METHOD FOR DETECTING A CARDIAC ISOLATION STATUS OF A MEASUREMENT LOCATION IN THE PRESENCE OF FAR FIELD INTERFERENCE

    公开(公告)号:WO2023020843A1

    公开(公告)日:2023-02-23

    申请号:PCT/EP2022/071843

    申请日:2022-08-03

    Applicant: CATHVISION APS

    Abstract: The invention concerns a method for determining a cardiac isolation status of a measurement location (1) in the presence of far field interference by analysing a multi-channel intracardiac electrogram (2) of the measurement location (1) via a control system (3), wherein in an identification routine (9) the control system (3) applies an activation search algorithm to analysis windows (10) of at least 400 ms in at least two different channels (11) of the intracardiac electrogram (2), wherein the activation search algorithm identifies windows (W) of local activation potentials (12) inside of the analysis windows (10), wherein in a classification routine (15) the control system (3) analyses the local activation potentials (12) to determine the cardiac isolation status of the measurement location (1).

    DETERMINING A FALL RISK RESPONSIVE TO DETECTING BODY POSITION MOVEMENTS

    公开(公告)号:WO2022026195A1

    公开(公告)日:2022-02-03

    申请号:PCT/US2021/041742

    申请日:2021-07-15

    Abstract: This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes a medical device comprising a set of sensors. Additionally, the medical device system includes processing circuitry configured to identify, based on at least one signal of the set of signals, a time of an event corresponding to the patient and set a time window based on the time of the event. Additionally, the processing circuitry is configured to save, to a fall risk database in a memory, a set of data including one or more signals of the set of signals so that the fall risk database may be analyzed in order to determine a fall risk score corresponding to the patient, wherein the set of data corresponds to the time window.

    COMPUTER DEVICE FOR REAL-TIME ANALYSIS OF ELECTROGRAMS

    公开(公告)号:WO2022171638A1

    公开(公告)日:2022-08-18

    申请号:PCT/EP2022/053048

    申请日:2022-02-08

    Applicant: SUBSTRATE HD

    Abstract: A computer device for real-time analysis of electrograms, comprising a memory arranged to receive real-time electrograms signals each originating from one of a plurality of electrodes, a first evaluator comprising an extractor and a gradient boosting based machine learning module, said extractor being arranged to extract a set of features comprising at least one timewise analysis feature and at least one morphological feature from each electrogram signal within a set of electrogram signals, and to feed the resulting sets of features to said gradient boosting based machine learning module trained on data comprising sets of features labelled with a value indicating whether the associated electrogram signal exhibits dispersion and arranged to output for each set of electrogram.

    생체 정보의 획득을 위한 방법 및 그 전자 장치

    公开(公告)号:WO2022039489A1

    公开(公告)日:2022-02-24

    申请号:PCT/KR2021/010944

    申请日:2021-08-18

    Inventor: 정현준

    Abstract: 맥파(pulse wave) 정보를 획득하도록 설정된 제1 생체 센서, 생체 전기 신호를 이용하여 생체 정보를 획득하도록 설정된 제2 생체 센서, 프로세서, 및 메모리를 포함하는 전자 장치가 개시된다. 상기 메모리는 실행 시에 상기 프로세서가, 상기 제1 생체 센서를 이용하여 상기 맥파 정보를 획득하고, 상기 맥파 정보의 획득 중에, 상기 제2 생체 센서를 이용하여 복수의 맥파에 대응하는 상기 생체 정보를 획득하고, 상기 맥파 정보의 피크 값들을 이용하여 상기 생체 정보를 프로세싱함으로써 상기 생체 정보로부터 일 맥파에 대응하는 템플릿을 획득하도록 하는 인스트럭션들을 저장할 수 있다.

    METHODS AND SYSTEMS FOR DETECTING ECG ANOMALIES

    公开(公告)号:WO2022087349A1

    公开(公告)日:2022-04-28

    申请号:PCT/US2021/056167

    申请日:2021-10-22

    Abstract: Methods, apparatus and systems for robust and accurate detection of anomalies in medical images and electrocardiograms are disclosed. One example system for training a neural network engine includes a processor that is configured to receive a set of training electrocardiogram signals. At least one electrocardiogram signal in the set of training electrocardiogram signals is associated with metadata identifying a region of interest that includes a heart anomaly. The processor is configured to input the set of training electrocardiogram signals into the neural network engine. The neural network engine is trained using an objective function having a first regularization parameter and a second regularization parameter. The processor is also configured to operate the neural network engine to identify the heart anomaly by classifying the set of training electrocardiogram signals and adjust the neural network engine based on the identified heart anomaly and the metadata.

    HIS-PURKINJE SYSTEM CAPTURE DETECTION
    10.
    发明申请

    公开(公告)号:WO2023089415A1

    公开(公告)日:2023-05-25

    申请号:PCT/IB2022/060249

    申请日:2022-10-25

    Abstract: A medical device is configured to receive a cardiac signal and determine a morphology matching score from the cardiac signal and a capture detection morphology template that corresponds to a first type of cardiac pacing capture that includes capture of at least a first portion of the His-Purkinje system. The device is configured to detect a second type of cardiac pacing capture in response to the morphology matching score being less than the first match threshold. The second type of cardiac pacing capture is different than the first type of cardiac pacing capture and may include capture of the ventricular myocardium and/or a second portion of the His-Purkinje system different than the first portion.

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