A system, a method and a computer program product for automated detection and recognition of adverse events for monitoring the state of health of an individual

A system and a method are provided for using a mobile computing system comprising that has a communication connection configured to communicate with an electrocardiographic (ECG) apparatus to acquire ECG signals from the subject through a plurality of ECG leads. The system includes a processor configured to receive the ECG signals through the communications connection and process the ECG signals to estimate at least one of a respiratory rate of the subject, a tidal volume of the subject, or an ischemic index or repolarization alternans of the subject, from the ECG signals. The processor is further configured to generate an alert upon determining at least one of the ischemic index or repolarization alternans is above a threshold value or a change in respiratory rate or tidal volume indicative of an abnormal respiratory event. The system also includes a display configured to display the alert.

This document discusses, among other things, systems and methods to receive cardiac electrical information and premature ventricular contraction (PVC) information of a subject, detect atrial fibrillation (AF) of the subject using the received cardiac electrical information, and adjust AF detection using the received PVC information.

A heartbeat analyzer analyzes heartbeats of a living body to which a pacing device for outputting pacing pulses to cause a heart to beat is placed. The heartbeat analyzer includes: a heartbeat detecting section that detects the heartbeats; a pulse detecting section that detects outputs of the pacing pulses; a heartbeat determining section that determines whether the heartbeats are paced beats due to the pacing pulses or not, based on detection timings of the pacing pulses; a tachycardia determining section that, in a case where the paced beats are in a number that is equal to or larger than a predetermined heart rate, and are contained in the heartbeats at a predetermined ratio or more, determines that pacing tachycardia caused by the pacing pulses occurs in the living body; and a notifying section that notifies of the occurrence of the pacing tachycardia.

A system includes a memory and a processor. The memory is configured to store a definition of a cardiac pacing protocol. The processor is configured to (a) receive the stored definition of the cardiac pacing protocol, (b) in accordance with the pacing protocol, to automatically pace from an intracardiac location and to acquire respective sensed ECG signals, (c) based on one or more prespecified criteria for validity of the sensed ECG data, automatically accept or reject the sensed ECG signals, (d) based on one or more prespecified criteria for identification of an arrhythmia, identify the intracardiac location as an arrhythmogenic focus or pathway, (e) overlay the identified intracardiac location an electrophysiological (EP) map, and (f) subsequently identify or reject a new intracardiac location as an arrhythmogenic focus or pathway and overlay the new location on the EP map when pacing again from the new intracardiac location.

A system and method for accelerating confirmation of cardiac arrhythmias is provided. The system includes memory to store specific executable instructions. One or more processors are configured to execute the specific executable instructions for obtaining a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats. The CA data set includes a first CA data subset and a remainder CA data subset. The system analyzes the CA data set for an arrhythmia of interest utilizing a primary detection process having primary criteria. During a first phase of the primary detection process the system analyzes the first CA data subset to determine whether the first CA data subset satisfies at least a portion of the primary criteria. When the first CA data subset satisfies at least the portion of the primary criteria, the system initiates a secondary confirmation process. Parallel and contemporaneous in time the system i) analyzes the first CA data subset utilizing secondary criteria associated with the secondary confirmation process and ii) analyzes the remainder CA data subset utilizing the primary criteria. The system declares the CA data set to exhibit an arrhythmia episode when the first CA data subset satisfies the secondary criteria and the remainder CA data subset satisfies a remainder of the primary criteria.

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.

An implantable medical device includes a memory storing criteria for transitioning between states of a cardiac cycle model, the states including a P-wave state. The device also includes sensing circuitry that senses a cardiac signal that varies as a function of a cardiac cycle of a patient, and also includes processing circuitry coupled to the sensing circuitry. The processing circuitry is configured to detect an R-wave in the sensed cardiac signal, to determine an elapsed time since the detection of the R-wave, to determine one or more morphological values of a post-R-wave segment of the cardiac signal to compare the elapsed time and the one or more morphological values to the stored criteria for transitioning between the plurality of states of the cardiac cycle model, and to detect a P-wave in the sensed cardiac signal in response to a transition to the P-wave state of the cardiac cycle model.

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of multiple algorithms and intelligently combing the results of multiple algorithms to provide a single optimized diagnostic result. The algorithms are adaptive and may be customized for particular data sets or for particular patients. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

A system for providing electrocardiogram (ECG) information to a healthcare provider (HCP) is provided. The system includes a network interface configured to receive drug prescription information from a computing device associated with the HCP and ECG data from a medical device associated with a patient. The system also includes a memory configured to store the drug prescription information and the ECG data. The system can further a processor configured to select a period of time over which to review the received drug prescription information and the received ECG data, retrieve the received ECG data for the selected period of time, derive one or more ECG metrics including at least one heart rate parameter, and generate a graphical representation indicating a trend in the one or more ECG metrics and a relationship between the one or more ECG metrics and the drug prescription information.