Procesando

Espere un momento...

Join our LinkedIn PATENTSCOPE users Community Group
Configuración

Configuración

Ir a una solicitud

Oficinas all Idiomas Separación automática de palabras en lexemas true Miembro de una familia de patentes simple true Incluir la LDP false
La fuente RSS solo puede generarse si tiene una cuenta OMPI.

Guardar consulta

Únicamente podrá ver una consulta privada cuando está conectado, y no podrá usarse en fuentes RSS

Arborescencia de consulta

Afinar opciones

Oficinas
Todo
Especificar el idioma de búsqueda de las palabras clave utilizadas
La función "separación automática de palabras en lexemas" sirve para buscar el lexema de las palabras con desinencia.
Por ejemplo, solo se tiene en cuenta el lexema de las palabras fotografiar, fotografiado,fotografía, y fotógrafo, esto es,fotograf
. Así, pues, al buscar fotografiar se encuentran todas las variantes posibles
Generar solamente un miembro de una familia de patentes
Incluir la literatura distinta de la de patentes (LDP) en los resultados

Consulta completa

IC:A61B5/01 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)

Ver teclas de acceso rápido en dos columnas

General
Ir al espacio Buscar
CTRL + SHIFT +
Ir a Resultados (registro seleccionado)
CTRL + SHIFT +
Ir a Detalle (pestaña seleccionada)
CTRL + SHIFT +
Ir a Página siguiente
CTRL +
Ir a Pagina anterior
CTRL +
Resultados (Primero, "Ir a Resultados")
Ir a Siguiente registro / imagen
/
Ir a Registro o Imagen anterior
/
Desplazar hacia arriba
Page Up
Desplazar hacia abajo
Page Down
Desplazar al inicio
CTRL + Home
Desplazar hasta el final
CTRL + End
Detalle (Primero, "Ir a Detalle"
Ir a Siguiente pestaña
Ir a Pestaña anterior

Análisis

1.20210315461Methods of diagnosing and treating viral infections
US 14.10.2021
Clasificación Internacional A61B 5/01
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
BDIAGNOSTICO; CIRUGIA; IDENTIFICACION
5Medidas encaminadas a establecer un diagnóstico; Identificación de individuos
01Medida de la temperatura de zonas corporales
Nº de solicitud 17229185 Solicitante Ibrahim Saud Almishari Inventor/a Ibrahim Saud Almishari

Diagnosing and treating viral infections. One example is a method of diagnosing absence of severe acute respiratory syndrome 2 (SARS-CoV-2), the method including: isolating a human in a covid-free environment for an isolation period; performing measurements of a core temperature during the isolation period; and if each of the measurements of the core temperature indicate a lack of fever, declaring the human free of SARS-CoV-2. Another example is a method including treating coronavirus in a human by: receiving a core temperature measurement; receiving a test result regarding the SARS-CoV-2 virus; responsive to the human having both fever and the presence of the SARS-CoV-2 virus, submerging the trunk and the legs of the human in water with a surfactant, and the human at least partially submerged for a treatment period of at least three hours; and controlling a temperature of the water during the treatment period.

2.20210315925Methods of treating viral infections
US 14.10.2021
Clasificación Internacional A61K 33/00
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
KPREPARACIONES DE USO MEDICO, DENTAL O PARA EL ASEO
33Preparaciones medicinales que contienen ingredientes activos inorgánicos
Nº de solicitud 16848055 Solicitante Ibrahim Saud Almishari Inventor/a Ibrahim Saud Almishari

Methods of treating viral infections. At least one example embodiment is a method including: measuring a core temperature of a human patient; testing the human for the presence of a virus that causes disease; responsive to the human having both fever and presence of the virus, submerging at least a trunk and legs of the human in water comprising a surfactant, the human at least partially submerged in the water for a treatment period of at least three hours; and controlling a temperature of the water during the treatment period.

