DENOISING ENCODER-DECODER NEURAL NETWORK FOR PAIN RECOGNITION AND OTHER DIAGNOSTIC APPLICATIONS

    公开(公告)号:US20250009307A1

    公开(公告)日:2025-01-09

    申请号:US18765920

    申请日:2024-07-08

    Abstract: A method in an illustrative embodiment comprises obtaining an input data signal for a given individual, generating a noisy version of the input data signal, processing the noisy version of the input data signal in a denoising encoder-decoder neural network to generate a classification for the input data signal, and executing at least one automated action based at least in part on the generated classification. The automated action may comprise, for example, a remedial action, or another type of action. In some embodiments, the input data signal comprises at least one ECG data signal from at least one ECG sensor and/or at least one PPG data signal from at least one PPG sensor, although additional or alternative data signals can be used. The classification for the input data signal in some embodiments comprises, for example, a pain recognition classification providing a pain biomarker for the input data signal.

    Methods and Systems for Heart Monitoring

    公开(公告)号:US20240412834A1

    公开(公告)日:2024-12-12

    申请号:US18738579

    申请日:2024-06-10

    Abstract: A method for heart monitoring includes receiving data corresponding to an electrocardiogram taken by a wearable device and transmitting data corresponding to an interpretation of the electrocardiogram by an interpretation provider. A referral to a medical service provider may be sent in response to the interpretation of the electrocardiogram indicating an irregularity.

    HEART RATE DETECTION DEVICE AND METHOD
    6.
    发明公开

    公开(公告)号:US20240237908A1

    公开(公告)日:2024-07-18

    申请号:US18321883

    申请日:2023-05-23

    CPC classification number: A61B5/0245 A61B5/308 A61B5/352

    Abstract: An embodiment of the invention provides a heart rate detection device. The heart rate detection device may include an electrocardiography (ECG) signal extraction circuit, a detection circuit, a calculation circuit and a filter. The ECG signal extraction circuit obtains an ECG signal. The detection circuit detects a plurality of R-waves in the ECG signal. The calculation circuit uses the first of the R-waves as the initial point from which to calculate the standard deviation of the R-waves in each moving window. The calculation circuit determines whether the standard deviation corresponding to each moving window is larger than the first threshold. The calculation circuit determines whether the number of moving windows whose corresponding standard deviation exceeds the first threshold is larger than a second threshold to generate a determination result. Furthermore, the calculation circuit determines whether to use the filter to filter the ECG signal based on the determination result.

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