IL266388B2 - Respiratory early warning scoring systems and methods - Google Patents
Respiratory early warning scoring systems and methodsInfo
- Publication number
- IL266388B2 IL266388B2 IL266388A IL26638819A IL266388B2 IL 266388 B2 IL266388 B2 IL 266388B2 IL 266388 A IL266388 A IL 266388A IL 26638819 A IL26638819 A IL 26638819A IL 266388 B2 IL266388 B2 IL 266388B2
- Authority
- IL
- Israel
- Prior art keywords
- patient
- early warning
- bioelectrical impedance
- ews
- scoring system
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims 22
- 230000000241 respiratory effect Effects 0.000 title 1
- 230000036387 respiratory rate Effects 0.000 claims description 9
- 238000009423 ventilation Methods 0.000 claims description 9
- 208000004756 Respiratory Insufficiency Diseases 0.000 claims 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims 4
- 229910052760 oxygen Inorganic materials 0.000 claims 4
- 239000001301 oxygen Substances 0.000 claims 4
- 206010007559 Cardiac failure congestive Diseases 0.000 claims 2
- 206010016803 Fluid overload Diseases 0.000 claims 2
- 206010019280 Heart failures Diseases 0.000 claims 2
- 208000010378 Pulmonary Embolism Diseases 0.000 claims 2
- 206010037423 Pulmonary oedema Diseases 0.000 claims 2
- 208000001647 Renal Insufficiency Diseases 0.000 claims 2
- 206010038678 Respiratory depression Diseases 0.000 claims 2
- 206010039897 Sedation Diseases 0.000 claims 2
- 206010040047 Sepsis Diseases 0.000 claims 2
- 208000030886 Traumatic Brain injury Diseases 0.000 claims 2
- 230000036626 alertness Effects 0.000 claims 2
- 239000008280 blood Substances 0.000 claims 2
- 210000004369 blood Anatomy 0.000 claims 2
- 230000036772 blood pressure Effects 0.000 claims 2
- 230000007177 brain activity Effects 0.000 claims 2
- 201000010099 disease Diseases 0.000 claims 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims 2
- 230000000694 effects Effects 0.000 claims 2
- 230000003166 hypermetabolic effect Effects 0.000 claims 2
- 201000006370 kidney failure Diseases 0.000 claims 2
- 230000035764 nutrition Effects 0.000 claims 2
- 235000016709 nutrition Nutrition 0.000 claims 2
- 208000005333 pulmonary edema Diseases 0.000 claims 2
- 201000004193 respiratory failure Diseases 0.000 claims 2
- 230000009529 traumatic brain injury Effects 0.000 claims 2
- 230000000007 visual effect Effects 0.000 claims 2
- 230000008878 coupling Effects 0.000 claims 1
- 238000010168 coupling process Methods 0.000 claims 1
- 238000005859 coupling reaction Methods 0.000 claims 1
- 206010011224 Cough Diseases 0.000 description 5
- 238000002560 therapeutic procedure Methods 0.000 description 5
- 210000000416 exudates and transudate Anatomy 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
-
- 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
- A61B5/02—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
-
- 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
-
- 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
- A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
-
- 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
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Primary Health Care (AREA)
- Physiology (AREA)
- Epidemiology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Pulmonology (AREA)
- Cardiology (AREA)
- Artificial Intelligence (AREA)
- Urology & Nephrology (AREA)
- Psychiatry (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Respiratory Apparatuses And Protective Means (AREA)
Description
266388/ are sheared and can be expectorated or removed with suction. After the exhale, the system pauses and maintains a resting positive pressure flow to the patient. A facemask or mouthpiece can be used on endotracheal and tracheostomy (i.e. for patients with an appropriate adapter).
Preferably, the cough assist device automatically adjusts characteristic therapy levels (frequency, intensity, length of therapy, inhalation pressure, exhalation pressure) based on the levels of tidal volume, minute ventilation, and respiratory rate during therapy. In addition, the general within session and the session-to-session lung performance can be tracked to demonstrate effectiveness of the therapy (before, during, and after and across many sessions). Graphs could be provided to document breathing characteristics of the patient and to demonstrate improvement to the patient over time.
In addition, the characteristic shape of the bioimpedance expansion curve is an indicator of the success of each individual cough. Appropriate curves for maximizing exudate removal can be identified and the adjustment levels of the Cough assist System (frequency, intensity, length of therapy, inhalation pressure, and exhalation pressure) can be adjusted to get the desired cough expulsion curve. Characteristics of the cough assist can be adjusted to ensure the optimal results are provided for each individual patient.
