Physiological monitoring can be provided through a lightweight wearable monitor that includes two components, a flexible extended wear electrode patch and a reusable monitor recorder that removably snaps into a receptacle on the electrode patch. The wearable monitor sits centrally (in the midline) on the patient's chest along the sternum oriented top-to-bottom. The placement of the wearable monitor in a location at the sternal midline, with its unique narrow hourglass-like shape, significantly improves the ability of the wearable monitor to cutaneously sense cardiac electrical potential signals, particularly the P-wave and, to a lesser extent, the QRS interval signals indicating ventricular activity in the ECG waveforms. Additionally, the monitor recorder includes an ECG sensing circuit that measures raw cutaneous electrical signals and performs signal processing prior to outputting the processed signals for sampling and storage.

An ECG monitoring system for ambulatory patients includes a small multi-electrode patch that adhesively attaches to the chest of a patient. A reusable battery-powered ECG monitor clips onto the patch and receives patient electrical signals from the electrodes of the patch. A processor continuously processes received ECG signals and stores the signals in memory in the monitor. The processor also analyzes the received ECG signals for predefined arrhythmia. If an arrhythmia is detected, a wireless transceiver in the ECG monitor transmits the event information and an ECG strip to a cellphone handset. The cellphone handset automatically relays the event information and ECG strip to a monitoring center for further diagnosis and necessary intervention.

Cardiac activity (e.g., a cardiac electrogram) is analyzed for local abnormal ventricular activity (LAVA), such as by using a LAVA detection and analysis module incorporated into an electroanatomical mapping system. The module transforms the electrogram signal into the wavelet domain to compute as scalogram; computes a one-dimensional LAVA function of the scalogram; detects one or more peaks in the LAVA function; and computes a peak-to-peak amplitude of the electrogram signal. If the peak-to-peak amplitude does not exceed a preset amplitude threshold, then the module can compute one or more of a LAVA lateness parameter for the electrogram signal using one of the one or more peaks detected in the LAVA function and a LAVA probability parameter for the electrogram signal.

An extended wear electrocardiography and physiological sensor monitor is provided. An electrode patch includes an integrated flexible circuit having a single piece of material that includes a longitudinal midsection between upper and lower ends and a mirror image shape of the upper end extending from at least a portion of one side of the upper end that runs substantially parallel to the midsection and folds over the upper end. A receptacle is adhered on an outward surface of the mirror image when the integrated circuit is folded over the upper end. One electrode is positioned on a contact surface of the integrated circuit on the upper end and another electrode is positioned on the contact surface on the lower end. A battery is directly adhered to the outward surface of the mirror image and positioned under the receptacle. A monitor is configured to be removably secured in the receptacle.

The invention relates to a system for measuring, classifying and displaying electrical cardiac activity, characterized in that it comprises a device for acquiring, processing and conditioning electrical cardiac signals, which is formed by: a signal acquisition module comprising more than two sensors for measuring electrical cardiac activity, the sensors being designed to be put on the phalanges of the fingers of a user's hand to measure cardiac electrical activity; a signal-conditioning module; a processing and logical control module; a module for feeding back to the user; a connectivity module; and a power source module, wherein the apparatus is configured to connect to a local network that includes any technological assembly such as smartphones, tablets and computers, with the possibility of connecting to the Internet or at least to a server/client with the ability to store and process information and optimize operational algorithms of the apparatus, the apparatus being integrated in such a way that it can be carried and used in the user's hand.

Device and methods for a wearable medical device are disclosed. The device and methods use an on-board mobile system to alert emergency services when the user is in cardiovascular distress. The device takes advantage of newly miniaturized electrocardiograph, pulse oximetry sensors, mutual reinforcement and anomaly detection algorithms. Electrocardiograph waveforms are recorded digitally for physician review with emphasis on critical events. In the occurrence of a immediate critical-need cardiac event, the system will contact emergency services (EMS) for assistance. The system is a biometric monitoring system that implements key concepts of cardiovascular monitoring through pulse oximetry and electrocardiography (ECG). The system implements key concepts of ECGs and active/capacitive electrodes to produce a wireless network of (individually isolated) ECG nodes that can produce a system ranging from 3 to 16 leads.

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.

A system includes an ambulatory medical device and a server. The ambulatory medical device comprises: a digital signal processing module configured to: detect an abnormal rhythm from an electrocardiogram (ECG) signal of a patient using a first signal processing routine; and generate a first flag indicating an abnormal rhythm is detected; and a noise detector module configured to: receive the ECG signal from the digital signal processing module; execute a second signal processing routine to classify the abnormal rhythm as one of an arrhythmia event and a noise event; and, if the abnormal rhythm is classified as a noise event, initiate a preconfirmation period during which the noise detector module continues to evaluate the abnormal rhythm and classify the abnormal rhythm as one of an arrhythmia event and a noise event using the second signal processing routine; and generate a second flag indicating the start of the preconfirmation period; and a server configured to: receive the ECG signal, the first flag indicating the abnormal rhythm, and the second flag indicating the start of the preconfirmation period; and provide a visual indication of the preconfirmation period.

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.

An apparatus includes a sensing circuit configured to generate a sensed physiological signal representative of cardiac activity of a subject, and an arrhythmia detection circuit. The arrhythmia detection circuit is configured to monitor information corresponding to ventricular depolarization (V-V) intervals using the sensed physiological signal; determine a V-V interval distribution; determine a heart rate density index (HRDI) as a portion of samples of the V-V interval distribution corresponding to a V-V interval occurring most often in the distribution; and generate an indication of atrial fibrillation (AF) using the HRDI.