3.2020102382AN ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR COVID PREVENTION
AU 08.10.2020
Clasificación Internacional G16H 50/20
GFISICA
16TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ESPECIALMENTE ADAPTADAS PARA ÁREAS DE APLICACIÓN ESPECÍFICAS
HINFORMÁTICA PARA LA ATENCIÓN SANITARIA, p. ej. TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ADAPTADAS ESPECIALMENTE AL TRATAMIENTO O AL PROCESAMIENTO DE DATOS MÉDICOS O DEL SISTEMA SANITARIO
50TIC especialmente adaptadas para el diágnostico médico, la simulación médica o la minería de datos médicos; TIC especialmente adaptadas para la detección, monitorización o modelación de las epidemias o de las pandemias
20para el diagnóstico asistido por ordenador, p.ej. basado en los sistemas expertos médicos
Nº de solicitud 2020102382 Solicitante Bhasin, Narinder Kumar DR Inventor/a Bhasin, Narinder Kumar
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
4.2021102333AN UTILIZATION OF ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR PREVENTING COVID EFFECT ON HUMAN BODY
AU 20.05.2021
Clasificación Internacional A61B 5/08
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
BDIAGNOSTICO; CIRUGIA; IDENTIFICACION
5Medidas encaminadas a establecer un diagnóstico; Identificación de individuos
08Dispositivos de medida para la evaluación de los órganos respiratorios
Nº de solicitud 2021102333 Solicitante G., Pavithra DR Inventor/a G., Pavithra
AN UTILIZATION OF ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR PREVENTING COVID EFFECT ON HUMAN BODY The present invention relates to a utilization of artificial intelligence based system for preventing covid effect on human body. 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
5.20230380701REMOTE PATIENT MANAGEMENT AND MONITORING SYSTEMS AND METHODS
US 30.11.2023
Clasificación Internacional A61B 5/0205
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
BDIAGNOSTICO; CIRUGIA; IDENTIFICACION
5Medidas encaminadas a establecer un diagnóstico; Identificación de individuos
02Medida del pulso, del ritmo cardiaco, de la presión o del flujo sanguíneo; Determinación combinada del pulso, del ritmo cardiaco y de la presión sanguínea; Evaluación de un estado cardiovascular no previsto en otro lugar, p. ej. utilizando la combinación de las técnicas previstas en el presente grupo con electrocardiografía; Sondas cardiacas para medir la presión sanguínea
0205Evaluación simultánea del estado cardiovascular y del estado de otras partes del cuerpo, p. ej. del estado cardiaco y respiratorio
Nº de solicitud 18447121 Solicitante Masimo Corporation Inventor/a Omar Ahmed

Systems and methods are provided for remote patient management and monitoring. The patient is monitored with a wireless sensor system connected to an application executing on a patient user computing device. The system continuously monitors physiological parameters, such as, but not limited to, blood oxygen saturation (SpO2), pulse rate, perfusion index, pleth variability index, and/or respiration rate from the photoplethysmograph. The system triggers alarms if the patient physiological data violates thresholds. Care providers review patient data and associated alarm(s) with graphical user interfaces.

6.10888283COVID-19 symptoms alert machine (CSAM) scanners
US 12.01.2021
Clasificación Internacional A61B 5/00
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
BDIAGNOSTICO; CIRUGIA; IDENTIFICACION
5Medidas encaminadas a establecer un diagnóstico; Identificación de individuos
Nº de solicitud 16917896 Solicitante Boonsieng Benjauthrit Inventor/a Boonsieng Benjauthrit