Other embodiments and technical advantages of the invention are set forth below and may be apparent from the drawings and the description of the invention which follow, or may be learned from the practice of the invention.
Other embodiments and uses of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The term comprising, where ever used, is intended to include the terms consisting and consisting essentially of. Furthermore, the terms comprising, including, and containing are not intended to be limiting. It is intended that the specification and examples be considered exemplary only with the true scope and spirit of the invention indicated by the following claims .
Claims (26)
1./ Claims 1. An early warning scoring system, the system comprising: a computing device having acquisition circuitry; a plurality of sensors for acquiring bioelectrical impedance signals from a patient, wherein the sensors are functionally connected to the acquisition circuitry and are adapted to be placed in one or more tetrapolar configurations on the chest of the patient; and at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level; wherein the computing device: receives the bioelectrical impedance signals from the sensors; determines a calibration coefficient based on the bioelectrical impedance signals and demographic information of the patient; calibrates the bioelectrical impedance signals; analyzes the calibrated bioelectrical impedance signals; based on the analyzed signals, calculates the early warning score; and compares the early warning score to predetermined limits and, if the score is outside the limits, triggers the at least one alarm or actuates or modifies a treatment or medical intervention.
2. The early warning scoring system of claim 1, wherein the computing device provides an assessment of minute ventilation, tidal volume, and/or respiratory rate of the patient based on the bioelectrical impedance signal.
3. The early warning scoring system of claim 2, wherein the EWS calculation includes at least one of the minute ventilation, tidal volume, and/or respiratory rate of the patient.
4. The early warning scoring system of claim 2, wherein the EWS calculation includes minute ventilation and does not include respiratory rate.
5. The early warning scoring system of claim 1, wherein the EWS is indicative of at least one of respiratory failure, sepsis, cardiac failure, congestive heart failure, renal failure, 266388/ over-hydration, pulmonary edema, hyper metabolic state, overexertion, traumatic brain injury, pulmonary embolus, opioid induced respiratory depression, over sedation.
6. The early warning scoring system of claim 1, wherein the sensors obtain patient data relating to at least one of minute ventilation, tidal volume, respiratory rate, oxygen saturation, temperature, blood pressure, pulse or heart rate, blood oxygen levels, and brain activity.
7. The early warning scoring of claim 1, wherein the at least one alarm is at least one of audible or visual.
8. The early warning scoring system of claim 1, wherein at least two sensors are placed on the torso of the patient and a physiological bioelectrical impedance signal is measured transthoracically.
9. The early warning scoring system of claim 1, wherein the computing device further: obtains patient data comprising alertness, voice, pain, and unresponsiveness (AVPU) of the patient; and the EWS calculation includes the patient’s AVPU data.
10. The early warning scoring system of claim 1, wherein the system is non-invasive.
11. The early warning scoring system of claim 1, wherein the EWS calculation includes the patient’s disease state and/or circumstance.
12. The early warning scoring system of claim 1, wherein the EWS calculation includes the patient’s age, demographics, condition, and/or data from the patient’s electronic health records.
13. The early warning scoring system of claim 1, wherein the system is a triage system, a mobilization protocol system, a training protocol system, or an activity and/or nutrition regimen system. 266388/
14. A method of calculating an early warning score (EWS), the method comprising the steps of: coupling a plurality of sensors for acquiring bioelectrical impedance signals to a patient in one or more tetrapolar configurations on the chest of the patient; receiving the bioelectrical impedance signals from the sensors; determining a calibration coefficient based on the bioelectrical impedance signals and demographic information of the patient; calibrating the bioelectrical impedance signals; analyzing the calibrated bioelectrical impedance signals; based on the analyzed signals, calculating the EWS; and comparing the early warning score to predetermined limits and, if the score is outside the limits, triggering at least one alarm or actuating or modifying a treatment or medical intervention.
15. The method of claim 14, wherein the method further provides an assessment of minute ventilation, tidal volume, and/or respiratory rate of the patient based on the bioelectrical impedance signal.
16. The method of claim 15, wherein the EWS calculation includes at least one of the minute ventilation, tidal volume, and/or respiratory rate of the patient.
17. The method of claim 15, wherein the EWS calculation includes minute ventilation and does not include respiratory rate.
18. The method of claim 14, wherein the EWS is indicative of at least one of respiratory failure, sepsis, cardiac failure, congestive heart failure, renal failure, over-hydration, pulmonary edema, hyper metabolic state, overexertion, traumatic brain injury, pulmonary embolus, opioid induced respiratory depression, over sedation.
