A system and a method for identifying a patient with a threshold number of distinct ECG abnormalities. The system and the method include an ECG monitoring device; a server; a database; a network; a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for identifying patients with a threshold number of distinct ECG abnormalities; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: receive an ECG data output from the ECG monitoring device; process the ECG data output to identify abnormalities in the ECG data; and analyze the abnormalities in the ECG data in order to output an indication of whether the patient has depressed LVEF, wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to the network via communication links.

One or more non-transitory machine-readable media to store data and instructions executable by one or more processors. The instructions are programmed to analyze workflow data for a given phase of a plurality of phases of an ongoing electrophysiology (EP) workflow implemented using a first computing apparatus. The instructions can also determine at least one support event based on the analysis of the workflow data and send a request to at least one remote support specialist responsive to determining the at least one support event. The instructions further can establish a communication link between the first computing apparatus and a second computing apparatus, which is associated with a respective remote support specialist, and enable user interaction with and control of the machine-readable EP workflow instructions on the first computing apparatus responsive to a user input by the respective remote support specialist at the second computing apparatus.

One or more non-transitory machine-readable media to store data and instructions executable by one or more processors. The instructions are programmed to analyze workflow data for a given phase of a plurality of phases of an ongoing electrophysiology (EP) workflow implemented using a first computing apparatus. The instructions can also determine at least one support event based on the analysis of the workflow data and send a request to at least one remote support specialist responsive to determining the at least one support event. The instructions further can establish a communication link between the first computing apparatus and a second computing apparatus, which is associated with a respective remote support specialist, and enable user interaction with and control of the machine-readable EP workflow instructions on the first computing apparatus responsive to a user input by the respective remote support specialist at the second computing apparatus.

Systems, devices, and methods for monitoring for atrial capture are disclosed. Such a method, for use within an implantable system including an atrial leadless pacemaker (aLP) and a ventricular leadless pacemaker (vLP), includes storing within a memory of the vLP a paced atrial activation morphology template corresponding to far-field atrial signal components expected to be present in a vEGM sensed by the vLP when an atrial pacing pulse delivered by the aLP captures atrial tissue. The vLP senses a vEGM and compares a morphology of a portion of the sensed vEGM to the paced atrial activation morphology template to determine whether a match therebetween is detected. Additionally, the vLP determines whether atrial capture occurred or failed to occur (responsive to an atrial pacing pulse), based on whether the vLP detects a match between the morphology of a portion of the sensed vEGM and the paced atrial activation morphology template.

Provided is a contactless electrocardiogram measurement device which may perform a high-quality sleep monitoring while improving a sleep quality of an object person. The contactless electrocardiogram measurement device includes a measurement unit disposed between a vibration medium and a support member to measure vibration generated from a body of an object person that is transmitted from the vibration medium, wherein the measurement unit includes a plate-shaped cover portion interposed between the vibration medium and the support member, and a vibration sensor for detecting the vibration generated in the cover portion.

Implantable medical device configured to detect an atrial electric signal of a heart, and a ventricular electric signal of the same heart. Atrial events are evaluated in the atrial electric signal detected by a first detection unit and/or ventricular events are evaluated in the ventricular electric signal detected by a second detection unit for recognizing a condition of the device in which atrial electric signals are insufficiently detected.

Evaluation is done by applying at least one of: morphology of the detected atrial electric signals; lacking stability of atrial events; absence of atrial events over a period of time; an amplitude of the detected atrial electric signal being lower than a predefined threshold value; absence of atrial events during detection of ventricular electric signals simultaneously; comparison of atrial events sensed with first and second sensing profiles, the second being more sensitive than the first.

Implantable medical device configured to detect an atrial electric signal of a heart, and a ventricular electric signal of the same heart. Atrial events are evaluated in the atrial electric signal detected by a first detection unit and/or ventricular events are evaluated in the ventricular electric signal detected by a second detection unit for recognizing a condition of the device in which atrial electric signals are insufficiently detected.

Evaluation is done by applying at least one of: morphology of the detected atrial electric signals; lacking stability of atrial events; absence of atrial events over a period of time; an amplitude of the detected atrial electric signal being lower than a predefined threshold value; absence of atrial events during detection of ventricular electric signals simultaneously; comparison of atrial events sensed with first and second sensing profiles, the second being more sensitive than the first.

When inserting a catheter or other medical equipment into a child or adolescent or other paediatric patient, ECG signals may be recorded from the catheter and the location of the catheter determined by analysing the ECG signals. A signal processor and user interface may receive recorded signals in real-time from the catheter while the catheter is inserted into the paediatric patient. The signal processor may analyse the ECG signals to determine the location of the catheter in the paediatric patient. The user interface may display the location of the catheter and other pertinent information to a user while the user is inserting the catheter. One method for determining the location may include determining R-wave and P-wave peaks of the ECG signal and determining the location from an average location of the R-wave and P-wave peaks in the ECG signal.

When inserting a catheter or other medical equipment into a child or adolescent or other paediatric patient, ECG signals may be recorded from the catheter and the location of the catheter determined by analysing the ECG signals. A signal processor and user interface may receive recorded signals in real-time from the catheter while the catheter is inserted into the paediatric patient. The signal processor may analyse the ECG signals to determine the location of the catheter in the paediatric patient. The user interface may display the location of the catheter and other pertinent information to a user while the user is inserting the catheter. One method for determining the location may include determining R-wave and P-wave peaks of the ECG signal and determining the location from an average location of the R-wave and P-wave peaks in the ECG signal.

Described herein are methods, devices, and systems that monitor heart rate and/or for arrhythmic episodes based on sensed intervals that can include true R-R intervals as well as over-sensed R-R intervals. True R-R intervals are initially identified from an ordered list of the sensed intervals by comparing individual sensed intervals to a sum of an immediately preceding two intervals, and/or an immediately following two intervals. True R-R intervals are also identified by comparing sensed intervals to a mean or median of durations of sensed intervals already identified as true R-R intervals. Individual intervals in a remaining ordered list of sensed intervals (from which true R-R intervals have been removed) are classified as either a short interval or a long interval, and over-sensed R-R intervals are identified based on the results thereof. Such embodiments can be used, e.g., to reduce the reporting of and/or inappropriate responses to false positive tachycardia detections.