EP3429469A1 - Dispositif de retour neurologique amélioré - Google Patents
Dispositif de retour neurologique amélioréInfo
- Publication number
- EP3429469A1 EP3429469A1 EP17714856.6A EP17714856A EP3429469A1 EP 3429469 A1 EP3429469 A1 EP 3429469A1 EP 17714856 A EP17714856 A EP 17714856A EP 3429469 A1 EP3429469 A1 EP 3429469A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- electroencephalogram
- magnetic resonance
- resonance imaging
- block
- data
- 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.)
- Withdrawn
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/375—Electroencephalography [EEG] using biofeedback
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
- A61B5/0042—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
-
- 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
-
- 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
- A61B5/026—Measuring blood flow
- A61B5/0263—Measuring blood flow using NMR
-
- 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
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/486—Bio-feedback
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—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
-
- 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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
-
- 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
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
- A61B2505/09—Rehabilitation or training
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
- A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/372—Analysis of electroencephalograms
- A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Definitions
- the invention relates to the field of clinical neuroscience and in particular neurological return devices, also referred to as neurofeedback.
- EEG electroencephalogram
- fMRI metabolic magnetic resonance imaging type
- the Applicant proposes a neurological return device comprising a memory capable of receiving electroencephalogram data and raw metabolic magnetic resonance imaging data, an electroencephalogram block comprising at least one electroencephalogram processing unit arranged to treat raw electroencephalogram data and calculating a value related to a brain wave, a functional magnetic resonance imaging block comprising at least one metabolic and functional magnetic resonance imaging processing unit arranged to process resonance imaging data magnetic function and calculate a value of perfusion or oxygenation of certain brain areas, a synchronizer arranged to temporally synchronize the electroencephalogram data and raw functional magnetic resonance imaging data and their treatment in the electroencephalogram block and the functional magnetic resonance imaging block, and a calculator arranged to determine a score representing a correspondence between values associated with a neuro-rehabilitation activity and values from electroencephalogram block and functional magnetic resonance imaging block obtained from electroencephalogram measurements and functional magnetic resonance imaging of a patient seeking to reproduce neurological rehabilitation activity , the device being arranged to send a neurological return to the patient on the basis
- This type of device is particularly advantageous because it allows to combine returns of two types of measurement of different nature and potentially complementary to each other, which allows for more effective rehabilitation.
- the device may have one or more of the following characteristics:
- the computer is arranged to control a display according to the calculated score
- the computer is arranged to control the display for a chosen duration corresponding to a period during which a patient tries to reproduce the neurological rehabilitation activity
- the calculator is arranged to calculate said score during a period during which a patient tries to reproduce the neurological rehabilitation activity from 5 seconds to 1 minute, preferably 20 seconds,
- the computer is arranged to update calculation data of the score during a chosen duration corresponding to a rest period for the patient
- the computer is arranged to update calculation data of the score during a chosen duration corresponding to a rest period for the patient from 5 seconds to 1 minute, preferably 20 seconds,
- the device further comprises an electroencephalogram sensor,
- the device further comprises a functional magnetic resonance imaging sensor.
- FIG. 1 represents a schematic diagram of a device according to the invention
- FIG. 2 represents an exemplary implementation of the device of FIG. 1,
- FIG. 3 represents an exemplary implementation of a function by block 10 or block 20 of FIG. 1,
- FIG. 4 represents an exemplary neurological feedback provided by the device according to the invention
- FIG. 5 represents another example of neurological feedback provided by the device according to the invention.
- FIG. 1 represents a schematic diagram of a device 2 according to the invention.
- the device 2 comprises a memory 4, an EEG block 10, a fMRI block 20, a synchronizer 30, and a computer 40.
- the memory 4 can be any type of data storage suitable for receiving digital data: hard disk, hard disk flash memory (SSD in English), flash memory in any form, RAM, disk magnetic, distributed storage locally or in the cloud, etc.
- the data calculated by the device can be stored on any type of memory similar to the memory 2, or on it. This data can be erased after the device has completed its tasks or stored.
- the EEG block comprises an EEG sensor 12 and EEG processing units 14, 16 and 18.
- the processing units 14 and 16 are respectively dedicated to denoising / resampling, and to estimating power, while the processing unit 18 uses a data model to determine characteristics based on power estimation, such as alpha and beta waves.
- the units 14 to 18 are connected in series, so that an image from the EEG sensor 12 is successively processed by them to give a result. Alternatively, some of these units could be grouped together, other omissions, or other units could be added, and the sensor 12 could be considered out of the device 2.
