valeurs corrigées ont subi une correction basée sur la prise en compte d’erreurs de mesures de contexte et/ou de variations entre individus, variations liées à leurs caractéristiques corporelles telles que l’âge, le genre et la corpulence. [129] The corrected values underwent a correction based on taking into account errors in context measurements and/or variations between individuals, variations linked to their bodily characteristics such as age, gender and corpulence.
[130] Par exemple, en référence au tableau [Table 1 ] ci-dessous, la température prise sur la tête de la personne testée à l’aide du dispositif d’acquisition 7 est de 37.8° qui est une température usuellement considérée comme celle d’une personne ayant de la fièvre. Cette mesure correspond à une donnée d’examen 100. [130] For example, with reference to the table [Table 1] below, the temperature taken on the head of the person tested using the acquisition device 7 is 37.8° which is a temperature usually considered as that of a person with a fever. This measurement corresponds to an examination data of 100.
[131] Tableau : [131] Table:
100 z 10 /1 10 /2 10/3 10/4 10 /5 1/06 10 x7 iQ8\ 110\ 111 100 z 10 /1 10 /2 10/3 10/4 10 /5 1/06 10 x7 iQ8\ 110\ 111
[132] L’invention permet ici de corriger cette conclusion « personne ayant de la fièvre >> / « personne n’ayant pas de fièvre >> en fonction de termes correctifs de la table de correction. [132] The invention here makes it possible to correct this conclusion "person with a fever" / "person without a fever" according to the corrective terms of the correction table.
[133] Nous allons ici illustrer ce propos. [133] We will illustrate this point here.
[134] Nous allons considérer une personne testée qui se trouve dans une pièce. [134] We will consider a tested person who is in a room.
[135] La première correction, associé à un terme correctif 101 , est liée à deux effets. Un premier effet, c’est la correction liée à l’effet de la variation de la température de la pièce sur la caméra du dispositif d’acquisition 7, notamment sur la cellule de la caméra. On remarque en effet une dérive de la mesure lorsque la température de la caméra change Ceci est le cas lorsque la température de la pièce change car, en général, la mesure n’est pas absolue mais différentielle. La deuxième partie de cette correction dépend de l’impact de la température ambiante sur la physiologie de la personne testée. Lorsque la température de la pièce augmente, la température du la peau de cette personne change légèrement pour garder le corps dans des conditions de survie idéal. Dans l’exemple ici décrit, la somme des deux effets de correction donne un terme correctif de -0.3°C car la température de référence est de 20° et la température de la pièce est ici de 23°C. [135] The first correction, associated with a corrective term 101 , is linked to two effects. A first effect is the correction linked to the effect of the variation in the temperature of the room on the camera of the acquisition device 7, in particular on the cell of the camera. We indeed notice a drift of the measurement when the temperature of the camera changes This is the case when the temperature of the part changes because, in general, the measurement is not absolute but differential. The second part of this correction depends on the impact of ambient temperature on the physiology of the person being tested. When the room temperature rises, the temperature of that person's skin changes slightly to keep the body in ideal survival conditions. In the example described here, the sum of the two correction effects gives a corrective term of -0.3°C because the reference temperature is 20° and the room temperature here is 23°C.
[136] Par exemple, une température du corps de la personne testée de 37.5°C à 23°C ambiant correspond respectivement à 37.2°C à 20°C. [136] For example, a body temperature of the person tested of 37.5°C at 23°C ambient corresponds respectively to 37.2°C at 20°C.
[137] Le deuxième terme, de référence 102, présente une valeur égale à 0. Ce terme 102 est choisi pour, dans le cadre d’un changement de référence, ramener la température mesurée au niveau de la bouche à celle du front. Par exemple 37.5°C en bouche correspond à 37.8°C sur le front. [137] The second term, reference 102, has a value equal to 0. This term 102 is chosen to, in the context of a change of reference, bring the temperature measured at the level of the mouth to that of the forehead. For example 37.5°C in the mouth corresponds to 37.8°C on the forehead.
