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IC:(A61B1/00 OR A61B3/00 OR A61B5/00 OR A61B6/00 OR A61B7/00 OR A61B8/00 OR A61B9/00 OR A61B10/00 OR A61B13/00 OR A61B16/00) AND EN_ALLTXT:(coronavirus OR coronaviruses OR coronaviridae OR coronavirinae OR orthocoronavirus OR orthocoronaviruses OR orthocoronaviridae OR orthocoronavirinae OR betacoronavirus OR betacoronaviruses OR betacoronaviridae OR betacoronavirinae OR sarbecovirus OR sarbecoviruses OR sarbecoviridae OR sarbecovirinae OR "severe acute respiratory syndrome" OR sars OR "2019 ncov" OR covid)

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1.2020102382AN ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR COVID PREVENTION
AU 08.10.2020
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 2020102382 Applicant Bhasin, Narinder Kumar DR Inventor
The present invention relates to an artificial intelligence based system for COVID prevention. The proposed invention incorporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus. The invention has to be deployed at the entry point of the place of human assembly restricts the virus-infected people from entering the premise
2.0002729368METHOD FOR ASSESSING THE SEVERITY OF PNEUMONIA WITH COVID-19 USING AN ULTRASONIC EXAMINATION METHOD
RU 06.08.2020
Int.Class A61B 8/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
8Diagnosis using ultrasonic, sonic or infrasonic waves
08Detecting organic movements or changes, e.g. tumours, cysts, swellings
Appl.No 2020119236 Applicant Inventor Кириллова Маргарита Сергеевна (RU)
FIELD: medicine. SUBSTANCE: invention refers to medicine, namely to radiation diagnostics, and can be used for assessment of pneumonia severity in COVID-19 caused by SARS-CoV-2 virus by means of ultrasonic examination method. That is followed by ultrasonic scanning of the lungs in accordance with 20- or 16-zone protocol, which are presented in Figures 1 and 2, respectively, with location of the sensor along the intercostal space. Differentiating moderate or obvious interstitial changes. Moderate interstitial changes are determined by detecting a thickened uneven pleural line and more than two non-merging B lines, echogenicity of which is lower than echogenicity of pleural line, with maximum thickness of B-lines up to 3 mm at point of deviation from pleural line. Obvious interstitial changes are determined if two or more merging B lines are detected; non-merging B-lines, including single ones, echogenicity of which corresponds to pleural line echogenicity, having thickness of 3 mm and more at point of deviation from pleural line; micro-consolidations; cortical consolidations; extensive consolidations. Obvious interstitial changes are diagnosed both in the presence of one of the changes specified above, and at their various combinations. If observing the obvious interstitial changes in the study areas, the severity of pneumonia in COVID-19 caused by the SARS-CoV-2 virus is determined by formula: S=4n/N, where S is degree of severity, characterized by an area of pulmonary tissue involvement, n is number of zones with detected changes, N is total number of zones, on which there has been conducted an US examination. If the degree of severity is 0≤S<1, the lung involvement parenchyma area is stated to be 25 %. If value 1≤S<2 is obtained, the lung involvement parenchyma area is 25 to 50 %. If value 2≤S<3 is obtained, the area of the lung involvement parenchyma is 50–75 %. If the value S≥3 is obtained, the lung involvement parenchyma area is 75 % or more. EFFECT: method provides a simple and affordable assessment of the severity of pulmonary involvement in patients with pneumonia COVID-19 in pandemics by using an ultrasonic diagnostic technique. 1 cl, 11 dwg, 5 tbl, 5 ex
3.111440898Detection equipment and method for 2019-nCoV
CN 24.07.2020
Int.Class C12Q 1/70
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
70involving virus or bacteriophage
Appl.No 202010269501.5 Applicant TIBET FUDING INDUSTRIAL CO., LTD. Inventor ZHOU JIANJUN
The invention mainly relates to the technical field of medical detection and provides detection equipment and method for 2019-nCoV. A to-be-detected person blows into a container body through a blowing rod, the container body contains 2.5-4.5% (by weight) of a nitric acid solution, as the virus shell of the 2019-nCoV is protein containing a benzene ring structure, after the protein containing thebenzene ring structure and nitric acid are subjected to chemical reaction, suspended solids appear in the nitric acid solution, so that after the to-be-detected person blows, if suspended solids are observed to appear in the nitric acid solution, the to-be-detected person is determined to carry the 2019-nCoV, and whether the to-be-detected person is a carrier of the 2019-nCoV can be quickly judged. The detection equipment and method have the characteristics of rapidness, high efficiency and economy, and can improve the detection efficiency of the 2019-nCoV and reduce the detection cost.
