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1.20220253979INFORMATION PROCESSING SYSTEM, ENDOSCOPE SYSTEM, AND INFORMATION STORAGE MEDIUM
US 11.08.2022
Int.Class G06T 3/40
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
3Geometric image transformation in the plane of the image
40Scaling of a whole image or part thereof
Appl.No 17731627 Applicant OLYMPUS CORPORATION Inventor Sunao KIKUCHI

An information processing system includes a processor. The trained model is trained to resolution recover a low resolution training image generated by low resolution processing performed on a high resolution training image to a high resolution training image that represents a high resolution image captured with a predetermined object through the first imaging system. The low resolution processing represents processing that generates a low resolution image as if captured with the predetermined object through the second imaging system and processing that simulates the second imaging method, and includes processing that simulates a resolution characteristic of an optical system of the second imaging system. The processor uses the trained model to resolution recover the processing target image captured through a second imaging system to an image having a resolution at which the first imaging system performs imaging.

2.20220248965SELF-CALIBRATING GLUCOSE MONITOR
US 11.08.2022
Int.Class A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
02Measuring 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; Heart catheters for measuring blood pressure
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Appl.No 17168761 Applicant Medtronic, Inc. Inventor Richard J. O'Brien

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

3.20220249002BIOSENSOR EXCITATION METHODS, AND ASSOCIATED SYSTEMS, DEVICES, AND METHODS
US 11.08.2022
Int.Class A61B 5/279
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
25Bioelectric electrodes therefor
279specially adapted for particular uses
Appl.No 17667530 Applicant INFORMED DATA SYSTEMS INC. d/b/a ONE DROP Inventor Matthew Chapman

Systems and methods for operating a biosensor are disclosed herein. In some embodiments, the biosensor is configured to access a user's interstitial fluid to determine the concentration of one or more analytes of interest. The method can include applying an excitation voltage to a working electrode of biosensor. The excitation voltage can be a time-varying waveform, such as a square waveform. The method can further include measuring a signal generated by the biosensor and analyzing the signal to determine one or more parameters of the biosensor and/or surrounding environment.

4.20220249022MODULAR PHYSIOLOGIC MONITORING SYSTEMS, KITS, AND METHODS
US 11.08.2022
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 17728479 Applicant LifeLens Technologies, Inc. Inventor Landy Toth

Systems, devices, methods, and kits for monitoring one or more physiologic and/or physical signals from a subject are disclosed. A system including patches and corresponding modules for wirelessly monitoring physiologic and/or physical signals is disclosed. A service system for managing the collection of physiologic data from a customer is disclosed. An isolating patch for providing a barrier between a handheld monitoring device with a plurality of contact pads and a subject is disclosed.

5.20220249062ULTRASOUND IMAGING APPARATUS AND ULTRASOUND IMAGING METHOD
US 11.08.2022
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 17575716 Applicant FUJIFILM Healthcare Corporation Inventor Hiroki TANAKA

An image having high resolution in the short axis direction is obtained with a simple configuration. A first transmit aperture, and a second transmit aperture whose aperture size in the short axis direction is larger than the first transmit aperture, are sequentially set in a probe where transducers are arranged in each of the long axis direction and the short axis direction, and the first transmission beam and the second transmission beam are transmitted therefrom respectively. These transmissions generate the first received beam signal and the second received beam signal which are weighted in the depth direction and synthesized. In the first region with a shallow depth, the weight of the first received beam signal is increased, whereas in the second region deeper than the first region, the weight of the second received beam signal is increased.

6.20220249167METHOD OF IDENTIFYING A SURGICALLY OPERABLE TARGET ZONE IN AN EPILEPTIC PATIENT'S BRAIN
US 11.08.2022
Int.Class A61B 34/10
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
34Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
10Computer-aided planning, simulation or modelling of surgical operations
Appl.No 17614450 Applicant UNIVERSITÉ D'AIX-MARSEILLE (AMU) Inventor Sora An

The method of identifying a potentially surgically operable target zone in an epileptic patient's brain includes: providing a computerized platform modelling various zones of a primate brain and connectivity between said zones; providing a model of an epileptogenic zone and a model of the propagation of an epileptic discharge from an epileptic zone to a propagation zone; obtaining a patient's personalized computerized platform; deriving the potential target zones based on modularity analysis; evaluating the target zones' effectiveness by simulating epileptic seizures propagation in the personalized patient's computerized platform; evaluating the target zones' safety by simulating spatiotemporal brain activation patterns in a defined state condition and comparing the simulated spatiotemporal brain activation patterns obtained before removal of the target zone with the spatiotemporal brain activation patterns obtained after removal of the target zone; identifying the target zones which satisfy both effectiveness and safety evaluation criteria as potentially surgically operable target zones.