[138] Le troisième terme, de référence 103, correspondant à une correction liée à l’âge de la personne testée, ici de valeur 0. Dans d’autres cas, un terme correctif de 0.1 °C est choisi pour un patient de 50 ans par rapport à une référence de 30 ans. Ainsi une mesure de 37.5°C à 50 ans correspond à 37.6°C à 30 ans. [138] The third term, reference 103, corresponds to a correction linked to the age of the person tested, here of value 0. In other cases, a corrective term of 0.1°C is chosen for a patient of 50 years compared to a reference of 30 years. Thus a measurement of 37.5°C at 50 years old corresponds to 37.6°C at 30 years old.
[139] Le quatrième terme correctif, de référence 104, correspond à une correction liée au genre. Par exemple les femmes ont une température moyenne légèrement supérieure à aux hommes. La température normalisée est donc calculée par rapport au genre féminin, et le terme correctif 104 est appliqué pour une personne testée homme. [139] The fourth corrective term, reference 104, corresponds to a gender-related correction. For example, women have a slightly higher average temperature than men. The normalized temperature is therefore calculated with respect to the female gender, and the corrective term 104 is applied for a male tested person.
[140] Le cinquième terme correctif, de référence 105, correspond à un niveau d’habillement de la personne testée. [140] The fifth corrective term, reference 105, corresponds to a clothing level of the person tested.
[141] Le sixième terme correctif, de référence 106, correspond à l’observation que la température d’une personne fluctue naturellement en fonction du moment de la journée. C’est le cycle circadien. On normalise la température de la personne à une heure de référence, par exemple 6 heures du matin. [141] The sixth corrective term, reference 106, corresponds to the observation that a person's temperature fluctuates naturally depending on the time of day. This is the circadian cycle. The temperature of the person is normalized at a reference time, for example 6 o'clock in the morning.
[142] Les septième et huitième termes correctifs 107 et 108 dépendent respectivement de l’indice de masse corporelle BMI et de la forme physique de la personne. [142] The seventh and eighth corrective terms 107 and 108 depend respectively on the body mass index BMI and the physical form of the person.
[143] La correction globale, représenté par le terme correctif global 110, est la somme des termes correctifs 101 à 108. Ce terme correctif global 110 permet une normalisation de la mesure de température, ce qui permet une comparaison par rapport à une ou plusieurs valeurs de seuil et donc de définir un risque de contamination. Ici la température corrigée 111 est de 37.3°, qui correspond à un risque 0% d’avoir de la fièvre. [143] The global correction, represented by the global corrective term 110, is the sum of the corrective terms 101 to 108. This global corrective term 110 allows a standardization of the temperature measurement, which allows a comparison with one or more threshold values and therefore to define a risk of contamination. Here the corrected temperature 111 is 37.3°, which corresponds to a 0% risk of having a fever.
[144] Ainsi la température corrigée, ici de 37.3°, est comparée à une température universelle mémorisée, ici une valeur de seuil de fièvre par exemple à 37.7°. [144] Thus the corrected temperature, here 37.3°, is compared with a stored universal temperature, here a fever threshold value at 37.7°, for example.
[145] La même méthodologie peut être reprise pour les caractéristiques cardiaques, respiratoires et circulatoires et définir ainsi un ensemble de mesures normées qui peuvent servir pour un diagnostic. [145] The same methodology can be used for cardiac, respiratory and circulatory characteristics and thus define a set of standardized measurements that can be used for diagnosis.
[146] Dans l’exemple décrit, le dispositif de traitement de données 3 est agencé pour réaliser, à l’aide d’un algorithme, un diagnostic basé sur une fusion de données vitales incluant notamment un rythme respiratoire, une amplitude respiratoire, un temps d'inspiration et d'expiration, un rythme et arythmie cardiaque. Toutes ces données vitales peuvent subir une normalisation à la manière décrite plus haut à l’aide de termes correctifs. [146] In the example described, the data processing device 3 is arranged to carry out, using an algorithm, a diagnosis based on a fusion of vital data including in particular a respiratory rate, a respiratory amplitude, a inspiration and expiration time, cardiac rhythm and arrhythmia. All of this vital data can undergo normalization in the manner described above using corrective terms.
[147] Les valeurs corrigées sont comparées à des valeurs universelles, notamment des valeurs de seuil pour conclure à des informations de diagnostics. [147] The corrected values are compared to universal values, in particular threshold values to conclude on diagnostic information.

