Abstract: Embodiments of the present disclosure utilize DNNs for ECG interpretation, where original ECG waveforms are directly ingested by the DNNs using paired interpretation labels for training, without the need for explicatory feature extraction or rule-based criteria.

Abstract: Embodiments of the present disclosure provide systems and methods for performing an ECG search based on a dual ECG and text embedding model. A text machine learning (ML) model may be trained to generate a text embedding based on a received text representation of an ECG diagnosis. The text ML model may be used to train an ECG encoding ML model to generate an ECG embedding based on received ECG leads data. A database may be populated with a plurality of ECG embeddings, each of the plurality of ECG embeddings generated based on ECG leads data of previously diagnosed ECGs. In response to receiving a query ECG, the ECG ML model may generate a query embedding and a similarity score between the query embedding and each of the plurality of ECG embeddings may be determined. The top K results may be sorted based on similarity score, and may be displayed/visualized.

Abstract: Embodiments of the present disclosure provide an ECG monitoring device that comprises a housing cable comprising a plurality of signal cables positioned therein and a set of electrodes positioned along the housing cable. Each of the set of electrodes may contact a particular location of a user without requiring any muscular activity of the user when the ECG monitoring device is connected to the user. The ECG monitoring device may further comprise a computing device positioned along the housing cable and operatively coupled to each of the four or more electrodes via a respective signal cable of the plurality of signal cables. The computing device may comprise a memory and a processing device operatively coupled to the memory, the processing device to perform, using the four or more electrodes, an electrocardiogram (ECG) of the user.

Abstract: A system and method for evaluating blood flow in a vessel of a patient includes a catheter containing a first pressure sensor and a second pressure sensor and configured to simultaneously measure pressure data within a vessel on either side of a stenosis. Pressure data generated by the catheter includes a first series of pressure measurements from the first pressure sensor a second series of pressure measurements from the second pressure sensor. The system and method further includes a fractional flow reserve (FFR) calculation module executable on one or more processors and configured to calculate a stability index for each of two or more portions of the pressure data, wherein each stability index indicates at least one of heart rate stability and catheter stability for the respective portion of the pressure data. An optimal time window is identified based on the stability indexes for calculation of FFR based on the pressure data.

Abstract: Embodiments of the present disclosure provide a small form factor ECG monitoring device that can acquire 3 standard ECG leads including a V-lead, does not require the use of adhesives for electrodes, and provides ECG data for a user on a near instantaneous basis. The ECG monitoring device can acquire leads I, II, and V2 (or any other V lead). The addition of a V-lead not only provides an additional channel of ECG data, but also adds another orthogonal cardiac field plane (the horizontal plane) thanks to the reference point formed by leads I and II. The ECG monitoring device may derive the augmented limb leads and subsequently generate a full 12-lead ECG. The ECG monitoring device may generate one or more diagnoses based on the full 12-lead set. The ECG monitoring device may provide an easy and non-invasive way for a person to take an ECG on the fly.

Abstract: A system for evaluating blood flow in a vessel of a patient includes a catheter containing a first pressure sensor and a second pressure sensor and configured to simultaneously measure pressure data within a vessel on either side of a stenosis. Pressure data generated by the catheter includes a first series of pressure measurements from the first pressure sensor a second series of pressure measurements from the second pressure sensor. The system further includes an FFR calculation module executable on one or more processors and configured to calculate a stability index for each of two or more portions of the pressure data, wherein each stability index indicates at least one of heart rate stability and catheter stability for the respective portion of the pressure data. An optimal time window is identified based on the stability indexes for calculation of fractional flow reserve (FFR) based on the pressure data. An FFR value is then calculated based on the pressure data in the optimal time window.

Abstract: An apparatus includes an electrocardiograph device having first, second, and third, electrode assemblies with first, second, and third electrodes adapted to measure first, second, and third electrical signals of an individual, respectively. The apparatus further includes a processing device to: determine a Lead I from the first electrical signal and the second electrical signal; determine a Lead II from the second electrical signal and the third electrical signal; generate a Lead III using (Lead III=Lead II?Lead I); determine, using a machine learning model trained using measured twelve-lead ECG data, Leads aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 based on Lead I, Lead II, and Lead III; and provide Leads Lead I, Lead II, Lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 for display on a client device.

Abstract: A system for processing ECG recordings from multiple patients includes a preprocessing database containing unprocessed ECG records from multiple patients, a reporting database containing processed ECG records from multiple patients, a processor, and a triage module executable on the processor to assess each of the unprocessed ECG recordings from the multiple patients. The triage module is executable to detect a presence or absence of one or more known abnormalities and determines at least one abnormality identifier based on the detected known abnormality. One or more abnormality groups are then identified based on the abnormality identifiers. A normal group of ECG recordings from multiple patients is then identified from those ECG recordings that are not in the abnormality group. The normal group of ECG recordings is then stored in the reporting database then associated a normal identifier.