19. The method of claim 14, wherein the sensors obtain patient data relating to at least one of minute ventilation, tidal volume, respiratory rate, oxygen saturation, temperature, blood pressure, pulse or heart rate, blood oxygen levels, and brain activity. 266388/
20. The method of claim 14, wherein the at least one alarm is at least one of audible or visual.
21. The method of claim 14, wherein at least two sensors are placed on the torso of the patient and a physiological bioelectrical impedance signal is measured transthorasically.
22. The method of claim 14, further comprising: obtaining patient data comprising alertness, voice, pain, and unresponsiveness (AVPU) of the patient, wherein the EWS calculation includes the patient’s AVPU data.
23. The method of claim 14, wherein the method is non-invasive.
24. The method of claim 14, wherein the EWS calculation includes the patient’s disease state and/or circumstance.
25. The method of claim 14, wherein the EWS calculation includes the patient’s age, demographics, condition, and/or data from the patient’s electronic health records.
26. The method of claim 14, wherein the method is a triage method, a mobilization protocol method, a training protocol method, or an activity and/or nutrition regimen method. Webb+Co. Patent Attorneys
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201662416416P | 2016-11-02 | 2016-11-02 | |
| PCT/US2017/059754 WO2018085563A1 (en) | 2016-11-02 | 2017-11-02 | Respiratory early warning scoring systems and methods |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| IL266388A IL266388A (en) | 2019-06-30 |
| IL266388B1 IL266388B1 (en) | 2023-04-01 |
| IL266388B2 true IL266388B2 (en) | 2023-08-01 |
Family
ID=62076278
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL266388A IL266388B2 (en) | 2016-11-02 | 2019-05-01 | Respiratory early warning scoring systems and methods |
Country Status (10)
| Country | Link |
|---|---|
| EP (1) | EP3528694A4 (en) |
| JP (1) | JP2020503085A (en) |
| KR (1) | KR20190071808A (en) |
| CN (1) | CN109996488B (en) |
| AU (1) | AU2017354162A1 (en) |
| BR (1) | BR112019010552A2 (en) |
| CA (1) | CA3042686A1 (en) |
| IL (1) | IL266388B2 (en) |
| MX (1) | MX2019005195A (en) |
| WO (1) | WO2018085563A1 (en) |
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| US10952638B2 (en) | 2015-06-12 | 2021-03-23 | ChroniSense Medical Ltd. | System and method for monitoring respiratory rate and oxygen saturation |
| US10687742B2 (en) | 2015-06-12 | 2020-06-23 | ChroniSense Medical Ltd. | Using invariant factors for pulse oximetry |
| US11464457B2 (en) | 2015-06-12 | 2022-10-11 | ChroniSense Medical Ltd. | Determining an early warning score based on wearable device measurements |
| US11160461B2 (en) | 2015-06-12 | 2021-11-02 | ChroniSense Medical Ltd. | Blood pressure measurement using a wearable device |
| US11712190B2 (en) | 2015-06-12 | 2023-08-01 | ChroniSense Medical Ltd. | Wearable device electrocardiogram |
| US11160459B2 (en) | 2015-06-12 | 2021-11-02 | ChroniSense Medical Ltd. | Monitoring health status of people suffering from chronic diseases |
| US11000235B2 (en) | 2016-03-14 | 2021-05-11 | ChroniSense Medical Ltd. | Monitoring procedure for early warning of cardiac episodes |
| JP6298919B1 (en) * | 2017-06-07 | 2018-03-20 | スマート ビート プロフィッツ リミテッド | Database construction method and database |
| EP3731744B1 (en) * | 2017-12-26 | 2024-05-22 | ChroniSense Medical Ltd. | Determining an early warning score based on wearable device measurements |
| US11759677B2 (en) | 2018-02-16 | 2023-09-19 | University Of Louisville Research Foundation, Inc. | Respiratory training and airway pressure monitoring device |
| US11908581B2 (en) | 2018-04-10 | 2024-02-20 | Hill-Rom Services, Inc. | Patient risk assessment based on data from multiple sources in a healthcare facility |
| US11504071B2 (en) | 2018-04-10 | 2022-11-22 | Hill-Rom Services, Inc. | Patient risk assessment based on data from multiple sources in a healthcare facility |
| CN108931955B (en) * | 2018-08-28 | 2023-12-26 | 康泰医学***（秦皇岛）股份有限公司 | Analog output device for physiological signal |
