A computer implemented method for determining heart arrhythmias based on cardiac activity that includes under control of one or more processors of an implantable medical device (IMD) configured with specific executable instructions to obtain far field cardiac activity (CA) signals at electrodes located remote from the heart, and obtain acceleration signatures, at an accelerometer of the IMD, indicative of heart sounds generated during the cardiac beats. The IMD is also configured with specific executable instructions to declare a candidate arrhythmia based on a characteristic of at least one R-R interval from the cardiac beats, and evaluate the acceleration signatures for ventricular events (VEs) to re-assess a presence or absence of at least one R-wave from the cardiac beats and based thereon confirming or denying the candidate arrhythmia.

Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

A lead body is operable to be implanted proximate a target nerve tissue of a patient. A sensing electrode is configured to sense biopotentials over a first partial circumference of the lead body. A stimulation electrode is configured to deliver stimulation energy over a second partial circumference of the lead body. A signal generator is electrically coupled to the stimulation electrode and a sensing circuit is coupled to the sensing electrode. A processor is operable to apply a stimulation signal to the stimulation electrode via the signal generator and, via the sensing circuit, sense an evoked response to the stimulation signal that propagates along a neural pathway.

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.

A medical device includes a hybrid circuitry assembly and a core circuitry support structure. The core circuitry support structure includes a frame defining a cavity configured to receive at least a portion of the hybrid circuitry assembly. An outer surface of the frame is shaped to correspond to an inside surface of a core assembly housing configured to enclose the hybrid circuitry assembly and the core circuitry support structure.

Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

Wirelessly networked systems of implantable and non-implantable medical devices with networking protocols, software, and hardware that allow for communications and energy transfer between different the medical devices (free standing, implants and wearables) using ultrasonic waves. The networks and methods of use are used to construct cardiac pacing, deep brain stimulation, and neurostimulation networks based on ultrasonic wide band technology.

A medical apparatus for an organ has a substrate that conforms to a shape of the organ, and a plurality of processing units connected to the substrate and distributed throughout the substrate. Each of the processing units has a sensor, processing device and actuator. The sensor senses a condition of the organ and provides a sensed signal. The processing device receives the sensed signal from said sensor, analyzes the sensed signal and provides a control signal. The actuator applies an output pulse to the organ in response to the control signal from the processing device.

A prosthetic valve comprises a frame assembly having a first opening at an inflow portion of the frame assembly and a second opening at an outflow portion of the frame assembly, a first sensor device situated at the inflow portion of the frame, and a second sensor device situated at the outflow portion of the frame. Each of the first sensor device and the second sensor device is configured to sense a physical parameter and provide a sensor signal. The prosthetic valve further comprises a transmitter assembly configured to receive the sensor signals from the first sensor device and the second sensor device and wirelessly transmit a transmission signal based at least in part on the sensor signals.

Sense amplifier circuits particularly useful in sensing neural responses in an Implantable Pulse Generator (IPG) are disclosed. The IPG includes a plurality of electrodes, with one selected as a sensing electrode and another selected as a reference to differentially sense the neural response in a manner that subtracts a common mode voltage (e.g., stimulation artifact) from the measurement. The circuits include a differential amplifier which receives the selected electrodes at its inputs, and comparator circuitries to assess each differential amplifier input to determine whether it is of a magnitude that is consistent with the differential amplifier's input requirements. Based on these determinations, an enable signal is generated which informs whether the output of the differential amplifier validly provides the neural response at any point in time. Further, clamping circuits are connected to the differential amplifier inputs to clamp these inputs in magnitude to prevent the differential amplifier from damage.