公开(公告)号：US20240289878A1

公开(公告)日：2024-08-29

申请号：US18292348

申请日：2022-07-15

Applicant: Han Chul CHOI

Inventor： Han Chul CHOI

IPC: G06Q40/04 ,  A61B5/1455 ,  A61B5/372

CPC classification number: G06Q40/04 ,  A61B5/1455 ,  A61B5/372

Abstract: Provided are: a decision-making method using an artificial intelligence model, a server, and a computer program. A decision-making method using an artificial intelligence model according to various embodiments of the present invention comprises the steps of: acquiring a transaction request for a financial product from a trader; determining a processing mode for the acquired transaction request based on data about the trader, and outputting a transaction signal corresponding to the determined processing mode for the transaction request.

公开(公告)号：US20240268748A1

公开(公告)日：2024-08-15

申请号：US18636234

申请日：2024-04-15

Applicant: Applied Cognition, Inc.

Inventor： Paul Dagum ,  Gregory T.A. Kovacs ,  Laurent B. Giovangrandi ,  Carl J. Weber ,  Joerg C. Student ,  Nathan Whipple ,  Jonathan I. Kaplan

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/372

CPC classification number: A61B5/4088 ,  A61B5/0006 ,  A61B5/0205 ,  A61B5/372 ,  A61B5/418 ,  A61B5/6817 ,  A61B5/7275 ,  A61B2562/166

Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

公开(公告)号：US20240268743A1

公开(公告)日：2024-08-15

申请号：US18439885

申请日：2024-02-13

Applicant: Oliver Hein

Inventor： Oliver Hein

IPC: A61B5/307 ,  A61B5/00 ,  A61B5/279 ,  A61B5/341 ,  A61B5/346 ,  A61B5/347 ,  A61B5/352 ,  A61B5/358 ,  A61B5/36 ,  A61B5/372

CPC classification number: A61B5/307 ,  A61B5/279 ,  A61B5/341 ,  A61B5/346 ,  A61B5/347 ,  A61B5/352 ,  A61B5/358 ,  A61B5/36 ,  A61B5/372 ,  A61B5/7235

Abstract: A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M×N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple Ūt=(U1, . . . , UN)t in a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k−1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

公开(公告)号：US12029576B2

公开(公告)日：2024-07-09

申请号：US17366854

申请日：2021-07-02

Applicant: Advanced Global Clinical Solutions Inc.

Inventor： Kurt E. Hecox

IPC: A61B5/00 ,  A61B5/30 ,  A61B5/316 ,  A61B5/369 ,  A61B5/372 ,  G16H50/20

CPC classification number: A61B5/4094 ,  A61B5/0006 ,  A61B5/002 ,  A61B5/0022 ,  A61B5/30 ,  A61B5/316 ,  A61B5/369 ,  A61B5/372 ,  A61B5/7203 ,  A61B5/742 ,  A61B5/746 ,  G16H50/20 ,  A61B2503/045

Abstract: A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine different types of metrics based on the EEG signal, the different types of metrics indicating non-linear features of the EEG signal. The one or more circuits are configured to determine whether one or more of the different types of metrics exhibit changes over time that meet a predefined level of statistical significance, generate a user interface, the user interface including a real-time trend of the EEG signal and the one or more of the different types of metrics, and cause a user interface device to display the user interface.

公开(公告)号：US20240198798A1

公开(公告)日：2024-06-20

申请号：US18067473

申请日：2022-12-16

Applicant: Toyota Motor Engineering & Manufacturing North America, Inc. ,  University of Connecticut Health Center

Inventor： Hossein Hamidi Shishavan ,  Insoo Kim ,  Mohammad Behzadi ,  Ercan Dede ,  Danny Lohan

IPC: B60K35/00 ,  A61B5/00 ,  A61B5/372 ,  G06N3/0464

CPC classification number: B60K35/00 ,  A61B5/372 ,  A61B5/725 ,  A61B5/7257 ,  A61B5/7267 ,  G06N3/0464 ,  B60K2370/119 ,  B60K2370/149 ,  B60K2370/1529 ,  B60K2370/188

Abstract: A vehicle system includes a controller programmed to display a plurality of icons on a HUD of the vehicle, receive EEG data from a driver of the vehicle, perform a Fast Fourier Transform of the EEG data to obtain an EEG spectrum, input the EEG spectrum into a trained machine learning model, determine which of the plurality of icons the driver is viewing based on an output of the trained machine learning model, and perform one or more vehicle operations based on the output of the trained machine learning model.

公开(公告)号：US11974851B2

公开(公告)日：2024-05-07

申请号：US17816492

申请日：2022-08-01

Applicant: NeuroSteer, Inc.

