Feedback
Settings

Settings

Goto Application

68,869 results
Offices all Languages en Stemming true Single Family Member false Include NPL false
RSS feed can only be generated if you have a WIPO account

Save query

A private query is only visible to you when you are logged-in and can not be used in RSS feeds

Query Tree

Refine Options

Offices
All
Specify the language of your search keywords
Stemming reduces inflected words to their stem or root form.
For example the words fishing, fished,fish, and fisher are reduced to the root word,fish,
so a search for fisher returns all the different variations
Returns only one member of a family of patents
Include Non-Patent literature in results

Full Query

AIapplicationfieldLifeAndMedicalSciencesPhysiologicalParametersMonitoring

Side-by-side view shortcuts

General
Go to Search input
CTRL + SHIFT +
Go to Results (selected record)
CTRL + SHIFT +
Go to Detail (selected tab)
CTRL + SHIFT +
Go to Next page
CTRL +
Go to Previous page
CTRL +
Results (First, do 'Go to Results')
Go to Next record / image
/
Go to Previous record / image
/
Scroll Up
Page Up
Scroll Down
Page Down
Scroll to Top
CTRL + Home
Scroll to Bottom
CTRL + End
Detail (First, do 'Go to Detail')
Go to Next tab
Go to Previous tab

Analysis

1 / 6,887
1.20230200746SYSTEM FOR ACQUISITION AND ANALYSIS OF MATERNAL AND/OR FETAL PHYSIOLOGICAL SIGNALS
US - 29.06.2023
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
 Appl.No 18145562 Applicant Marani Health, Inc. Inventor Ann Holder

A system includes a wearable device configured to be worn by a pregnant patient and including a plurality of electrodes, the wearable device configured to sense a first patient data associated with the patient and her fetus, a second device configured to sense a second patient data associated with the patient and her fetus, and a computing device configured to obtain the first and second patient data. The computing device is also configured to identify first features of a maternal or a fetal heart rate signal determined from the first patient data and to identify second features of a maternal or a fetal biometric signal determined from the second patient data, and to determine, based on applying the first and second features as inputs to a machine learning model, predicted outcomes associated with the patient, and to generate reports including an indication of the predicted outcomes for display.

2.20220054850WEARABLE CARDIOVERTER DEFIBRILLATOR CARE SYSTEM WITH HEALTH AND EMOTIONAL COMPANION ACCESSORY
US - 24.02.2022
Int.Class A61N 1/39
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
1Electrotherapy; Circuits therefor
18Applying electric currents by contact electrodes
32alternating or intermittent currents
38for producing shock effects
39Heart defibrillators
 Appl.No 17246510 Applicant West Affum Holdings Corp. Inventor Traci Umberger

A wearable cardioverter defibrillator system supported with a customizable, goal-oriented, companion device. Functionality can be tailored to the goal for a user type. For a patient, the companion device can improve compliance with wear or prescription. Goals can include emotional support, or a specific health, including activity, support. The goal-oriented companion device can receive and process information using machine learning techniques, and interface with a user and other systems and devices.

3.20220180975METHODS AND SYSTEMS FOR DETERMINING GENE EXPRESSION PROFILES AND CELL IDENTITIES FROM MULTI-OMIC IMAGING DATA
US - 09.06.2022
Int.Class G16B 40/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
30Unsupervised data analysis
 Appl.No 17553691 Applicant The Broad Institute, Inc. Inventor Aviv Regev

The present disclosure relates to systems and method of determining transcriptomic profile from omics imaging data. The systems and methods train machine learning methods with intrinsic and extrinsic features of a cell and/or tissue to define transcriptomic profiles of the cell and/or tissue. Applicants utilize a convolutional autoencoder to define cell subtypes from images of the cells.