Claims

Revendications Claims
[Revendication 1 ] Système (1 ) de détection d’une maladie sur une personne, notamment une maladie contagieuse telle que le COVID 19, ce système de détection comportant: [Claim 1] System (1) for detecting a disease on a person, in particular a contagious disease such as COVID 19, this detection system comprising:
- un dispositif d’acquisition (7) de données d’examen sur la personne, ce dispositif d’acquisition comportant notamment au moins un capteur de mesure physiologique tel qu’un radar, et une caméra thermique pour acquérir ces données d’examen, - an acquisition device (7) for examination data on the person, this acquisition device comprising in particular at least one physiological measurement sensor such as a radar, and a thermal camera for acquiring this examination data,
- un dispositif de traitement de données (3) agencé pour recevoir ces données d’examen obtenues par le dispositif d’acquisition, ce dispositif de traitement de données (3) étant agencé pour générer une valeur corrigée, ou encore appelée valeur normalisée, obtenue à partir d’au moins une donnée d’examen mesurée par le dispositif d’acquisition (7) et corrigée par un terme correctif issu d’une table de correction. - a data processing device (3) arranged to receive these examination data obtained by the acquisition device, this data processing device (3) being arranged to generate a corrected value, or also called normalized value, obtained from at least one examination datum measured by the acquisition device (7) and corrected by a corrective term from a correction table.
[Revendication 2] Système selon la revendication précédente, selon lequel le dispositif de traitement est agencé pour traiter des données d’examen obtenues par exemple à l’aide d’une caméra, de thermocouples, d’un radar, d’un oxymètre du dispositif d’acquisition, afin de les normaliser en vue d’obtenir ladite valeur normalisée et de les rendre comparables à une ou des valeurs universelles. [Claim 2] System according to the preceding claim, according to which the processing device is arranged to process examination data obtained for example using a camera, thermocouples, a radar, an oximeter of the acquisition device, in order to normalize them with a view to obtaining said normalized value and to make them comparable to one or more universal values.
[Revendication 3] Système selon l’une des revendications précédentes, selon lequel le dispositif d’acquisition (7) comporte un radar pour acquérir au moins une donnée relative à un signe vital d’une personne, une ou deux caméras thermiques pour acquérir des données de température et une caméra opérant dans le domaine de la lumière visible pour acquérir une donnée de caractérisation d’une personne testée. [Claim 3] System according to one of the preceding claims, according to which the acquisition device (7) comprises a radar for acquiring at least one datum relating to a vital sign of a person, one or two thermal cameras for acquiring temperature data and a camera operating in the visible light range to acquire characterization data of a tested person.
[Revendication 4] Système selon l’une des revendications précédentes, selon lequel le dispositif d’acquisition (7) comporte en outre une caméra NIR, capable d’opérer dans le proche infrarouge, avec un illuminateur, cette caméra étant agencé pour acquérir une donnée de température ambiante, de luminosité ambiante et de l’heure de la journée. [Claim 4] System according to one of the preceding claims, according to which the acquisition device (7) further comprises an NIR camera, capable of operating in the near infrared, with an illuminator, this camera being arranged to acquire a ambient temperature, ambient light and time of day data.
[Revendication 5] Système selon l’une des revendications précédentes, selon lequel le dispositif de traitement de données est agencé pour faire tourner un algorithme de diagnostic basé sur une fusion de données vitales, notamment un rythme respiratoire, une amplitude de respiration, un temps d'inspiration et d'expiration, un rythme et arythmie cardiaque. [Claim 5] System according to one of the preceding claims, in which the data processing device is arranged to run a diagnostic algorithm based on a fusion of vital data, in particular a breathing rate, breathing amplitude, inspiration and expiration time, cardiac rhythm and arrhythmia.
[Revendication 6] Système selon l’une des revendications précédentes, selon lequel le dispositif de traitement comporte une mémoire de valeurs universelles auxquelles sont comparées les valeurs corrigées issues des données d’examen acquises par le dispositif d’acquisition. [Claim 6] System according to one of the preceding claims, according to which the processing device comprises a memory of universal values with which the corrected values resulting from the examination data acquired by the acquisition device are compared.
[Revendication 7] Système selon l’une des revendications précédentes, selon lequel la table de correction peut être une table mémorisée par le dispositif de traitement, le terme correctif issu de la table de correction pouvant correspondre à un changement de référence de la zone de la personne à tester, à une correction liée à l’âge, au genre, au niveau d’habillement, à l’indice de masse corporelle et à la forme physique de la personne testée et/ou liée au cycle circadien. [Claim 7] System according to one of the preceding claims, according to which the correction table may be a table stored by the processing device, the corrective term resulting from the correction table possibly corresponding to a change of reference of the zone of the person to be tested, to a correction linked to the age, gender, level of clothing, body mass index and physical form of the person tested and/or linked to the circadian cycle.
[Revendication 8] Système selon l’une des revendications précédentes, selon lequel le dispositif de traitement de données (3) est agencé pour réaliser une fusion de données issues d’acquisition de données des caméra et radar précités, ces données comprenant notamment des données relatives aux signes vitaux, aux données de température et aux données de caractérisation de la personne testée, aux données de température ambiante, de la luminosité ambiante et de l’heure de la journée. [Claim 8] System according to one of the preceding claims, according to which the data processing device (3) is arranged to carry out a fusion of data resulting from the acquisition of data from the aforementioned cameras and radars, these data comprising in particular data relating to vital signs, temperature data and characterization data of the person tested, ambient temperature data, ambient light and time of day.
[Revendication 9] Système selon l’une des revendications précédentes, selon lequel le dispositif de traitement est agencé pour effectuer une correction en tenant compte du cycle circadien et de la température ambiante pour les valeurs de seuil mais aussi pour corriger des dérives de mesures des caméras NIR et FIR ainsi que d’un éventuel radar. [Claim 9] System according to one of the preceding claims, according to which the processing device is arranged to carry out a correction by taking into account the circadian cycle and the ambient temperature for the threshold values but also to correct drifts in measurements of the NIR and FIR cameras as well as a possible radar.
EP21798042.4A 2020-11-09 2021-10-26 Disease detection system Pending EP4240230A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2011469A FR3115974A1 (en) 2020-11-09 2020-11-09 Disease detection system
PCT/EP2021/079597 WO2022096309A1 (en) 2020-11-09 2021-10-26 Disease detection system

