公开(公告)号：US11627906B2

公开(公告)日：2023-04-18

申请号：US16605726

申请日：2018-04-17

申请人： CEDARS-SINAI MEDICAL CENTER

发明人： Sumeet S. Chugh

IPC分类号： A61B5/366 ,  G16H20/40 ,  G16H50/30 ,  G16H50/70 ,  G16H50/20 ,  A61B5/353 ,  A61B5/271 ,  A61B5/36 ,  A61B5/02 ,  A61B5/024 ,  A61B5/00

摘要： A system and a method for identifying a patient with a threshold number of distinct ECG abnormalities. The system and the method include an ECG monitoring device; a server; a database; a network; a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for identifying patients with a threshold number of distinct ECG abnormalities; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: receive an ECG data output from the ECG monitoring device; process the ECG data output to identify abnormalities in the ECG data; and analyze the abnormalities in the ECG data in order to output an indication of whether the patient has depressed LVEF, wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to the network via communication links.

公开(公告)号：US20220248965A1

公开(公告)日：2022-08-11

申请号：US17168761

申请日：2021-02-05

申请人： Medtronic, Inc.

发明人： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC分类号： A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/352 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20

摘要： 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.

公开(公告)号：US20220175301A1

公开(公告)日：2022-06-09

申请号：US17426199

申请日：2020-01-28

申请人： PRIMAX MEDICA SP. Z O.O.

发明人： Jerzy Stanislaw Janicki ,  Lukasz Jerzy Janicki

IPC分类号： A61B5/366 ,  A61B5/30 ,  A61B5/36 ,  A61B5/358

摘要： The object of the invention is a method for determining electrical activity of cardiac muscle, characterised in that the resultant electric potential (Vwyp) forming the QRS complex in the electrocardiogram obtained during the ECG test is decomposed into partial potentials corresponding to the depolarization of specific areas (i) of the left ventricular muscle (MS).

公开(公告)号：US20210401349A1

公开(公告)日：2021-12-30

申请号：US17357701

申请日：2021-06-24

申请人： AliveCor, Inc.

发明人： Matthew Schram

IPC分类号： A61B5/36 ,  A61B5/00 ,  A61B5/271

摘要： Embodiments of the present disclosure provide a mobile electrocardiogram (ECG) sensor comprising an electrode assembly comprising electrodes, wherein the electrode assembly senses heart-related signals when in contact with a body of a user, and produces electrical signals representing the sensed heart-related signals. The ECG sensor further comprises a processing device, operatively coupled to the electrode assembly, the processing device to provide the sensed heart-related signals to a machine learning module trained to predict a twelve-lead QT interval (QTc) value from the mobile ECG sensor comprising less than twelve leads. The ECG sensor also comprises a housing containing the electrode assembly and the processing device.

公开(公告)号：US20210219904A1

公开(公告)日：2021-07-22

申请号：US17109498

申请日：2020-12-02

申请人： BIOSENSE WEBSTER (ISRAEL) LTD.

发明人： Jonathan Yarnitsky ,  Elad Nakar ,  Lior Greenbaum ,  Goren Cohn ,  Amiram Ben Dor

IPC分类号： A61B5/35 ,  A61B5/36 ,  A61B5/339 ,  A61B5/367

摘要： In one embodiment, a medical system includes respective electrodes for application to a body of a subject and to output a set of respective activation signals in response to electrical activity of a heart of the subject captured over a sequence of heartbeat intervals, and a processor to classify a first heartbeat interval of the set of activation signals as a first morphological template, compute a measure of similarity between a second heartbeat interval of the set of activation signals and the first morphological template, group the second heartbeat interval of the set of activation signals in a first morphological group with the first morphological template responsively to the measure exceeding a predefined threshold, and classify the second heartbeat interval of the set of activation signals as a second morphological template responsively to the measure not exceeding the predefined threshold, and repeat the above, mutatis mutandis, for subsequent heartbeat intervals.

公开(公告)号：US11607140B2

公开(公告)日：2023-03-21

申请号：US17168761

申请日：2021-02-05

申请人： Medtronic, Inc.

发明人： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC分类号： A61B5/02 ,  A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20 ,  A61B5/352 ,  A61B5/024

摘要： 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.

公开(公告)号：US11497432B2

公开(公告)日：2022-11-15

申请号：US17856391

申请日：2022-07-01

申请人： iRhythm Technologies, Inc.

发明人： Steven Szabados ,  Yuriko Tamura ,  Xixi Wang ,  George Mathew

IPC分类号： A61B5/36 ,  A61B5/361 ,  A61B5/259 ,  A61B5/363 ,  A61B5/352 ,  A61B5/00 ,  A61B5/28 ,  A61B5/257 ,  A61B5/11 ,  G06F21/62

摘要： Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

公开(公告)号：US11419539B2

公开(公告)日：2022-08-23

申请号：US16229160

申请日：2018-12-21

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA ,  ALLINA HEALTH SYSTEM

发明人： Antonia E. Schaefer ,  Alan J. Bank ,  Ryan M. Gage ,  Kevin V. Burns

IPC分类号： A61B5/36 ,  A61B5/366 ,  A61B5/00 ,  A61B5/352

摘要： The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

公开(公告)号：US20220218257A1

公开(公告)日：2022-07-14

申请号：US17572300

申请日：2022-01-10

申请人： Oliver Hein

发明人： Oliver Hein

IPC分类号： A61B5/307 ,  A61B5/352 ,  A61B5/358 ,  A61B5/36 ,  A61B5/347 ,  A61B5/279

摘要： 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：US20220202343A1

公开(公告)日：2022-06-30

申请号：US17233573

申请日：2021-04-19

申请人： National Health Research Institutes ,  Chang Gung Memorial Hospital, Keelung ,  Acer Healthcare Inc. ,  Acer Incorporated

发明人： Jun-Hong Chen ,  Chun-Hsien Li ,  Yun-Hsuan Chan ,  Ting-Fen Tsai ,  Chi-Hsiao Yeh

IPC分类号： A61B5/352 ,  A61B5/36 ,  A61B5/353 ,  G06N20/00 ,  G16H30/20

摘要： An electronic device and a method for selecting a feature of an electrocardiogram (ECG) are provided. The method includes: obtaining the ECG; performing a first pre-processing on the ECG to generate a first ECG; marking multiple extreme points corresponding to at least one type of wave on the first ECG; calculating a first feature value corresponding to a first feature according to the multiple extreme points of the at least one type of wave, generating a first performance index corresponding to a machine learning model according to the first feature value, and determining whether to select the first feature according to the first performance index; and outputting the first feature in response to selecting the first feature.