4.WO/2022/155555SYSTEMS AND METHODS FOR DERIVING HEALTH INDICATORS FROM USER-GENERATED CONTENT
WO - 21.07.2022
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 PCT/US2022/012645 Applicant MY LUA LLC Inventor CONWARD, Michael
The present disclosure relates to systems and methods for generating priority lists and/or predictions or identifications of root causes of acute or chronic conditions. In one exemplary embodiment, a method comprises aggregating data corresponding to a plurality of individuals, the data comprising, for each individual, user-generated content and/or biometric data; generating, from a machine learning model that utilizes the aggregated user-generated content and/or biometric data as input, one or more of a priority list for the plurality of individuals, or, for each individual, a prediction, diagnosis, or identification of one or more root causes of one or more acute or chronic conditions of the individual.
5.WO/2023/214957MACHINE LEARNING MODELS FOR ESTIMATING PHYSIOLOGICAL BIOMARKERS
WO - 09.11.2023
Int.Class A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
 Appl.No PCT/US2022/027267 Applicant ELITE HRV, INC. Inventor KORDARI, Kamiar
The systems, devices and methods provided for in the present disclosure are directed to measuring and tracking biomarker data. Data can be acquired using one or more sensors that determines vitals such as heart rate, HRV, blood pressure, oxygen levels, CO2 levels, glucose levels, ketone levels, general awareness or alertness, stress, reflex time, resilience, training, body temperature, or related capacity or capability, or a combination of the foregoing. The one or more sensors can include a finger-over-camera sensor that can measure vital signs from contact with the finger of a user and/or a face-over-camera sensor that can measure biomarkers via the camera feature of the smartphone, and/or a standalone camera, including those in loT devices. The sensors can communicate with a smartphone application that can be toggled to take measurements of predetermined biomarkers at desired intervals, and the data from each sensor can be combined to build a user profile.
6.20250204794COGNITIVE COMPUTING-BASED SYSTEM AND METHOD FOR NON-INVASIVE ANALYSIS OF PHYSIOLOGICAL INDICATORS USING ASSISTED TRANSDERMAL OPTICAL IMAGING
US - 26.06.2025
Int.Class A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
 Appl.No 18986931 Applicant Aarogya Tech Inc. Inventor Amit Kumar Gupta

A cognitive computing-based system and a method for non-invasive analysis of one or more physiological indicators using assisted transdermal optical imaging are disclosed. The cognitive computing-based system is configured to obtain multi-modal data from a plurality of sources to preprocess the multi-modal data that includes colored image data, thermal image data, physiological data, and user-provided contextual data. The preprocessed data is used for generating one or more multi-modal features. The cognitive computing-based system is configured to generate unified features representation data for machine learning (ML) models analysis using the extracted one or more multi-modal features. Further, the cognitive computing-based system is configured to perform non-invasive analysis on the unified features representation data to detect temporal trends in the unified features representation data, and generate numerical predictive insights, visual representations data, categorical predictive insights, and recommendation data of the physiological indicators based on the non-invasive analysis of the physiological indicators.

7.20170035327User identification via motion and heartbeat waveform data
US - 09.02.2017
Int.Class G06F 21/32
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
30Authentication, i.e. establishing the identity or authorisation of security principals
31User authentication
32using biometric data, e.g. fingerprints, iris scans or voiceprints
 Appl.No 15231627 Applicant Fitbit, Inc. Inventor Shelten Gee Jao Yuen

The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

8.20230196567SYSTEMS, DEVICES, AND METHODS FOR VITAL SIGN MONITORING
US - 22.06.2023
Int.Class G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
 Appl.No 18068463 Applicant Hospital on Mobile, Inc. Inventor Tamay AYKUT

Devices, systems, and methods herein relate to non-invasive monitoring of a patient. These systems and methods may receive one or more image signals corresponding to a skin of the patient, process the one or more image signals using a first machine learning model, and predict a physiological parameter based on the processed one or more image signals using a second machine learning model.

9.20220202373SYSTEMS AND METHODS OF USING MACHINE LEARNING TO DETECT AND PREDICT EMERGENCE OF AGITATION BASED ON SYMPATHETIC NERVOUS SYSTEM ACTIVITIES
US - 30.06.2022
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
 Appl.No 17698407 Applicant BioXcel Therapeutics, Inc. Inventor Frank D. YOCCA

In some embodiments, a method includes receiving first physiological data of sympathetic nervous system activity and establishing a baseline value of at least one physiological parameter by training at least one machine learning model using the first physiological data. The method further includes receiving, from a first monitoring device attached to a subject, second physiological data of sympathetic nervous system activity in the subject. Using the at least one machine learning model and based on the baseline value of at least one physiological parameter, the method includes analyzing the second physiological data to predict an agitation episode of the subject and sending a signal to a second monitoring device to notify of the prediction of the agitation episode of the subject such that treatment can be provided to the subject to decrease sympathetic nervous system activity in the subject.

10.20130197322Patient monitoring appliance
US - 01.08.2013
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
 Appl.No 13794396 Applicant Tran Bao Inventor Tran Bao

A wireless system for a person includes a wearable appliance monitoring one or more body parameters; a plurality of wireless nodes in communication with the wearable appliance; and a remote computer coupled to the wireless nodes to provide information to an authorized remote user.

# -