A system and method for atrial fibrillation detection in non-noise ECG data 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. Noise is detected in the representations and ECG features in the representation falling within each of the non-noise temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. 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.

A subcutaneous and cutaneous electrocardiography monitor configured for self-optimizing ECG data compression is provided. The monitors include a housing, an electrocardiographic front end circuit, a memory, and a micro-controller configured to: obtain a series of electrode voltage values based on the sensed electrocardiographic signals; use a plurality of selection schemes to choose one or more of a plurality of compression algorithms associated with each of the selection scheme for testing; test the selected compression algorithms including applying the compression algorithms chosen using each of the selection schemes to a segment of the electrode voltage series; analyze results of the testing; select one or more compression algorithms chosen using one of the selection schemes for compressing at least a portion of the electrode voltage series based on the analysis; obtain a compression of at least the portion of the electrode voltage series; and store the compression within the memory.

A subcutaneous and cutaneous electrocardiography monitor configured for self-optimizing ECG data compression is provided. The monitors include a housing, an electrocardiographic front end circuit, a memory, and a micro-controller configured to: obtain a series of electrode voltage values based on the sensed electrocardiographic signals; use a plurality of selection schemes to choose one or more of a plurality of compression algorithms associated with each of the selection scheme for testing; test the selected compression algorithms including applying the compression algorithms chosen using each of the selection schemes to a segment of the electrode voltage series; analyze results of the testing; select one or more compression algorithms chosen using one of the selection schemes for compressing at least a portion of the electrode voltage series based on the analysis; obtain a compression of at least the portion of the electrode voltage series; and store the compression within the memory.

A medical characterization system is configured to input medical-related continuous parameters and discrete data so as to calculate a characterization timeline indicative of a physiological condition of a living being. A data source is in sensor communications with a patient so as to generate a continuous parameter. The data source also provides test data responsive to the patient at a test time. The test data is available to a characterization processor at a result time. The characterization processor is also responsive to the continuous parameter so as to generate a medical characterization as a function of time. A characterization analyzer enables the characterization processor to update the medical characterization in view of the test data as of the test time.

A monitoring device suitable for attachment to a surface of a subject, the device having a data collector and a processor. The data collector includes a flexible foil attached to a less flexible socket, where the foil forms a dermal side surface of the data collector for adhesion to a skin surface of a subject to be monitored. To enable communication of electrical signals between the data collector and the processor, the data collector includes a distribution structure formed as a pattern of an electrically conductive material on an outer surface of a foldable sheet. The foldable sheet forms a layer in the flexible foil and having an interface portion which is folded into an aperture in the socket to form a coupling inside the cavity for electrical communication with a matching coupling of the processor when the processor is received in the cavity.

The disclosure relates generally to applications of Orientation Independent Sensing (OIS) and Omnipolar mapping Technology (OT) to various system, device and method embodiments as recited herein. Similarly, systems and methods suitable for supporting OIS and OT systems and methods are disclosed. Further, OIS and OT implementations that provide end user interfaces, diagnostic indicia and visual displays generated, in part, based on measured data or derived from measured data are also disclosed. Embodiments also describe applying optimization techniques to determine the greatest voltage difference of a local electric field associated with an electrode-based diagnostic procedure and a vector representation thereof. Various graphic user interface related features are also described to facilitate orientation and electrode clique signal display.

The disclosure relates generally to applications of Orientation Independent Sensing (OIS) and Omnipolar mapping Technology (OT) to various system, device and method embodiments as recited herein. Similarly, systems and methods suitable for supporting OIS and OT systems and methods are disclosed. Further, OIS and OT implementations that provide end user interfaces, diagnostic indicia and visual displays generated, in part, based on measured data or derived from measured data are also disclosed. Embodiments also describe applying optimization techniques to determine the greatest voltage difference of a local electric field associated with an electrode-based diagnostic procedure and a vector representation thereof. Various graphic user interface related features are also described to facilitate orientation and electrode clique signal display.

Described herein are methods, apparatuses, and systems for heart monitoring of a patient. The heart monitoring system can be used to take an electrocardiogram (ECG) using only two electrodes. A handheld device can be used to sequentially measure the electrical signal between different positions on a patient's body. The electrical signals can be processed and analyzed to prepare an ECG for the patient, including a 12-lead ECG.

Methods and systems are provided for determining a phase shift and noise insensitive similarity metric for electrocardiogram (ECG) beats in a Holter monitor recording. In one embodiment, a method includes selecting a first beat and a second beat recorded via one or more Holter monitors, determining a dynamic time warping (DTW) distance between the first beat and the second beat, setting a similarity label for the first beat and the second beat based on the DTW distance, and storing the first beat, the second beat, and the similarity label, in a location of non-transitory memory as an ECG training data triad, and training a machine learning model with the ECG training data triad.

A device for measuring and recording body functions can include a first patch and a second patch. The first patch be applied to a user and include an electrocardiogram (“EKG”) sensor and a first communication circuit. The EKG sensor can be for recording electrical activity data of a heart of the user. The first communication circuit can be communicatively coupled to the EKG sensors for transmitting the electrical activity data. The second patch can be communicatively coupled to the first patch and include a processing device and a second communication circuit. The processing device can be for performing an analysis of the electrical activity data. The second communication circuit can be communicatively coupled to the first communication circuit for receiving the electrical activity data and communicatively coupled to the processing device for transmitting the analysis to a second device.