A pacemaker control system includes a pacemaker; a plurality of sensors which are internal to the pacemaker, a plurality of sensors which are external to the pacemaker, a circuit for entering patient reports; and a circuit for using artificial intelligence to process outputs from the plurality sensors internal and external to the pacemaker and from the circuit for entering patient reports, which are collectively identified as a labeled dataset, to reiteratsvely learn a function which determines the labeled dataset most likely to provide optimal pacemaker function for the patient. The means for using artificial intelligence comprises a database of archive outputs from the plurality sensors internal and external to the pacemaker and from the means for entering patient reports for the patient used for optimization of rate modulation to intelligently, continuously and physiologically control the pacemaker.

Devices, systems and methods for the treatment of chronic inflammatory disorders that include an implantable microstimulator and an external charger/controller wherein the microstimulator is configured to operate using closed-loop feedback. The feedback for the microstimulator can be electrical activity of the vagus nerve and/or heart sensed by the microstimulator. The feedback can be used to modulate the stimulation duration, intensity, frequency, on-time and off-time.

An implantable medical device (IMD) and method are provided. The IMD includes a sensing channel configured to obtain biological signals indicative of biological behavior of an anatomy of interest over a period of time. The biological behavior has a feature of interest that repeats over time. The biological signals have clinically relevant (CR) segments that include information related to the feature of interest. The biological signals have non-clinically relevant (NCR) segments that do not include information related to the feature of interest. At least one of circuitry or a processor are configured to compare the biological signals to an amplitude window to distinguish the CR segments from the NCR segments, save to memory the CR segments and delete the NCR segments, save to memory time information indicative of a duration of the NCR segments that were deleted and to form a lossy compressed data set for the biological signals.

An implantable medical device (IMD) is configured with a pressure sensor. The IMD includes a housing and a diaphragm that is exposed to the environment outside of the housing. The diaphragm is configured to transmit a pressure from the environment outside of the housing to a piezoelectric membrane. In response, the piezoelectric membrane generates a voltage and/or a current, which is representative of a pressure change applied to the housing diaphragm. In some cases, only changes in pressure over time are used, not absolute or gauge pressures.

Described herein are methods, devices, and systems for providing an implantable leadless pacemaker (LP) with a remote follow-up capability whereby the LP can provide diagnostic information to an external device that is incapable of programming the LP, wherein the LP includes two or more implantable electrodes used to output both pacing pulses and conductive communication pulses. Such a method can include the LP monitoring for a presence of one or more notification conditions associated with the LP and/or associated with a patient within which the LP is implanted, and the LP periodically outputting an advertisement sequence of pulses, using at least implantable electrodes of the LP, irrespective of whether the LP recognizes the presence of at least one notification condition. The method can also include the LP recognizing the presence of at least one notification condition, and based thereon, the LP also outputting a notification sequence of pulses.

Described herein are methods, devices, and systems for providing an implantable leadless pacemaker (LP) with a remote follow-up capability whereby the LP can provide diagnostic information to an external device that is incapable of programming the LP, wherein the LP includes two or more implantable electrodes used to output both pacing pulses and conductive communication pulses. Such a method can include the LP monitoring for a presence of one or more notification conditions associated with the LP and/or associated with a patient within which the LP is implanted, and the LP periodically outputting an advertisement sequence of pulses, using at least implantable electrodes of the LP, irrespective of whether the LP recognizes the presence of at least one notification condition. The method can also include the LP recognizing the presence of at least one notification condition, and based thereon, the LP also outputting a notification sequence of pulses.

Systems and methods are described herein for determining whether a patient's cardiac conduction system or portions thereof are engaged by cardiac conduction system pacing therapy. One or more local metrics of electrical heterogeneity information may be generated based on surrogate cardiac electrical measured using a plurality of local external electrodes, which may be used to determine whether the patient's cardiac conduction system is engaged.

This document discusses, among other things, patient monitoring systems, apparatus, and methods that change the operation of an ambulatory medical device (AMD) using geographic location information.

A pacemaker system includes a drive-sense circuit (DSC) operably coupled to a pacemaker lead. The DSC generates a pace signal including electrical impulses based on a reference signal. The DSC provides the pace signal via the pacemaker lead to an electrically responsive portion of a cardiac conductive system of a subject to facilitate cardiac operation of a cardiovascular system of the subject. The DSC senses, via the pacemaker lead, cardiac electrical activity of the cardiovascular system of the subject that is generated in response to the pace signal and electrically coupled into the pacemaker lead and generates a digital signal that is representative of the cardiac electrical activity of the cardiovascular system of the subject that is sensed via the pacemaker lead. The DSC provides digital information to one or more processing modules that includes and/or is coupled to memory and that provide the reference signal to the DSC.

Computer implemented methods and systems for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a far field cardiac activity (CA) data set that includes far field CA signals for beats. The method applies a feature enhancement function to the CA signals to form an enhanced feature in the CA data set. The method calculates an adaptive sensitivity level and sensitivity limit based on the enhanced feature from one or more beats within the CA data set and automatically iteratively analyzes a beat segment of interest by comparing the beat segment of interest to the current sensitivity level to determine whether one or more R-waves are present within the beat segment of interest. The method repeats the iterative analyzing operation while progressively adjusting the current sensitivity level until i) the one or more R-waves are detected in the beat segment of interest and/or ii) the current sensitivity level reaches the sensitivity limit. The method detects an arrhythmia within the beat segment of interest based on a presence or absence of the one or more R-waves and records results of the detecting of the arrhythmia.