4.2020102250AN ARTIFICIAL INTELLIGENCE AND IOT BASED COVID-19 EARLY WARNING SYSTEM FOR SENIOR CITIZENS
AU 01.10.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 2020102250 Applicant Babu, G. Venkata Suresh DR Inventor
The present invention relates to an artificial intelligence based covid-19 early warning system for senior citizens. In the proposed system, various types of health sensors collect body temperature, heartbeat, respiratory rate, resting pulse oxygen saturation, the partial pressure of oxygen, multiple pulmonary lobes from various body parts of the patients. Then an early warning score (EWS) is derived by comparing the deviation of values with standard benchmark values collected from normal people. If the EWS is high, then an early warning message will be sent as SMS to the respective health care unit along with the details of location, using Wi-Fi module. This Wi-Fi module sends the signals through the IoT technology. Following invention described in detail with the help of figure 1 of sheet 1 which shows block diagram of the proposed system, figure 2 of sheet 2 shows the architecture of the developed system with sensors and communication channels. Figure 1
5.0002735722TECHNOLOGY OF REMOTE MEDICAL REHABILITATION OF PATIENTS WITH CORONAVIRUS INFECTION
RU 06.11.2020
Int.Class G16H 10/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Appl.No 2020127525 Applicant Inventor Фесюн Анатолий Дмитриевич (RU)
FIELD: medicine. SUBSTANCE: invention relates to medicine, medical equipment and rehabilitation using computer technology, innovative electronic developments of distance learning and treatment systems, cloud systems and is based on use of a telemedicine platform for rehabilitation online sessions with patients suffering from or undergoing coronaviral infection in self-isolation mode, for complex improvement of the functions of their respiratory, cardiovascular, motor, digestive, and nervous systems. Remote rehabilitation is performed on a cloud telemedical platform – COVIDREHAB, using a device suitable for unobstructed Internet access and video communication in real time. First, patient leaves online application on platform portal for remote rehabilitation, filling a set of questionnaires, attending physician checks completed questionnaires: health assessment, mMRC (Modified Medical Research Council), SF-36, and determines indications and contra-indications for remote rehabilitation in accordance with information received from patient. If, in the process of filling out the questionnaires, the patient indicates a symptom that is dangerous or critical for life and health, patient immediately receives notification from attending physician on in-person seeking of medical care. According to results of patient filling questionnaires and analyzing available information on patient's condition, attending physician through portal of telemedicine platform opens the patient access to set of medical recommendations in form of links to Internet resources with remote sessions with an instructor of physical therapy (PT), as well as with information materials or video lections, placed on the same portal and relating, in addition to PT, recommendations for nutrition, intestinal microflora recovery and drug-free posttraumatic recovery methods, or in accordance with the patient's condition, sends a message on the need for an in-person visit to the doctor. As rehabilitation measures, patients undergo a distance rehabilitation course for 20 days: 14 days of online sessions with a PT instructor and according to the indications – with a psychologist, in a group or individually, and 6 days of self-study on video lessons. At that, as PT sessions, diaphragmatic breathing is taught to patients in online classes led by an instructor, after which they perform complex exercises of respiratory gymnastics using diaphragmatic breathing under video surveillance of instructor. In the sitting and standing positions, a complex of general strengthening exercises with respiratory exercises elements is performed, including power and aerobic exercises of increasing intensity. After each session, the patients fill the PT activity tolerance questionnaire, according to the results of which either continue this course, or the physician directs them a link to the passage of another PT complex, in accordance with their tolerability. Remote online sessions for 14 days are daily, each consisting of consecutive blocks: first 5 minutes of diaphragmatic breathing, then 40 minutes of PT, including respiratory gymnastics, then patients fill the PT activity tolerance questionnaire and send it through platform portal to attending physician, sessions with psychologist according to indications, consultation of the attending physician on dynamics of the patient's state with making a decision on continuation of the current rehabilitation complex or on the complex replacement in accordance with patient's tolerance. At end of 14th session, the patient refills the set of questionnaires used before the rehabilitation, and sends them through the platform portal to the attending physician to assess the health state dynamics, by results of which the physician directs the patient to the recommendations of the video lessons for independent rehabilitation – continuation or change of PT complexes, respiratory exercises, the corresponding psychological effect, diet, wherein the duration of each video lesson with independent exercise by the patient of the corresponding exercises does not exceed 30 minutes. EFFECT: method provides enlarging the rehabilitation possibilities of the patients with coronavirus infection both physically and psychologically, improving functions of various human body systems within the complex unified rehabilitation program, improving quality of life of patients with the possibility of direct dynamic monitoring of their health in real time; also the method provides accelerated process of recovery after treatment, provides psychological support irrespective of the patient's location, prevention of secondary complications. 3 cl, 1 ex, 6 tbl
6.2020101210AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION
AU 16.07.2020