Abstract: A system for evaluating blood flow in a vessel of a patient includes a catheter containing a first pressure sensor and a second pressure sensor and configured to simultaneously measure pressure data within a vessel on either side of a stenosis. Pressure data generated by the catheter includes a first series of pressure measurements from the first pressure sensor a second series of pressure measurements from the second pressure sensor. The system further includes an FFR calculation module executable on one or more processors and configured to calculate a stability index for each of two or more portions of the pressure data, wherein each stability index indicates at least one of heart rate stability and catheter stability for the respective portion of the pressure data. An optimal time window is identified based on the stability indexes for calculation of fractional flow reserve (FFR) based on the pressure data. An FFR value is then calculated based on the pressure data in the optimal time window.

Abstract: A system for processing ECG recordings from multiple patients includes a preprocessing database containing unprocessed ECG records from multiple patients, a reporting database containing processed ECG records from multiple patients, a processor, and a triage module executable on the processor to assess each of the unprocessed ECG recordings from the multiple patients. The triage module is executable to detect a presence or absence of one or more known abnormalities and determines at least one abnormality identifier based on the detected known abnormality. One or more abnormality groups are then identified based on the abnormality identifiers. A normal group of ECG recordings from multiple patients is then identified from those ECG recordings that are not in the abnormality group. The normal group of ECG recordings is then stored in the reporting database then associated a normal identifier.

Abstract: A system for modeling electrical activity of an anatomical structure. The system includes a database that is configured to store cell set data corresponding to a group of cells of the anatomical structure. The cell set data includes a cell model that represents electrical activity of the group of cells. The cell model has a model parameter that relates to ion channels in the cells. The electrical activity represented by the cell model is at least partially based upon the model parameter. The system also includes a user interface that is configured to accept user inputs to change the model parameter and thereby change the electrical activity represented by the cell model to form a reconfigured cell model. The system also includes a display that is configured to display the user inputs and a processor that is configured to determine the electrical activity of the anatomical structure using the reconfigured cell model.

Abstract: A method and apparatus for analyzing characteristics of ECG signal data having a succession of waveforms produced by the beating of the heart. ECG signal data is obtained from a patient. A depolarization feature and a second feature of the waveforms of the ECG signal data are determined. Waveforms of the ECG signal data having a stable heart rate are selected for use in determining the second feature. Waveforms selected are those having minimum depolarization feature standard deviation and minimum depolarization feature dispersion. The depolarization feature and second feature for the heart beats of the selected waveforms are displayed.

Abstract: A method and apparatus for processing electrocardiographic signals of a patient. The apparatus comprises ten or fewer electrodes connected to a patient at least one of the standard twelve lead ECG electrode positions. The apparatus further comprises a plurality of ECG interpretation algorithms, each of the algorithms specifically tailored for analyzing a twelve lead ECG comprising both measured and derived ECG leads. The method of the present invention comprises determining whether an ECG lead is measured or derived and selecting an ECG interpretation algorithm based upon this determination.

Abstract: In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Abstract: A system and a method for analysis of ECG curvature, which system involves a mathematical analysis comprising the following features where a number of different parameters are isolated and stored in a computer, where a first number of parameters are selected from at least one main group, where the selected parameters are combined in at least a first mathematical analysis. It is the object of the invention to improve mathematical analysis of ECG curvature particular for complex parts of the curvature such as notches or concavities. This can be achieved by selecting parameters from groups of symmetry, flatness, duration and/or complexity, using the parameters as input to an algorithm, where concavity intervals are evaluated on subsegments of the ECG segment and form the basis of up and downwards concavity quantification, where the system based on an algorithm detects and quantifies concavity on ECG curvatures.

Abstract: A system and method of presenting physiological data in a component ring. The method includes receiving a plurality of leads of physiological data. Morphology features are extracted from the plurality of leads. The morphology features are graphed by presenting a component ring associated with each of the morphology features. The system includes at least two sensors configured to collect physiological data. A processor is configured to extract amplitudes of morphology features. A graphical user interface is configured to graphically display the morphology features in a plurality of component rings.

Abstract: A system for modeling electrical activity of an anatomical structure. The system includes a database that is configured to store cell set data corresponding to a group of cells of the anatomical structure. The cell set data includes a cell model that represents electrical activity of the group of cells. The cell model has a model parameter that relates to ion channels in the cells. The electrical activity represented by the cell model is at least partially based upon the model parameter. The system also includes a user interface that is configured to accept user inputs to change the model parameter and thereby change the electrical activity represented by the cell model to form a reconfigured cell model. The system also includes a display that is configured to display the user inputs and a processor that is configured to determine the electrical activity of the anatomical structure using the reconfigured cell model.

Abstract: Method and apparatus for determining alternans data of an ECG signal. The method can include determining at least one value representing at least one morphology feature of each beat of the ECG signal and generating a set of data points based on a total quantity of values and a total quantity of beats. The method can also include separating the data points into a first group of points and a second group of points and generating a feature map by plotting the first group of points and the second group of points in order to assess an alternans pattern of variation. The feature map can be analyzed by statistical tests to determine the significance difference between groups and clusters.

Abstract: A method and apparatus for processing electrocardiographic signals of a patient. The apparatus comprises ten or fewer electrodes connected to a patient at least one of the standard twelve lead ECG electrode positions. The apparatus further comprises a plurality of ECG interpretation algorithms, each of the algorithms specifically tailored for analyzing a twelve lead ECG comprising both measured and derived ECG leads. The method of the present invention comprises determining whether an ECG lead is measured or derived and selecting an ECG interpretation algorithm based upon this determination.