- the block fMRI 20 includes a fMRI sensor 20 and fMRI processing units 24, 26 and 28.
- the processing unit 24 is dedicated to realign the image to account for patient movements during image capture.
- the processing unit is dedicated to the processing of the realigned image to correct bias due to slicing of the fMRI process.
- the processing unit 28 uses a data model to determine activation characteristics of brain areas based on the data from the processing unit 26.
- the units 24 to 28 are connected in series, so that a series of 3D images from the fMRI sensor 22 is successively processed by them to give a result. Alternatively, some of these units could be grouped together other units could be added, and the sensor 22 could be considered out of the device 2.
- the EEG processing units 14 to 18, the fMRI processing units 24 to 28, the synchronizer 30 and the computer 40 are elements accessing the memory 4 directly or indirectly. They can be implemented in the form of an appropriate computer code. run on one or more processors.
- processor it should be understood any processor adapted to the processing of imaging data and the synchronization of data marked temporally.
- Such a processor can be made in any known manner, in the form of a microprocessor for a personal computer, a dedicated FPGA or SoC chip ("System on chip"), a computing resource on a grid, a microcontroller, or any other form to provide the computing power necessary for the embodiment described below.
- One or more of these elements can also be realized in the form of specialized electronic circuits such as an ASIC.
- a combination of processor and electronic circuits can also be considered.
- the two blocks 10 and 20 not only relate to totally foreign measurements, but they also have very different acquisition and processing frequencies.
- the sensor 12 typically has an acquisition frequency of the order of 5 kHz and is generally resampled at 250 Hz output, while the sensor 22 emits on average a 3D image per second.
- the fundamental difference in cadence as well as the a priori distinct nature of the data derived from these measurements has so far deterred the skilled person from seeking to combine EEG and fMRI together to perform neurological rehabilitation.
- FIG. 2 represents an example of operation of the device according to the invention.
- the device is initialized by an Init () function. This function initializes the blocks 10 and 20, as well as the synchronizer 30 and the computer 40, and further controls in the example described here a display for interaction with the patient.
- a representation of the task to be performed must be presented and explained to the patient, and the patient will be asked to perform this task once. Then, a loop is initialized in which the patient is prompted to reproduce the task again in an operation 210, and then to rest during an operation 220.
- the device performs an ActFeed () function in which the blocks 10 and 20 measure the brain activity of the patient and the calculator 40 calculates a score reflecting a return of the neurological activity of the patient during the treatment. execution of the required task. This feedback is displayed simultaneously, so that the patient can focus on how to stimulate his brain that optimizes the return displayed.
- ActFeed ActFeed
- the score from the EEG block 10 may be based on an evaluation of power in frequency bands of the EEG signals (also called “Band Power" in the domain) when performing the task that is requested from the patient. Indeed, a given task may be known to cause stimulation of the brain in the form of brain waves activated in one or more frequency bands, and the EEG block 10 determines the correspondence between the excitation frequencies of the patient's brain. and the targeted "Band Power".
- the waves sought may be delta waves (between 0.5 and 4 Hz), theta (between 4 and 8 Hz), alpha (between 8 and 13 Hz), and beta (between 13 and 30 Hz), or even peaks at 3 Hz.
- the score from the fMRI block can be based on an evaluation of the oxygen level in a region of interest of the brain. Indeed, a given task may be known to induce brain activity that results in oxygenation of a specific region, and the fMPJ block determines the correspondence between the region of the brain of the patient who is excited and the target area.
- the computer 40 is arranged to combine the scores respectively from the block 10 and the block 20, and to present them in a manner relevant to the patient.
- the computer 40 can use the respective scores as coordinates in a two-dimensional plane, and display a visual feedback in which the bottom left corner of the image represents a return. negative and the top right corner of the image represents a positive return, the progression along either axis indicating that the EEG or fMRI score is improving. Positive feedback means that the scores indicate brain activity corresponding to the expected activity, and negative feedback means brain activity that does not correspond to the expected activity.
- the calculator 40 can use the respective scores as a dimension and a color for a represented shape, and display a visual feedback in which the size of the shape is even greater than the score EEG (respectively fMRI) is better and in which the color of this form can vary from blue to red depending on the fMRI score (respectively EEG), a blue color indicating low score and a red color indicating a high score.
- the computer 40 and not the block 10 and the block 20 that determines the correspondence between the measurements and the values associated with the rehabilitation activity.
- the device is arranged to continue to analyze the data from the blocks 10 and 20, in order to adjust the following repetition of the operation 210.
- This operation can notably include the definition of new thresholds of comparison for the calculation of the respective scores and / or their processing by the calculator 40.
