A system includes an implantable medical device (IMD) and processing circuitry. The IMD includes sensing circuitry configured to sense cardiac electrical signals of a patient, and therapy delivery circuitry configured to deliver demand cardiac pacing to a heart of the patient based on the cardiac electrical signals. The processing circuitry is configured to: determine, for each of a plurality of time units, based on the cardiac electrical signals and the delivery of demand cardiac pacing during the time units, a plurality of metrics indicative of a need for continued delivery of demand cardiac pacing to the heart of the patient. The plurality of metrics includes a metric associated with a duration of one or more pacing episodes during the time unit. The processing circuitry is further configured to generate a graphical representation of the plurality of metrics of the plurality of time units for presentation to a user.

Embodiments described herein relate to implantable medical devices (IMDs) and methods for use therewith. Such a method includes using an accelerometer of an IMD (e.g., a leadless pacemaker) to produce one or more accelerometer outputs indicative of the orientation of the IMD. The method can also include controlling communication pulse parameter(s) of one or more communication pulses (produced by pulse generator(s)) based on accelerator output(s) indicative of the orientation of the IMD. The communication pulse parameter(s) that is/are controlled can be, e.g., communication pulse amplitude, communication pulse width, communication pulse timing, and/or communication pulse morphology. Such embodiments can be used to improve conductive communications between IMDs whose orientation relative to one another may change over time, e.g., due to changes in posture and/or due to cardiac motion over a cardiac cycle.

An implantable leadless pacemaker (iLP) for a human or animal heart, wherein the iLP includes a housing, at least two electrode poles for picking up electrical potentials and/or delivering electrical stimulation, a stimulation control unit in connection with the electrode poles, a sensing unit that is in connection with at least one electrode pole, a signal processing unit in connection with the sensing unit, a signal evaluation unit in connection with the signal processing unit and/or the sensing unit, and an energy source. The sensing unit is configured to sense a first signal associated with an activity of the first heart chamber, and the stimulation control unit is configured to deliver electrical stimulation in the first heart chamber via the at least two electrode poles. wherein the sensing unit is configured to sense a second signal associated with an activity of a second heart chamber.

Systems, methods and implantable devices configured to provide cardiac resynchronization therapy and/or bradycardia pacing therapy. A first device located in the heart of the patient is configured to receive a communication from a second device and deliver a pacing therapy in response to or in accordance with the received communication. A second device located elsewhere is configured to determine an atrial event has occurred and communicate to the first device to trigger the pacing therapy. The second device may be configured for sensing the atrial event by the use of vector selection and atrial event windowing, among other enhancements. Exception cases are discussed and handled as well.

Embodiments of the invention are related to medical systems and methods that can be used to control features of implanted medical devices, amongst other things. In an embodiment, the invention includes a medical system including an external medical device. The external medical device including a video output and a processor in communication with the video output. The system can be configured to display information through the video output as a graph, the graph comprising data representing pacing rates of an implantable device as a function of activity level over time. The system can further be configured to accept user input through direct manipulation of the graph. Other embodiments are also included herein.

Optimizing and/or personalizing activities to a user through artificial intelligence and/or virtual reality.

Systems and methods for monitoring patient vasoactivity are discussed. An exemplary patient monitor system includes a sensor circuit configured to generate a heart sound (HS) metric using a HS signal sensed from a patient, and a vasoactivity monitor configured to monitor vasoactivity, such as degree of vasoconstriction or vasodilation, using the HS metric. The system can provide the monitored vasoactivity to a user to alert patient hemodynamic responses to vasoactive drugs, or initiate or adjust a vasoactive therapy according to the vasoactivity. The system may use the monitored vasoactivity to detect a medical condition such as worsening heart failure, pulmonary edema, or syncope.

Technologies and implementations for a wearable medical device (WMD). The technologies and implementations facilitate incorporating a blood oxygen saturation level device with the WMD. Additionally, the technologies and implementations include wearable cardioverter device (WCD) incorporating a blood oxygen saturation level device.

Systems and methods for monitoring patients with respiratory diseases are described. A system may include a sensor circuit configured to sense one or more physiological signals indicative of respiratory sounds, and a spectral analyzer to generate first and second spectral contents at respective first and second frequency bands. The system may produce a respiratory anomaly indicator using the first and second spectral contents, or additionally with other physiological parameters. The system may detect an onset or progression of a target respiratory condition such as asthma or chronic obstructive pulmonary disease using the respiratory anomaly indicator, or to trigger or adjust a therapy.

Systems and methods for monitoring patients with respiratory diseases are described. A system may include a sensor circuit to sense a respiration signal and at least one hemodynamic signal. The system may detect a specified respiratory phase from the respiration signal, and generate from the hemodynamic signal one or more signal metrics that are correlative to at least one of a systolic blood pressure, a blood volume, or a cardiac dimension. The system may detect a restrictive or obstructive respiratory condition when the hemodynamic signal metric indicates hemodynamic deterioration during a specified respiratory phase. The system may additionally classify the detected restrictive or obstructive respiratory condition into one of two or more categories, and deliver a therapy based on the detection or the classification.