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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)

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1.20210315461Methods of diagnosing and treating viral infections
US 14.10.2021
国際特許分類 (IPC) A61B 5/01
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
01人体部分の温度測定
出願番号 17229185 出願人 Ibrahim Saud Almishari 発明者 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
国際特許分類 (IPC) A61K 33/00
A生活必需品
61医学または獣医学;衛生学
K医薬用,歯科用又は化粧用製剤
33無機活性成分を含有する医薬品製剤
出願番号 16848055 出願人 Ibrahim Saud Almishari 発明者 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
国際特許分類 (IPC) G16H 50/20
G物理学
16特定の用途分野に特に適合した情報通信技術[2018.01]
Hヘルスケアインフォマティクス,すなわち,医療または健康管理データの取扱いまたは処理に特に適合した情報通信技術[2018.01]
50医療診断,医療シミュレーションまたは医療データマイニングに特に適合したICT;伝染病またはパンデミックの検知,監視またはモデル化を行うために特に適合したICT
20コンピュータ使用による診断のためのもの,例.医療エキスパートシステムに基づくもの
出願番号 2020102382 出願人 Bhasin, Narinder Kumar DR 発明者 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
国際特許分類 (IPC) A61B 5/08
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
08呼吸器官評価用の測定用装置
出願番号 2021102333 出願人 G., Pavithra DR 発明者 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
国際特許分類 (IPC) A61B 5/0205
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
02脈拍,心拍,血圧または血流の測定;結合された脈拍/心拍/血圧の測定;他に分類されない心臓血管の状態の評価,例.このグループに分類される技術と心電計との結合を用いるもの;血圧測定用心臓カテーテル
0205心臓血管の状態と人体状態の種々の型の両方を同時に評価するもの,例.心臓と呼吸状態
出願番号 18447121 出願人 Masimo Corporation 発明者 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
国際特許分類 (IPC) A61B 5/00
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
出願番号 16917896 出願人 Boonsieng Benjauthrit 発明者 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
国際特許分類 (IPC) G16H 50/80
G物理学
16特定の用途分野に特に適合した情報通信技術[2018.01]
Hヘルスケアインフォマティクス,すなわち,医療または健康管理データの取扱いまたは処理に特に適合した情報通信技術[2018.01]
50医療診断,医療シミュレーションまたは医療データマイニングに特に適合したICT;伝染病またはパンデミックの検知,監視またはモデル化を行うために特に適合したICT
80伝染病またはパンデミックの検知,監視またはモデル化を行うためのもの,例.インフルエンザ
出願番号 2021103430 出願人 CHABRA, YOGESH DR 発明者 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
国際特許分類 (IPC) A61B 5/08
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
08呼吸器官評価用の測定用装置
出願番号 2020101210 出願人 ANGURAJ, DINESH KUMAR DR 発明者 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
国際特許分類 (IPC) G16H 50/80
G物理学
16特定の用途分野に特に適合した情報通信技術[2018.01]
Hヘルスケアインフォマティクス,すなわち,医療または健康管理データの取扱いまたは処理に特に適合した情報通信技術[2018.01]
50医療診断,医療シミュレーションまたは医療データマイニングに特に適合したICT;伝染病またはパンデミックの検知,監視またはモデル化を行うために特に適合したICT
80伝染病またはパンデミックの検知,監視またはモデル化を行うためのもの,例.インフルエンザ
出願番号 2021104281 出願人 Baghel, Amit 発明者 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
10.2020102250AN ARTIFICIAL INTELLIGENCE AND IOT BASED COVID-19 EARLY WARNING SYSTEM FOR SENIOR CITIZENS
AU 01.10.2020
国際特許分類 (IPC) A61B 5/00
A生活必需品
61医学または獣医学;衛生学
B診断;手術;個人識別
5診断のための検出,測定または記録;個体の識別
出願番号 2020102250 出願人 Babu, G. Venkata Suresh DR 発明者 Babu, G. Venkata Suresh
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