7.202022100821Ein auf maschinellem Lernen basierendes System zur medizinischen Diagnose von COVID-19 anhand klinischer und labortechnischer Marker
DE 11.08.2022
Int.Class G16H 50/30
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
30for calculating health indices; for individual health risk assessment
Appl.No 202022100821 Applicant Chadaga Krishnaraj Inventor

Ein auf maschinellem Lernen basierendes System zur Durchführung einer medizinischen Diagnose von COVID-19 unter Verwendung von klinischen und Labormarkern, wobei das System umfasst: eine Vorverarbeitungseinheit zum Bereinigen der erhaltenen Datensätze durch Entfernen der redundanten Zeilen und Spalten, wobei die Spalten und Zeilen, die Nullwerte enthalten, entfernt werden und der Datensatz getrimmt wird, und wobei nach der Vorverarbeitung der Datensatz 20 Spalten enthält und die fehlenden Daten mit dem Mittelwert der entsprechenden Spalten imputiert werden; eine Merkmalsverarbeitungseinheit zum Durchführen einer Korrelationsanalyse und zum Bewerten der Merkmalsbedeutung, wobei die Korrelation zwischen den Attributen und dem Etikett unter Verwendung des Pearson-Korrelationskoeffizienten (PCC) bewertet wird und die Merkmalsbedeutung unter Verwendung von Random Forest und der Shapley-Additiv-Erklärungsmethode (SHAP) bewertet wird; eine SMOTE-Verarbeitungseinheit zur Durchführung einer Überabtastung des erhaltenen bereinigten Datensatzes zur Verbesserung der Unausgewogenheit desselben unter Verwendung der SMOTE-Technik (Synthetic Minority Over-sampling Technique), wobei die SMOTE-Technik synthetisierte Daten unter Verwendung eines K-Nearest-Neighbor-Verfahrens erzeugt; eine Klassifizierungseinheit zur Vorhersage von Covid-19 unter Verwendung verschiedener Klassifizierer, nämlich Random Forest, Logistische Regression, K-Nächster Nachbar und Extreme Gradient Boost (XGboost); und eine Gittersuch-Verarbeitungseinheit zur Optimierung des Systems unter Verwendung einer Gittersuch-Hyperparameter-Abstimmungstechnik, bei der die besten Hyperparameterwerte berechnet werden. embedded image

8.WO/2022/166988PET DYNAMIC SCANNING METHOD AND APPARATUS, AND COMPUTER DEVICE
WO 11.08.2022
Int.Class A61B 6/03
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
03Computerised tomographs
Appl.No PCT/CN2022/075536 Applicant SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. Inventor LIU, Shitao
Disclosed are a PET dynamic scanning method and apparatus, and a computer device. The method comprises: performing PET scanning on a target area of an object to be scanned, so as to acquire first PET scanning data, wherein the first PET scanning data comprises a single event count received by a PET detector (S101); determining the single event count distribution of the target area according to the first PET scanning data (S102); adjusting the position of a scanning bed according to the single event count distribution (S103); and performing PET scanning on said object according to the adjusted position of the scanning bed (S104). By means of the method, the position of a scanning bed and a change in a tracer in an object to be scanned are dynamically associated, such that more precise scanning data can be acquired.
9.WO/2022/168953CARTILAGE DEGENERATION ANALYSIS DEVICE, DEVICE FOR DIAGNOSING OR AIDING DIAGNOSIS WHICH CONTAINS SAME, METHOD FOR DETERMINING DEGREE OF DEGENERATION OF CARTILAGE, AND METHOD FOR EVALUATING DRUG EFFICACY OF TEST SUBSTANCE
WO 11.08.2022
Int.Class A61B 10/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
10Other methods or instruments for diagnosis, e.g. for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
Appl.No PCT/JP2022/004512 Applicant NATIONAL UNIVERSITY CORPORATION TOKYO MEDICAL AND DENTAL UNIVERSITY Inventor ITAKA Keiji
Provided is an analysis device for detecting an early stage of cartilage degeneration caused by osteoarthritis or the like. One aspect of the present invention pertains to a cartilage degeneration analysis device which has a processing unit which includes an indicator calculation unit configured so as to calculate a value which expresses at least one indicator from a group of indicators comprising (a) collagen secondary structure, (b) collagen hydration level, (c) glycosaminoglycan composition and total amount, and (d) protein glycosylation level and glycosaminoglycan total amount, on the basis of a Raman spectrum obtained by Raman spectroscopy in which the cartilage of an imaging subject is irradiated with excitation light.
10.WO/2022/169748LOW LUMINANCE MOBILITY TEST
WO 11.08.2022
Int.Class A61B 3/02
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
3Apparatus for testing the eyes; Instruments for examining the eyes
02Subjective types, i.e. testing apparatus requiring the active assistance of the patient
Appl.No PCT/US2022/014704 Applicant JCYTE, INC. Inventor KAMMER, Rebecca
The present disclosure relates to systems and methods for testing functional vision of a subject. The systems and methods utilize a plurality of obstacle courses, a plurality of contrast levels of the obstacle courses, a plurality of illumination levels, video-recording, and a robust scoring algorithm to assess the mobility of the subject.