- FIG. 3 represents an example of operation of the block 10 (respectively 20).
- Block 10 executes a loop starting with an operation 310 in which the measurement EEG (respectively fMRI) is acquired by the sensor 12 (respectively 22). Then, in an operation 320, the block 10 (respectively 20) interacts with the synchronizer 30 to temporally realign the data from the sensor 12 (respectively 22). Data synchronization is fundamental. Indeed, the neurological return treatments are measured by extremely modest signal increases, of the order of 1% for the targeted brain regions, for example in the case of patients who have suffered a stroke. It is crucial that the measurement signals are well synchronized, so as not to compute scores based on temporally unrelated data, which would be less relevant than the separate scores.
- This synchronization is performed using time markers associated with each signal, these time markers also having a common time reference.
- the raw signals are recorded, and a function makes it possible to analyze the acquired signals by searching for particular time markers.
- another synchronization layer is made using the common time reference to select only the relevant data. For example, in the case of a neurological return during which the same task is executed several times, interspersed with pauses, the time intervals associated with each period of activity or rest are known a priori, and the data are directly cut off. in the buffers based on the common time reference. Conversely, in the case of a neurological return in which a patient is asked to perform an activity until a neurological return is reached within a given time window, synchronization is performed at regular intervals, preferably at a multiple of the highest acquisition frequency. Finally, in an operation 330, the block 10 (respectively 30) processes the realigned data temporally in the processing units 14 to 18 (respectively 24 to 28).
- the synchronizer 30 also interacts with the processing units 14 and 16 (respectively 24 and 26). This interaction may be omitted alternatively. Conversely, the processing unit 18 (respectively 28) may also interact with the optional synchronizer 30.
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Physiology (AREA)
- Artificial Intelligence (AREA)
- Psychiatry (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Cardiology (AREA)
- Neurology (AREA)
- Mathematical Physics (AREA)
- Biodiversity & Conservation Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- High Energy & Nuclear Physics (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Signal Processing (AREA)
- Psychology (AREA)
- Pulmonology (AREA)
- Hematology (AREA)
- Urology & Nephrology (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Rehabilitation Tools (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1652279A FR3048867B1 (fr) | 2016-03-17 | 2016-03-17 | Dispositif de retour neurologique ameliore |
PCT/FR2017/050567 WO2017158273A1 (fr) | 2016-03-17 | 2017-03-14 | Dispositif de retour neurologique amélioré |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3429469A1 true EP3429469A1 (fr) | 2019-01-23 |
Family
ID=55863077
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP17714856.6A Withdrawn EP3429469A1 (fr) | 2016-03-17 | 2017-03-14 | Dispositif de retour neurologique amélioré |
Country Status (5)
Country | Link |
---|---|
US (1) | US20190090776A1 (fr) |
EP (1) | EP3429469A1 (fr) |
JP (1) | JP2019509824A (fr) |
FR (1) | FR3048867B1 (fr) |
WO (1) | WO2017158273A1 (fr) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3505056A1 (fr) * | 2017-12-29 | 2019-07-03 | Nokia Technologies Oy | Synchronisation de données physiologiques |
CN113100780B (zh) * | 2021-03-04 | 2022-07-26 | 北京大学 | 同步脑电-功能磁共振数据的自动化处理方法 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110046473A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Eeg triggered fmri signal acquisition |
JP5320543B2 (ja) * | 2011-11-08 | 2013-10-23 | 株式会社国際電気通信基礎技術研究所 | 脳機能亢進支援装置および脳機能亢進支援方法 |
RU2523349C1 (ru) * | 2013-04-11 | 2014-07-20 | Федеральное государственное бюджетное учреждение "Научный центр неврологии" Российской академии медицинских наук (ФГБУ "НЦН" РАМН) | Способ реабилитации больных, перенесших инсульт |
-
2016
- 2016-03-17 FR FR1652279A patent/FR3048867B1/fr not_active Expired - Fee Related
-
2017
- 2017-03-14 JP JP2018549273A patent/JP2019509824A/ja active Pending
- 2017-03-14 EP EP17714856.6A patent/EP3429469A1/fr not_active Withdrawn
- 2017-03-14 WO PCT/FR2017/050567 patent/WO2017158273A1/fr active Application Filing
- 2017-03-14 US US16/085,166 patent/US20190090776A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
FR3048867A1 (fr) | 2017-09-22 |
US20190090776A1 (en) | 2019-03-28 |
WO2017158273A1 (fr) | 2017-09-21 |
FR3048867B1 (fr) | 2018-04-20 |
JP2019509824A (ja) | 2019-04-11 |
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