Abstract: A system for facilitating a cardiac rhythm disorder diagnosis is provided. A download station is adapted to retrieve cutaneous action potentials of a patient recorded as ECG data. A plot of R-R interval data is generated based on the ECG data and displayed. A presentation of the R-R interval data in the display is changed by identifying a section of the R-R interval data and removing portions of the R-R interval data associated with an earlier recordation time than the R-R interval data in the section and a later recordation time than the R-R interval data in the section. The R-R interval data remaining in the display is provided in greater detail. Report strips are generated from the remaining R-R interval data and classified with a cardiac condition of the patient.

Abstract: Electronic medical records (EMRs) with the results of the monitoring can be stored in a cloud-computing environment. All communications with the cloud-computing environment are performed via a secure connection. Each of the EMRs can be associated with an identifier that is provided with the results of the monitoring data. The EMRs can be created, viewed, and modified using a mobile application. The mobile application can use a scanner in the mobile device on which the application executes to obtain an identifier and uses the identifier to direct actions of the user towards the appropriate EMR. The mobile application can further provide additional user access verification. Alerts can further be provided through the mobile application. The mobile application deletes from the mobile device all information that has been transmitted or received from the cloud-computing environment once the information is no longer used.

Abstract: A system and method for remote ECG data streaming in real-time is provided. A continuous connection is established between a cloud-based server and a physiological monitor. The physiological monitor includes at least two electrodes and is affixed to a chest of a patient or implanted within the patient. ECG data is collected via one or more of the electrodes and encrypted via a wireless interface on the physiological monitor using a secret key stored on the physiological monitor. The encrypted ECG data is transmitted from the cloud-based server and received on a computing device in real-time.

Abstract: A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A download station retrieves cutaneous action potentials of a patient by an ECG monitoring and recording device as ECG data. An R-R interval plot of the ECG data includes heart rates associated with R-R intervals plotted along a y-axis of the plot with respect to time, with time represented by an x-axis. The R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks and each heart rate is associated with each time difference. Runs of the R-R intervals in the plot are identified and each run represents a cardiac event. Cardiac rhythm measurements are automatically calculated and occurrences of different types of the cardiac events are tracked. One or more of the cardiac events and the cardiac rhythm measurements are reported.

Abstract: An ambulatory electrocardiography monitor is provided. The monitor includes a housing adapted to couple to a monitoring patch that includes electrocardiographic electrodes; and electronic circuitry provided within the housing. The electronic circuitry includes an electrocardiographic front end circuit; the microcontroller configured to: execute a power up sequence upon the housing coupling to the patch; after the execution of the power-up sequence, retrieve from the monitoring patch an identifier associated with the patch and a password for accessing results of a physiological monitoring conducted using the patch; read samples of the electrocardiographic signals, buffer the samples of the electrocardiographic signals, compress the buffered samples of the electrocardiographic signals, buffer the compressed samples of the electrocardiographic signals, and write-the buffered samples into a memory in association with the password and the identifier; and the memory electrically interfaced with the microcontroller.

Abstract: A system and method for remote ECG data streaming in real-time is provided. ECG data is encrypted on a physiological monitor placed on a patient via a near-field communication chip on the physiological monitor. A continuous connection is established between the physiological monitor and a cloud-based server via a wireless transceiver on the physiological monitor. The encrypted ECG data is transmitted from the physiological monitor to the cloud-based server. The ECG data is then transmitted from the cloud-based server to a device associated with a medical professional in real-time.

Abstract: A system for secure physiological data acquisition and delivery is provided. The system includes a monitoring patch that includes a flexible backing; a pair of electrocardiographic electrodes included on a contact surface of each end of the flexible backing; a receptacle affixed to a non-contacting surface of the flexible backing and including an electro-mechanical docking interface for interfacing with a monitor recorder; a pair of flexible circuit traces affixed at each end of the flexible backing with each circuit trace connecting one of the electrocardiographic electrodes to the electro-mechanical docking interface; and a circuit operable to store an identifier associated with the patch and an encrypted password necessary to access physiological monitoring data obtained using the patch identified by that identifier, the circuit configured to provide via the electro-mechanical docking interface the password and the identifier to the monitor recorder.

Abstract: A system and method for physiological data classification for use in facilitating diagnosis is provided. A physiological monitor includes a feedback button and physiological data obtained via the physiological monitor is stored in a database. The physiological data is divided into segments and one or more data segments are classified as noise. A determination is made that at least one of the data segments classified as noise includes a marker indicating a press of the feedback button on the physiological monitor. A set of the physiological data including and surrounding the physiological data occurring during the press of the feedback button is identified within the data segment classified as noise. The identified set of physiological data is provided with the data segments classified as valid for analysis.