A COVID-19 Symptoms Alert Machine (CSAM) scanner, or apparatus, is described herein. This apparatus employs Artificial Intelligent (AI) technology in combination with the latest mobile device technology (viz. smart phone/smart watch) to quickly help track down people who have COVID-19 symptoms anywhere and anytime, isolate them, and professionally handle them, not allowing SARS-CoV-2 virus to spread. CSAM automatically measures body temperature and assesses lung conditions such as pulmonary fibrosis and B-lines (for asymptomatic people), and other current health vital information (CHVI), furnished by the participant, such as fever, sore throat, headache, and body ache to generate an alert signal when COVID-19 symptoms are found significant and to send it out to a COVID-19 control center. The alerted participant is then immediately required to go to the COVID-19 control center or be picked up by a special COVID-19 emergency vehicle for isolation and further evaluation and testing. If the testing turns out to be COVID-19 positive, the participant will be quarantined and treated appropriately according to COVID-19 protocol until he/she is tested COVID-19 negative. In the meantime, people who have been in close physical contact with this participant will be alerted and requested to be immediately checked for COVID-19 symptoms. If anyone is found to have COVID-19 symptoms, then he/she must go through the same protocol. The process is repeated until all people in the cluster are tested COVID-19 negative. This will ensure that SARS-CoV-2 virus for this cluster has been completely eliminated. A rapid deployment of this type of apparatus throughout communities where people tend to congregate such as superstores, supermarkets, and any other establishments, small or large, can help to contain the rapid spread of the disease, as well as to give more confidence to the general public. People, who pass through this apparatus without an alert signal, should feel more confident in carrying out their activities, though social distancing and other COVID-19 precautionary requirements should still be maintained. The concept can be further expanded to cover shopping malls, concert halls, sports arenas, and any other large events including highways and freeways with the help of mobile phone technologies, transponders, and other mobile devices. By working on the 0.6% (around 2 million infected people in the US as of June 2020) quickly and effectively, instead of on the 99.4% (330 million, the remaining population) by locking people at home and closing down all businesses and activities; we can save a significant amount of money and hassles. (A long lockdown can also lead to a collapse of our economy and can consequently lead to a worldwide calamity.) In this way the 99.4% will not be burdened with the virus problem and can live normally without having to take any test. It is probably the only effective approach in solving the COVID-19 problem at the moment because vaccines and known COVID-19 cures are not yet available. Even if SARS-CoV-2 vaccines are available presently, they may not be practical to implement economically and operationally in time to contain the virus worldwide due to the massive amount of people (viz. over 7 billion).