Publications (1)

Publication Number Publication Date
EP4240230A1 true EP4240230A1 (en) 2023-09-13

Family

ID=75539381

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21798042.4A Pending EP4240230A1 (en) 2020-11-09 2021-10-26 Disease detection system

Country Status (4)

Country Link
US (1) US20230414114A1 (en)
EP (1) EP4240230A1 (en)
FR (1) FR3115974A1 (en)
WO (1) WO2022096309A1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10141073B2 (en) * 2012-12-19 2018-11-27 Elwha Llc Systems and methods for controlling acquisition of sensor information
WO2018031910A1 (en) * 2016-08-12 2018-02-15 Timothy Johnson Temperature measurement by infrared analysis
US11065958B2 (en) * 2017-01-03 2021-07-20 Transportation Ip Holdings, Llc Control system and method
US20200269848A1 (en) * 2019-02-27 2020-08-27 Denso International America, Inc. System for adjusting and activating vehicle dynamics features associated with a mood of an occupant

Also Published As

Publication number Publication date
FR3115974A1 (en) 2022-05-13
US20230414114A1 (en) 2023-12-28
WO2022096309A1 (en) 2022-05-12

Similar Documents

Publication Publication Date Title
Dimauro et al. A new method and a non-invasive device to estimate anemia based on digital images of the conjunctiva
WO2014186838A1 (en) A system and method for remote medical diagnosis
CA2679837A1 (en) Quantitative analysis of skin characteristics
EP4149345A1 (en) Disease detection system
US20220270344A1 (en) Multimodal diagnosis system, method and apparatus
WO2022258560A1 (en) System for assisting with provision of diagnostic information
Cook et al. Comparison of two devices for facial skin analysis
EP4240230A1 (en) Disease detection system
US20200121243A1 (en) System and method for diagnosing soft tissue conditions
Khurshid et al. Image processing to quantitate hemoglobin level for diagnostic support
WO2022233637A1 (en) System for assisting with provision of diagnostic information
WO2023001549A1 (en) System for assisting with provision of diagnostic information
Mansfield et al. Evaluation of static thermal and near-infrared hyperspectral imaging for the diagnosis of acute maxillary rhinosinusitis
KUSHWAH et al. DATA STUDY OF SAFE ENTRY STATION (SES) TO ENSURE FIT FOR DUTY
Khurshid et al. Performance Evaluation of the Pallor in the Diagnosis of Anemia.
US12039764B2 (en) Multimodal diagnosis system, method and apparatus
CN209847148U (en) Wheelchair with infrared thermal imaging detection device
US20220296158A1 (en) System, method, and apparatus for temperature asymmetry measurement of body parts
US20240242790A1 (en) System for assisting with provision of diagnostic information
KR102248251B1 (en) Medical diagnosis support apparatus using body heat information
US20220117524A1 (en) Apparatus, method and device for non-contact and non-invasive blood sugar monitoring to help monitor diabetic patients and hypercoagulation
Mohamed et al. Measurement of haemoglobin using digital photographs of mucous membrane of eye.
Vishnupriyaa et al. Advancing Early Detection Of Vitiligo Using A Non-Invasive Detection System
JP2024019863A (en) Wellness information evaluation system, and wellness information evaluation method
Tabassum et al. A Non-Invasive Method for Detection of Thyroid and Thyroid Dysfunction Diagnosis in Human Blood

Legal Events

Date Code Title Description
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: UNKNOWN

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20230517

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DAV Request for validation of the european patent (deleted)
DAX Request for extension of the european patent (deleted)