| US11096582B2 (en) * | 2018-11-20 | 2021-08-24 | Veris Health Inc. | Vascular access devices, systems, and methods for monitoring patient health |
| FR3097424A1 (en) * | 2019-06-18 | 2020-12-25 | Pharma Dom | Non-invasive ventilation trend alert system |
| JP7381363B2 (en) * | 2020-02-21 | 2023-11-15 | フクダ電子株式会社 | Biometric information acquisition device |
| CN111681777B (en) * | 2020-06-05 | 2023-12-19 | 河南省药品评价中心 | Early warning method of potential addiction induced magic medicine based on medical history information |
| DE102020123601A1 (en) * | 2020-09-10 | 2022-03-10 | Löwenstein Medical Technology S.A. | Coordination unit and treatment system |
| CN112669957A (en) * | 2020-11-30 | 2021-04-16 | 四川大学 | Public health safety early warning system based on lung diseases |
| WO2022146860A1 (en) * | 2021-01-04 | 2022-07-07 | Medtronic, Inc. | Detection of infection in a patient |
| US20240081753A1 (en) * | 2021-02-03 | 2024-03-14 | Widex A/S | A method for providing an early warning score by means of a wearable system comprising an ear-worn device |
| CN112998689B (en) * | 2021-02-08 | 2022-01-18 | 南京泓鼎感知技术有限责任公司 | Non-contact multi-person real-time respiration condition evaluation system, device and storage medium |
| KR102567385B1 (en) * | 2021-04-26 | 2023-08-16 | (주) 멕아이씨에스 | Apparatus and method for monitoring anesthesia and sleep based on brainwave |
| KR102565228B1 (en) * | 2021-08-23 | 2023-08-09 | 주식회사 바이랩 | Apparatus and method for measuring cardiopulmonary functions |
| WO2023210538A1 (en) * | 2022-04-26 | 2023-11-02 | ミツフジ株式会社 | Belt and clothing |
| CN114582511B (en) * | 2022-05-07 | 2022-11-15 | 中国人民解放军总医院第八医学中心 | Bronchiectasis acute exacerbation early warning method, device, equipment and medium |
| TWI817809B (en) * | 2022-11-03 | 2023-10-01 | 臺北醫學大學 | Early warning system and method for abnormal event of cardiac |
| CN115862301B (en) * | 2023-02-23 | 2023-05-05 | 深圳市特安电子有限公司 | Remote intelligent communication system for pressure transmitter |
| CN117352165B (en) * | 2023-12-06 | 2024-02-20 | 深圳市健怡康医疗器械科技有限公司 | Postoperative rehabilitation nursing method and system for old people |
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| US6219408B1 (en) * | 1999-05-28 | 2001-04-17 | Paul Kurth | Apparatus and method for simultaneously transmitting biomedical data and human voice over conventional telephone lines |
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| GB201018774D0 (en) | 2010-11-05 | 2010-12-22 | Learning Clinic The Ltd | A system and method for monitoring the health of a hospital patient |
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| CN107427627A (en) * | 2014-11-04 | 2017-12-01 | 呼吸运动公司 | The automation IV administrations and the activation of IV pipe clamps of respiration parameter guiding |
| CN107438399B (en) * | 2015-04-08 | 2021-07-20 | 皇家飞利浦有限公司 | Cardiovascular deterioration early warning score |
-
2017
- 2017-11-02 CA CA3042686A patent/CA3042686A1/en active Pending
- 2017-11-02 MX MX2019005195A patent/MX2019005195A/en unknown
- 2017-11-02 BR BR112019010552A patent/BR112019010552A2/en not_active IP Right Cessation
- 2017-11-02 EP EP17867005.5A patent/EP3528694A4/en active Pending
- 2017-11-02 KR KR1020197015785A patent/KR20190071808A/en not_active Application Discontinuation
- 2017-11-02 JP JP2019523842A patent/JP2020503085A/en active Pending
- 2017-11-02 AU AU2017354162A patent/AU2017354162A1/en not_active Abandoned
- 2017-11-02 CN CN201780068395.0A patent/CN109996488B/en active Active
- 2017-11-02 WO PCT/US2017/059754 patent/WO2018085563A1/en unknown
-
2019
- 2019-05-01 IL IL266388A patent/IL266388B2/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| EP3528694A4 (en) | 2020-10-14 |
| KR20190071808A (en) | 2019-06-24 |
| MX2019005195A (en) | 2019-09-19 |
| IL266388A (en) | 2019-06-30 |
| BR112019010552A2 (en) | 2019-09-17 |
| CN109996488B (en) | 2022-11-01 |
| IL266388B1 (en) | 2023-04-01 |
| AU2017354162A1 (en) | 2019-06-06 |
| JP2020503085A (en) | 2020-01-30 |
| EP3528694A1 (en) | 2019-08-28 |
| WO2018085563A1 (en) | 2018-05-11 |
| CN109996488A (en) | 2019-07-09 |
| CA3042686A1 (en) | 2018-05-11 |
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