7.2021103430SYSTEM AND METHOD FOR DETECTING COVID AFFECTED PERSON FOR AVOIDING VIRUS TRANSMISSION AND MAINTAINING COVID-GUIDELINES
AU 22.07.2021
Clasificación Internacional G16H 50/80
GFISICA
16TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ESPECIALMENTE ADAPTADAS PARA ÁREAS DE APLICACIÓN ESPECÍFICAS
HINFORMÁTICA PARA LA ATENCIÓN SANITARIA, p. ej. TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ADAPTADAS ESPECIALMENTE AL TRATAMIENTO O AL PROCESAMIENTO DE DATOS MÉDICOS O DEL SISTEMA SANITARIO
50TIC especialmente adaptadas para el diágnostico médico, la simulación médica o la minería de datos médicos; TIC especialmente adaptadas para la detección, monitorización o modelación de las epidemias o de las pandemias
80para detectar, monitorizar o modelizar las epidemias o las pandemias, p. ej. la gripe
Nº de solicitud 2021103430 Solicitante CHABRA, YOGESH DR Inventor/a CHABRA, YOGESH
The present invention generally relates to a system and method for detecting covid affected person for avoiding virus transmission and maintaining covid guidelines. The method comprises detecting whether an entity is wearing mask or not by employing a face recognition module
8.2020101210AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION
AU 16.07.2020
Clasificación Internacional A61B 5/08
ANECESIDADES CORRIENTES DE LA VIDA
61CIENCIAS MEDICAS O VETERINARIAS; HIGIENE
BDIAGNOSTICO; CIRUGIA; IDENTIFICACION
5Medidas encaminadas a establecer un diagnóstico; Identificación de individuos
08Dispositivos de medida para la evaluación de los órganos respiratorios
Nº de solicitud 2020101210 Solicitante ANGURAJ, DINESH KUMAR DR Inventor/a ANGURAJ, DINESH KUMAR
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
9.2021104281A smart wearable device for early detection and identification of COVID-19 cases.
AU 19.08.2021
Clasificación Internacional G16H 50/80
GFISICA
16TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ESPECIALMENTE ADAPTADAS PARA ÁREAS DE APLICACIÓN ESPECÍFICAS
HINFORMÁTICA PARA LA ATENCIÓN SANITARIA, p. ej. TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ADAPTADAS ESPECIALMENTE AL TRATAMIENTO O AL PROCESAMIENTO DE DATOS MÉDICOS O DEL SISTEMA SANITARIO
50TIC especialmente adaptadas para el diágnostico médico, la simulación médica o la minería de datos médicos; TIC especialmente adaptadas para la detección, monitorización o modelación de las epidemias o de las pandemias
80para detectar, monitorizar o modelizar las epidemias o las pandemias, p. ej. la gripe
Nº de solicitud 2021104281 Solicitante Baghel, Amit Inventor/a Baghel, Amit
[1] The world has been facing the challenge of COVID-19 since the end of 2019. It is expected that the world will need to battle the COVID-19 pandemic with precautious measures, until an effective vaccine is developed. [2] This work proposes a real-time COVID-19 detection and identification system. The proposed system would employ an Internet of Things (IoTs) framework to collect real time symptom data from users to early identify suspected coronaviruses cases, to monitor the treatment response of those who have already recovered from the virus, and to understand the nature of the virus by collecting and analyzing relevant data. [3] The framework consists of five main components: Symptom Data Collection and Uploading (using wearable sensors), Quarantine/Isolation Center, Data Analysis Center (that uses machine learning algorithms), Health Physicians, and Cloud Infra-structure. To quickly identify potential coronaviruses cases from this real-time symptom data, using machine learning algorithms. An experiment was conducted to test this system on a real COVID-19 symptom dataset, after selecting the relevant symptoms. la. Collection of Relevant Symptoms through 2a. Identification and Predictions of suspected 3a. Monitor Devices, such as Fever, Cough, Fatigue cases through executing machine learning F and Review Suspected Cases. Wearable Sore Throat, and Shortness of Breath. In addition algorithm, such as SVM, Neural Network, to user information such as Travel and Contact. Naive Bayes, K-Star, Decision Table, and __________________________________Decision Stump. S ymptom Data Collection and Uploading if t d Figure 1: Deep learning based system for detection of covid-19 disease of patient at infection risk
10.20220108803METHOD FOR COVID-19 DETECTION TO SPREAD PREVENTION AND MEDICAL ASSISTANCE USING MACHINE LEARNING
US 07.04.2022
Clasificación Internacional G16H 50/20
GFISICA
16TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ESPECIALMENTE ADAPTADAS PARA ÁREAS DE APLICACIÓN ESPECÍFICAS
HINFORMÁTICA PARA LA ATENCIÓN SANITARIA, p. ej. TECNOLOGÍAS DE LA INFORMACIÓN Y DE LA COMUNICACIÓN ADAPTADAS ESPECIALMENTE AL TRATAMIENTO O AL PROCESAMIENTO DE DATOS MÉDICOS O DEL SISTEMA SANITARIO
50TIC especialmente adaptadas para el diágnostico médico, la simulación médica o la minería de datos médicos; TIC especialmente adaptadas para la detección, monitorización o modelación de las epidemias o de las pandemias
20para el diagnóstico asistido por ordenador, p.ej. basado en los sistemas expertos médicos
Nº de solicitud 17551376 Solicitante Gaurav Indra Inventor/a Gaurav Indra

The present disclosure generally relates to a method for COVID-19 detection for spread prevention and medical assistance using machine learning comprises pre-processing a CT image set for removing noise using HU values; performing a region-based segmentation using a three-dimensional convolutional neural network model; classifying each segmented region by employing a classification model; and comparing classified segmented region with a dataset for detecting COVID-19 using a machine learning approach thereby generating an alert about the COVID-19 positive person.