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.

Methods and systems are described for detecting the likelihood of patent ductus arteriosus (PDA) in an infant using electrocardiogram and photoplethysmographic pulse signals obtained from the upper body and foot of the infant.

A plurality of electrophysiology (EP) data points, each including an electrogram signal, can be used to visualize cardiac activity. Each EP data point can be characterized as substrate or healthy, and a cloud map of the substrate EP data points can be generated. A graphical representation of the cloud map can be output in combination with a graphical representation of an electrophysiology map of the healthy EP data points. In alternative embodiments, the electrogram signals can be transformed into the wavelet domain, thereby computing a plurality of scalograms, and computing a wave function of each scalogram, thereby computing a plurality of wave functions. A propagation map, such as a propagation wave map and/or propagation wave trail map, can then be generated from the wave functions and output graphically.

A plurality of electrophysiology (EP) data points, each including an electrogram signal, can be used to visualize cardiac activity. Each EP data point can be characterized as substrate or healthy, and a cloud map of the substrate EP data points can be generated. A graphical representation of the cloud map can be output in combination with a graphical representation of an electrophysiology map of the healthy EP data points. In alternative embodiments, the electrogram signals can be transformed into the wavelet domain, thereby computing a plurality of scalograms, and computing a wave function of each scalogram, thereby computing a plurality of wave functions. A propagation map, such as a propagation wave map and/or propagation wave trail map, can then be generated from the wave functions and output graphically.

Apparatuses and methods are disclosed for determining artifact signals from a plurality of sample signals collected during a pre-determined time window from at least one ECG lead configured to be affixed to a patient. The apparatuses and methods select a plurality of sample points from in the sample signals, extract a plurality of features from the selected sample points, and generate a probability of the existence of the artifact signals by applying a transformation process to at least two of the plurality of features. Furthermore, the apparatuses and methods identify a plurality of QRS-complexes extract one or more features corresponding to the identified QRS-complexes. The apparatuses and methods further generate a signal quality index (“SQI”) by comparing the one or more features corresponding to the identified QRS-complexes and determine the artifact signals based on the SQI and the probability.

The invention relates to a non-invasive system for determining the maturation of a baby, which comprises a module for sampling a cardiac or electroencephalographic signal from a baby and advantageously performs a conversion of a plurality of temporal samples derived from the cardiac signal or from the electroencephalic signal into a visibility graph, then a determination of at least one index on the basis of this visibility graph, a comparison of at least one determined index with one or more statistical indices representative of the maturation of a plurality of babies and a visual representation of a distance between at least one determined index and the statistical indices.

A method of imaging a tissue region may comprise visualizing lesions over a tissue region via an imaging catheter by viewing the tissue region through a viewing region purged by a fluid and identifying, with a computer, a location of each of the lesions relative to one another over the tissue region. The method may also include registering, with the computer, a unique set of ablation parameters received from a treatment device for lesion generation for each of the lesions and generating, with the computer, a map of the lesions based on the identified locations of the lesions. The method may also include visually displaying the map of the lesions in a common display with a real-time field of view image of a first lesion; and visually displaying the registered unique set of ablation parameters for the first lesion with the real-time field of view image of the first lesion.

In various embodiments, a first classification assigned to a periodic component of an electrical waveform that represents electrical activity in a patient's heart may be identified. A corresponding periodic component of a hemodynamic waveform that represents hemodynamic activity in the patient's cardiovascular system may be analyzed. The corresponding periodic component may be causally related to the periodic component of the electrical waveform. Based on the analysis, the previously-assigned classification may be assigned to the corresponding periodic component of the hemodynamic waveform in response to a determination, based on the analyzing, that the previously-assigned classification also applies to the corresponding periodic component. In a database of hemodynamic templates, a hemodynamic template associated with the previously-assigned classification may be updated to include one or more features of the corresponding periodic component of the hemodynamic waveform.

A wearable medical device is provided. The device includes electrodes to receive electrical signals from a patient, monitor for a cardiac arrhythmia, and provide a therapeutic shock to the patient in response to detecting the arrhythmia. The device includes a user interface to receive patient input indicating initiation or termination of a high-noise activity. The device can include accelerometers to generate motion signals. The device includes a processor to monitor for initiation or termination of the high-noise activity based on a noise level in the electrical signals, the motion signals, and the patient input. The processor can cause, in response to the initiation of the high-noise activity, an arrhythmia detection process to execute in an activity-induced noise (AIN) robust mode, and cause, in response to the termination of the high-noise activity, the arrhythmia detection process to execute in an AIN sensitive mode.

In an example, an electrocardiogram (ECG) device includes a housing, an ECG sensor, and first and second electrodes. The ECG sensor is disposed in the housing. The first electrode is accessible from outside the housing and is electrically coupled to the ECG sensor. The second electrode is accessible from outside the housing and is electrically coupled to the ECG sensor. The housing and the first and second electrodes define an ECG device electromechanical interface that is complementary to a common patch electromechanical interface that is included in at least two different types of attachment patches.