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No 2020101210 Applicant ANGURAJ, DINESH KUMAR DR Inventor
More than 10 00 000 people were exposed to the novel coronavirus called COVID 19, which is transpired in Wuhan, China, in December 2019 and became a worldwide medical evacuation rapidly. Vigorous medication and enhanced allotment of hospital facilities in pandemic regions are substantial due to the increased rate of infectious disease. Precise and efficient medication helps to segregate the suspected cases to stabilize the spreading of infection. A severe hurdle is the lack of hospital and medical facilities in pandemic regions. COVID-19isan irregular breathing condition triggered by coronavirus infections, so numerous citizens typically wear masks to reduce the threats of being infected during the pandemic period. This invention presents FLIR E6 that uses RGB and thermal cameras for health screening to acquire the facial expressions in video frames. YOLO V3 is suggested for detecting the facial regions such as the forehead part and nostril areas. Based on the detection of the accurate region, the respiration data is extracted from the masked nostril region. Inevitably, the recurrent neural network model called Long Short Term Memory proposes for classifying as infected or healthy people based on respiratory data. This proposal exhibits that the contactless and smart screening test, which exploits the pre-scan process for virally infected people with high accuracy of detection and obtains relatively high performance. AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION Diagram normalperson Fig 1: Data flow diagram
7.2020101336AN EFFICIENT MACHINE LEARNING TECHNIQUE TO TRACK THE COVID PATIENTS ALONG WITH SECONDARY CONTACTS
AU 30.07.2020
Int.Class G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
Appl.No 2020101336 Applicant D, SAISANTHIYA MRS Inventor
An efficient machine learning technique to track the COVID patients along with Primary and secondary contact lists is the proposed invention, which plays a vital role to avoid the spread of this highly contagious disease. Pandemics are bane to the world which will affect the economy and life style of the citizens of any country that is affected. Thus there is a need to automate the process of tracking down the contact list of the COVID patient and monitor the quarantined person 24*7 to check whether the person is violating the isolation rules or not. The invention aims at implementing machine learning and artificial intelligence techniques to statistically analyze the case studies and arriving at conclusions in fraction of time.
8.20200323484METHOD AND SYSTEM FOR SCREENING FOR COVID-19 WITH A VOCAL BIOMARKER
US 15.10.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 16906091 Applicant VOCALIS HEALTH Inventor Daniel ARONOVICH

A computer-based method for screening unknown subjects for COVID-19, including steps of recording at least one voice clip from a screened subject, pre-processing the screened subject voice clip, computing a spectrogram of the pre-processed screened subject voice clip, extracting a feature vector from said screened subject spectrogram, applying a machine learning classifier of a COVID-19 vocal biomarker on the extracted screened subject feature vector thereby receiving a COVID-19 vocal biomarker value, and outputting that the screened subject is COVID-19 positive or COVID-19 negative, based on the COVID-19 vocal biomarker value. The step of extracting the feature vector employs a pre-trained deep convolutional neural network.

9.2020101728Smart COVID Scanner: Portable and Affordable Scanner to Detect COVID-19 Virus
AU 27.08.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 2020101728 Applicant Balusamy, Balamurugan PROF Inventor
The world is facing the situation of an outbreak of the most recent corona virus called COVID-19 that has impacted the entire humanity. So scientists and researchers from diverse backgrounds are continuously working together to fight against this very new type of virus. So there's an urgent need for preventive equipment like sanitizers, masks to prevent individuals from getting infected, as prevention is the only available cure for now. Apart from this, the technology can also help to fight against COVID-19 as nowadays advanced technologies are being used as a critical component in these types of scenarios. The proposed solution is a portable scanner that can detect the COVID-19 virus over any surface or person & warn the user prior to its spreading. The scanner works with micro bio scanner that captures/detects the virus just like electron microscope emits rays for detection of microorganism, in the same way, this bio scanner which is integrated with Al-based system detects the COVID particles and classifies the virus based on the past training about the texture, size, and shape of COVID droplets. This scanner can be a great tool against COVID-19 and can be used in a wide range of applications so as to prevent the further spreading of this deadly virus. Smart COVID Scanner: Portable and affordable scanner to detect COVID-19 virus Diagram Fig 1: Smart COVID Scanner
10.2020102228A SYSTEM FOR DETECTION OF CORONA VIRUS IN HUMAN BODY USING ARTIFICIAL INTELLIGENCE
AU 01.10.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020102228 Applicant Agrawal, Pankaj DR Inventor
The present invention relates to a system for detection of corona virus in human body using artificial intelligence. The proposed can detect likelihood of the Covid-19, measure oxygen saturation and temperature of the patient. Invented system comprises a testing stand which having stethoscopes connected to a microphone to listen and record the respiratory sounds of the patient, a pulse oximeter to measure the oxygen saturation level of the patient, an IR temperature sensor to measure the temperature of the patient and a computer which comprises of a machine learning software to combine and analyse all readings to produce the final result. Following invention described in detail with the help of figure 1A of sheet 1 shows covid-19 diagnostic system with a patient, figure 1B of sheet 1 shows expanded view of covid-19 diagnostic system. Figure 1A