Abstract: A subcutaneous electrocardiography monitor configured for self-optimizing ECG data compression is provided. ECG waveform characteristics are rarely identical in patients with cardiac disease making this innovation crucial for the long-term data storage and analysis of complex cardiac rhythm disorders. The monitor includes a memory and a micro-controller operable to execute under a micro-programmable control and configured to: obtain a series of electrode voltage values; select one or more of a plurality of compression algorithms for compressing the electrode voltage series; apply one or more of the selected compression algorithms to the electrode voltage series; evaluate a degree of compression of the electrode voltage series achieved using the application of the selected algorithms; apply one or more of the compression algorithms to the compressed electrode voltage series upon the degree of compression not meeting a predefined threshold; and store the compressed electrode voltage series within the memory.

Abstract: A system and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data with the aid of a digital computer are provided. Cutaneous action potentials of a patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks and the associated heart rates in the R-R interval plot.

Abstract: A system and method for neural-network-based atrial fibrillation detection with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns, the classifier implemented by a convolutional neural network. A representation of an ECG signal recorded by one or more ambulatory monitors is received. ECG features in the representation falling within each of the temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. At least one matrix with weights for the patterns are generated. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined.

Abstract: A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A download station retrieves cutaneous action potentials of a patient by an ECG monitoring and recording device as ECG data. An R-R interval plot of the ECG data includes R-R intervals plotted along an x-axis of the plot and heart rates associated with the R-R intervals plotted along a y-axis of the plot. The R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks and each heart rate is associated with each time difference. Runs of the R-R intervals in the plot are identified and each run represents a cardiac event. Cardiac rhythm measurements are automatically calculated and occurrences of different types of the cardiac events are tracked. One or more of the cardiac events and the cardiac rhythm measurements are reported.

Abstract: A system and method for remote ECG data streaming in real-time is provided. ECG data is encrypted on a physiological monitor placed on a patient via a near-field communication chip on the physiological monitor. A continuous connection is established between the physiological monitor and a cloud-based server via a wireless transceiver on the physiological monitor. The encrypted ECG data is transmitted from the physiological monitor to the cloud-based server. The ECG data is then transmitted from the cloud-based server to a device associated with a medical professional in real-time.

Abstract: A system and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders is provided. ECG data is obtained via an electrocardiography monitor shaped for placement on a patient's chest. The ECG data is divided into segments and noise detection analysis is applied to the ECG data segments. A noise classification or a valid classification is assigned to each segment of the ECG data. At least one ECG data segment assigned the noise classification and that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor is identified. The ECG data that corresponds with the patient feedback is removed from the identified ECG data segment with the noise classification. The ECG data segments assigned the noise classification are removed from further analysis.

Abstract: A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. Cutaneous action potentials of a patient are recorded over a set period of time as ECG data and a difference between recording times of successive pairs of R-wave peaks are recorded as R-R intervals. A heart rate is associated with each time difference. An R-R interval plot of the ECG data is generated. A presence of a cardiac event is displayed by presenting a presence of sinus tachycardia or a presence of bradycardia via the R-R interval plot.

Abstract: An electrocardiography monitor configured for self-optimizing ECG data compression is provided. ECG waveform characteristics are rarely identical in patients with cardiac disease making this innovation crucial for the long-term data storage and analysis of complex cardiac rhythm disorders. The monitor includes a memory and a micro-controller operable to execute under a micro-programmable control and configured to: obtain a series of electrode voltage values; select one or more of a plurality of compression algorithms for compressing the electrode voltage series; apply one or more of the selected compression algorithms to the electrode voltage series; evaluate a degree of compression of the electrode voltage series achieved using the application of the selected algorithms; apply one or more of the compression algorithms to the compressed electrode voltage series upon the degree of compression not meeting a predefined threshold; and store the compressed electrode voltage series within the memory.

Abstract: A system and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data with the aid of a digital computer are provided. Cutaneous action potentials of a patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks and the associated heart rates in the R-R interval plot.

Abstract: A system and method for classifier-based atrial fibrillation detection with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns. A representation of an ECG signal recorded by one or more ambulatory monitors is received. ECG features in the representation falling within each of the temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. At least one matrix with weights for the patterns are generated. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined. An action is taken based on one or more of the determinations.

Abstract: A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A download station retrieves cutaneous action potentials of a patient recorded over a time by an ECG device as ECG data. An R-R interval plot of the ECG data includes R-R intervals plotted along an x-axis of the plot and heart rates associated with the R-R intervals plotted along a y-axis. The R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks. Each heart rate is associated with each time difference. One or more portions of the R-R intervals are identified in the plot. Each portion of the R-R intervals includes a cardiac event. Report strips are generated and each includes one portion of the R-R intervals and a portion of the ECG data. The report strips are included in a cardiac report for the patient.

Abstract: A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A plurality of R-wave peaks are identified in a set of ECG data and a difference between recording times of successive pairs of the R-wave peaks are calculated as R-R intervals. A heart rate associated with each time difference is determined. An R-R interval plot of the ECG data is formed. The R-R intervals are plotted along an x-axis of the R-R interval plot and the heart rates associated with the R-R intervals are plotted along a y-axis of the R-R interval plot. A diagnostic composite plot is generated, including the R-R interval plot, a near field view of a portion of the ECG data, and an intermediate field view of a different portion of the ECG data for diagnosis of a cardiac event.