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Analysis

1.20220248965SELF-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.

2.20220249002BIOSENSOR 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.

3.20220249022MODULAR 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.

4.20220249167METHOD 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.

5.20220249035CT IMAGING APPARATUS
US 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 17616010 Applicant PLANMECA OY Inventor Kari MALMÉN

The invention relates, in particular, to features of an apparatus applicable for use in the context of dental or medical CT imaging. The apparatus comprises a two longitudinally extending frame parts 11, 21, a support construction 12 for an X-ray source 14 and an image detector 15 and a first driving mechanism 16 arranged to move them about a rotation axis 13. A patient support 18 comprising a patient support surface 184 is mechanically connected to the first of the substantially longitudinally extending frame parts 11, which extends substantially in parallel with the first longitudinally extending frame part 11 and having at, or at the proximity of its two edges 181 which extend in the same direction as the first longitudinally extending frame part 11 i) at least one support element 183 or ii) at least one connecting construction 182 for at least one support element 83, the support element 183 being an accessory designed for a patient to hold on or help the patient to be still during an imaging exposure, or to help keeping a patient be still.

6.202022100821Ein 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

7.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.
8.WO/2022/169808SYSTEMS AND METHODS FOR REAL TIME NONINVASIVE URINE OUTPUT ASSESSMENT
WO 11.08.2022
Int.Class A61B 5/20
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
20Measuring urological functions
Appl.No PCT/US2022/014857 Applicant THORMED INNOVATION LLC Inventor THORESON, Gregory Robert
The present disclosure discloses systems and methods for measuring the bladder volume of a patient. An ultrasound transducer array may be used to transmit electrical pulses and receive the backscattered pulses that can be analyzed to develop a representation of the patient's bladder. The backscattered ultrasound signals may be amplified, converted, and processed by circuitry and computer software to develop an axial position of the anterior and posterior bladder walls. Bladder volume measurements derived from the patient's bladder may then be wirelessly transmitted to a display device for assessment by a healthcare provider. The ultrasound transducer array portion of the device may be held in place between the patient's peritoneum and pubis by an elastic strap or a belt to ensure proper positioning.
9.WO/2022/168428INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE, AND PROGRAM
WO 11.08.2022
Int.Class G06F 3/04815
Appl.No PCT/JP2021/044934 Applicant SONY GROUP CORPORATION Inventor ISHII, Tamotsu
[Problem] To cope with occurrence of inappropriate posture information. [Solution] This information processing method comprises acquiring posture information indicating the posture of a moving object, extracting a feature from the posture information at one time point or a plurality of time points, determining whether or not the extracted feature is included in a set range in a feature space, acquiring a feature included in the set range as a feature to be used on the basis of a determination that the extracted feature is not included in the set range, and generating data indicating a posture or motion by using the feature to be used.
10.202022101928Auf maschinellem Lernen basierendes System zur Erkennung von Brustkrebs mit einem Nahfeld-Mikrowellen-Antennensensor
DE 11.08.2022
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 202022101928 Applicant Chowdhury Manas Ranjan Inventor

Ein auf maschinellem Lernen basierendes System (10) zur Erkennung von Brustkrebs unter Verwendung eines Nahfeld-Mikrowellen- Antennensensors, wobei das System umfasst: einen Mikrowellenantennensensor (1), der zum Senden und Empfangen von Mikrowellensignalen verwendet wird, wobei der Mikrowellenantennensensor (1) so positioniert ist, dass er Mikrowellenenergie in die Brust sendet und die gesendete Mikrowellenenergie empfängt, nachdem das Signal in die Brust gelangt ist; eine Mikrowellenantennensensor-Positionseinstellvorrichtung (2), wobei die Mikrowellenantennensensor-Positionseinstellvorrichtung (2) verwendet wird, um den Mikrowellenantennensensor (1) von einer Position zu einer anderen Position zu bewegen, um den Tumorort auf der Brust zu erfassen; eine Kommunikationseinheit (3), die zur Übermittlung der Informationen vom Mikrowellenantennensensor (1) verwendet wird; und eine zentrale Steuereinheit (4), die so konfiguriert ist, dass sie einen maschinellen Lernalgorithmus verarbeitet, der das Vorhandensein von Werten unterhalb eines Schwellenwerts in dem empfangenen Mikrowellensignal bestimmt, die mit dem Vorhandensein eines Brustkrebses im Brustgewebe in Verbindung stehen. embedded image