4 results about "Surface electrocardiogram" patented technology

A system and method for guiding medical device placement. The system includes a console, a portable acquisition unit for receiving intracavitary and surface electrocardiogram (ECG) signals, and connection hardware, including a sterile ECG adapter and cable for fluid-filled catheters or a sterile clip cable for guidewires. Processors display real-time ECG waveforms and, in response to user input, capture static snapshots at different insertion depths. These snapshots are displayed chronologically on a graphical user interface, forming a visual trajectory of the device. The system determines the device's location by detecting ECG features from each snapshot and comparing them to predetermined boundaries. A location indication is displayed for each snapshot, providing objective guidance for placement and confirmation.

Systems are provided for detecting potential pacemaker lack of capture in surface electrocardiogram (ECG) signals. In one example, a system includes a plurality of electrodes configured to measure electrical potential generated at a skin of a patient, an electrode monitor configured to generate an ECG signal from the electric potential, an interface, a memory storing instructions, and at least one processor configured to execute the instructions to: obtain a baseline ECG signal of the patient, obtain a current ECG signal of the patient from the electrode monitor, determine, based on the baseline ECG signal and / or the current ECG signal, that the patient has an electronic implant carrying out biventricular pacing, compare, based on the determination, the baseline ECG signal to the current ECG signal of the patient, and indicate, through the interface, a degradation condition of the electronic implant based on the comparing and the determination.

This invention relates to the field of respiratory detection technology and discloses a system and method for assessing myocardial load in obstructive pulmonary disease (OSA) based on multimodal physiological signal fusion. The system comprises: a signal acquisition module that acquires blood oxygen saturation, electrocardiogram (ECG), and chest surface electrocardiogram (CTECG) signals; a window positioning and trimming module that determines candidate windows based on blood oxygen saturation and ECG signals, extracts the trunk vibration component of the CTECG signal to determine trigger points, and extracts an effective excitatory sub-window; a feature extraction module that extracts myocardial mechanical load, ECG ischemic components, and timestamps within the sub-window, and calculates the electromechanical delay decoupling time difference; and an assessment and judgment module that calculates a stress index based on the aforementioned components and time difference, and outputs results with phenotypic classification. This invention utilizes multimodal physiological signal fusion to extract the effective excitatory window and extract electromechanical delay features, achieving objective assessment and phenotypic refinement of OSA myocardial load.

To provide a system and a method for reducing noise of intracardiac electrocardiograms using an autoencoder and for utilizing and refining intracardiac and body surface electrocardiograms using one or more deep learning training loss functions.SOLUTION: A system and a method include a memory storing a processor-executable code for a denoised autoencoder, and one or more processors coupled to the memory. The processors execute the processor-executable code to receive raw signal data comprising signal noise, encode, by the denoised autoencoder, the raw signal data by performing a denoising autoencoder operation to produce a latent representation, and decode, by the denoised autoencoder, the latent representation to produce clean signal data reconstructed without the signal noise.SELECTED DRAWING: Figure 1