An implantable device for analyzing a high frequency (HF) electrogram signal received from subcutaneous, above-rib pickup locations, the device including an implantable electrode for use inside a living body, and a can for subcutaneous implantation, the can including a signal pickup configured to pick up an electrogram signal including a high frequency (HF) component, a signal filter connected to the signal pickup and configured to measure a high frequency (HF) component from the electrogram signal, and an analyzer for analyzing the HF component of the electrogram signal, wherein the analyzer is configured to analyze at least one time-varying parameter of the HF component of the electrogram signal, and the signal filter is configured to measure the electrogram signal by using a signal picked up from at least two pickup locations which are both subcutaneous and above-rib. Related apparatus and methods are also described.

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.

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.

Embodiments of the present disclosure describe a method of monitoring a patient comprising generating an accelerometer signal of a patient via a patient medical device and capturing and sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals. Embodiments further describe a patient medical device comprising sensors for monitoring an accelerometer signal of a patient and circuitry for sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals. Embodiments also describe a method of processing physiological signals comprising monitoring ECG signals and accelerometer signals of a patient via a patient medical device and capturing an ECG segment and sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A dashboard centered around arrhythmia or atrial fibrillation tracking is provided. The dashboard includes a heart or cardiac health score that can be calculated in response to data from the user such as their ECG and other personal information and cardiac health influencing factors. The dashboard also provides to the user recommendations or goals, such as daily goals, for the user to meet and thereby improve their heart or cardiac health score. These goals and recommendations may be set by the user or a medical professional and routinely updated as his or her heart or cardiac health score improves or otherwise changes. The dashboard is generally displayed from an application provided on a smartphone or tablet computer of the user.

Systems, methods, and computer program product embodiments are disclosed for performing electrophysiology (EP) signal processing. An embodiment includes an electrocardiogram (ECG) circuit board configured to process an ECG signal. The embodiment further includes a plurality of intracardiac (IC) circuit boards, each configured to process a corresponding IC signal. The embodiment further includes a communications interface communicatively coupled to a remote device, and a processor, coupled to the ECG circuit board, the plurality of IC circuit boards, and the communications interface. The processor is configured to receive, via the communications interface, feedback from the remote device. The processor is further configured to control, via the communication interface, the remote device based on the ECG signal, the IC signals, or the feedback from the remote device.

Provided are methods of making a long-term implantable electronic device, and related implantable devices, including by providing a substrate having a first encapsulation layer that covers at least a portion of the substrate, the first encapsulation layer having a receiving surface; providing one or more electronic devices on the first encapsulation layer receiving surface; and removing at least a portion of the substrate from the first encapsulation layer; thereby making the long-term implantable electronic device. Further desirable properties, including device lifetime increases during use in environments that are challenging for sensitive electronic device components, are achieved through the use of additional layers such as longevity-extending layers and/or ion-barrier layers in combination with an encapsulation layer.

A system for detecting a type of stroke includes a processing circuit. The processing circuit is configured to receive heart data regarding a heart rhythm of a patient and physiological data regarding a physiological characteristic of the patient. The heart data is indicative of an occurrence of atrial fibrillation and the physiological data is indicative of an occurrence of a stroke. The processing circuit is further configured to determine a likelihood that the stroke was an embolic stroke based on the heart data and to provide an output including an indication of the likelihood that the stroke was an embolic stroke.

Some aspects of this disclosure generally are related to improving the robustness of a flexible circuit structure, for example, by providing fault-tolerant electrical pathways for flow of electric current through the flexible circuit structure. In some embodiments, such fault tolerance is enhanced by way of a conductive mesh provided between an adjacent pair of resistive elements. Some aspects are related to improved voltage, current, or voltage and current measurement associated with various pairs of adjacent resistive elements at least when the various pairs have differing distances between them.