Inventor： Nathan Intrator

IPC: A61B5/00 ,  A61B5/291 ,  A61B5/316 ,  A61B5/369 ,  A61B5/372 ,  A61B5/375 ,  A61B5/377 ,  A61B5/0205 ,  A61B5/055

CPC classification number: A61B5/291 ,  A61B5/316 ,  A61B5/369 ,  A61B5/375 ,  A61B5/6803 ,  A61B5/726 ,  A61B5/7264 ,  A61B5/0205 ,  A61B5/055 ,  A61B5/4064 ,  A61B5/7246

Abstract: In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to affect the personalized mental state of the individual.

公开(公告)号：US20240130639A1

公开(公告)日：2024-04-25

申请号：US18384492

申请日：2023-10-26

Applicant: THE BIONICS INSTITUTE OF AUSTRALIA

Inventor： Collette McKay ,  Hamish Innes-Brown ,  Mehrnaz Shoushtarian ,  Stefan Weder

IPC: A61B5/12 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/1455 ,  A61B5/346 ,  A61B5/372 ,  A61B5/38

CPC classification number: A61B5/125 ,  A61B5/0075 ,  A61B5/0205 ,  A61B5/14553 ,  A61B5/346 ,  A61B5/372 ,  A61B5/38 ,  A61B5/6803 ,  A61B5/6844 ,  A61B5/7207 ,  A61B5/7235 ,  A61B5/7278 ,  A61B5/021

Abstract: Embodiments generally relate to a method of assessing the hearing of a patient using functional near-infrared spectroscopy (fNIRS). The method comprises receiving at least one response signal from an optode placed on a scalp of the patient, the response signal comprising fNIRS data generated by the optode and relating to an aural stimulation received by the patient; comparing at least one parameter of the at least one response signal to a predetermined parameter value; and determining an auditory response of a patient based on the at least one parameter of the at least one response signal.

公开(公告)号：US20240115168A1

公开(公告)日：2024-04-11

申请号：US18276986

申请日：2022-02-11

Applicant: OHIO STATE INNOVATION FOUNDATION

Inventor： William RIGGS ,  Oliver F. ADUNKA

IPC: A61B5/12 ,  A61B5/00 ,  A61B5/01 ,  A61B5/254 ,  A61B5/256 ,  A61B5/291 ,  A61B5/372 ,  A61B5/38 ,  A61B5/384

CPC classification number: A61B5/125 ,  A61B5/01 ,  A61B5/254 ,  A61B5/256 ,  A61B5/291 ,  A61B5/372 ,  A61B5/38 ,  A61B5/384 ,  A61B5/6803 ,  A61B5/746

Abstract: Example portable devices, systems, and methods for monitoring hearing sensitivity are described herein. An example device includes a wearable member, a stimulator, and a sensor that includes a plurality of electrodes. The stimulator and the sensor are integrated into the wearable member. Additionally, the device includes a controller operably coupled to the stimulator and the sensor, and the controller is configured to deliver a stimulation signal to a subject's ear using the stimulator, and receive an electrophysiological response signal of the subject in response to the stimulation signal. The electrophysiological response signal is recorded by the sensor. Optionally, the controller is integrated into the wearable member.

公开(公告)号：US20240081732A1

公开(公告)日：2024-03-14

申请号：US18465927

申请日：2023-09-12

Applicant: National Taiwan University

Inventor： Phone LIN ,  XIN-XUE LIN

IPC: A61B5/00 ,  A61B5/372

CPC classification number: A61B5/4815 ,  A61B5/372 ,  A61B5/4812 ,  A61B5/7267 ,  A61B5/7275

Abstract: The present invention discloses a method of detecting sleep disorder based on an EEG signal and device of the same. The method and device only need an EEG signal for analysis to determine sleep disorder and abnormal score. Therefore, the method and device may reduce cost of collecting physical information and avoid from uncomfortable feeling of user who wears several sensors.

公开(公告)号：US20240081729A1

公开(公告)日：2024-03-14

申请号：US18262074

申请日：2023-01-19

Applicant: INSTITUT NATIONAL DE LA SANTÉ ET DE LA RECHERCHE MÉDICALE (INSERM) ,  CENTRE HOSPITALIER UNIVERSITAIRE DE POITIERS ,  UNIVERSITE DE POITIERS ,  SOMNO ENGINEERING SAS

Inventor： Xavier DROUOT ,  Maud Nicol DE LA BELLEISSUE

IPC: A61B5/00 ,  A61B5/291 ,  A61B5/372

CPC classification number: A61B5/4812 ,  A61B5/0006 ,  A61B5/291 ,  A61B5/372 ,  A61B5/6889

Abstract: A sleep analyzer, method and system with reduced invasiveness and limited human intervention to monitor sleep in an intensive healthcare unit.