Provided herein are systems for stimulating cardiac tissue of a patient. The systems include: a pulse generator having a first transmission element for delivering wireless power; a stimulation assembly having a flexible substrate, a second transmission element for receiving the wireless power from the first transmission element of the pulse generator, one or more electrodes attached to the substrate for delivering electrical energy to cardiac tissue, and one or more microcircuits attached to the substrate for delivering electrical energy to the one or more electrodes; and an algorithm having a fibrillation detection algorithm for determining when the one or more electrodes deliver the energy to the cardiac tissue.

A medical device senses cardiac electrical signals including T-waves attendant to ventricular myocardial repolarizations and detects a T-wave template condition associated with non-pathological changes in T-wave morphology. The device generates a T-wave template from T-waves sensed by the sensing circuit during the T-wave template condition. After generating the T-wave template, the device acquires a T-wave signal from the cardiac electrical signal and compares the acquired T-wave signal to the T-wave template. The device detects a pathological event in response to the acquired T-wave signal not matching the T-wave template.

Systems, methods and devices for delivering stimulating energy with a lead are disclosed. One method includes inserting a lead for cardiac therapy into an intercostal space of a patient and proximate to a lateral margin of the patient's sternum (the lead having a distal end configured to transmit therapeutic electrical pulses from a pulse generator to the heart), advancing the distal end of the lead through the intercostal space, and coupling a proximal end of the lead to the pulse generator for delivery of therapeutic electrical pulses for pacing or defibrillation of the heart.

Techniques are described for pacing assistance and automation. For example, a pacing device, such as an external defibrillator, provides electrical stimulations to an external surface of a patient based on a determination as to whether capture has been achieved. The pacing device determines whether capture has been achieved using multiple types of sensor data and/or historical sensor data. These techniques effect a particular treatment (e.g., pacing using an external pacing system) for a medical condition (e.g., bradycardia). In some examples, the pacing device provides notifications to assist with pacing to a healthcare provider that is administering pacing to a patient. Notifications may include an indication that multiple representations corresponding to different biological parameters of a patient may assist with pacing, that the patient has an internal pacemaker, and so forth.

Systems and methods are provided for optimizing hemodynamics within a patient's heart, e.g., to improve the patient's exercise capacity. In one embodiment, a system is configured to be implanted in a patient's body to monitor and/or treat the patient that includes at least one sensor configured to provide sensor data that corresponds to a blood pressure within or near the patient's heart; at least one adjustable component designed to cause blood to flow in a direction opposite to the normal direction (regurgitation) within the patient's heart; and a controller configured for adjusting the function of the at least one adjustable component based at least in part on sensor data from the at least one sensor.

A system for application of neurostimulation includes an outer sheath, an elongate inner member in the outer sheath and movable relative to the outer sheath. The inner lumen has a distal end. An expandable member is coupled to the distal end of the inner member and is in the outer sheath. The expandable member is self-expanding upon from a compressed state in the outer sheath to an expanded state out of the outer sheath. The expandable member includes a distal portion including a plurality of wires woven together and a proximal portion including the plurality of wires extending parallel to a longitudinal axis. The system includes a plurality of electrode assemblies outward of the expandable member and circumferentially spaced around the expandable member. Each electrode assembly is coupled to two of the wires extending parallel to the longitudinal axis. Each electrode assembly includes a plurality of longitudinally-spaced electrodes.

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.

Systems and methods are provided for optimizing hemodynamics within a patient's heart, e.g., to improve the patient's exercise capacity. In one embodiment, a system is configured to be implanted in a patient's body to monitor and/or treat the patient that includes at least one sensor configured to provide sensor data that corresponds to a blood pressure within or near the patient's heart; at least one adjustable component designed to cause blood to flow in a direction opposite to the normal direction (regurgitation) within the patient's heart; and a controller configured for adjusting the function of the at least one adjustable component based at least in part on sensor data from the at least one sensor.

A device determines values for one or more metrics that indicate the quality of a patient's sleep based on sensed physiological parameter values. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. The sleep quality metric values may be used, for example, to evaluate the effectiveness of a therapy delivered to the patient by a medical device. In some embodiments, determined sleep quality metric values are automatically associated with the therapy parameter sets according to which the medical device delivered the therapy when the physiological parameter values were sensed, and used to evaluate the effectiveness of the various therapy parameter sets. The medical device may deliver the therapy to treat a non-respiratory neurological disorder, such as epilepsy, a movement disorder, or a psychological disorder. The therapy may be, for example, deep brain stimulation (DBS) therapy.

An implantable cardiac rhythm management medical device is configured to switch from a first operating mode to a second, ventricular assist device operating mode for detecting cardiac arrhythmias and controlling delivery of anti-arrhythmia therapy during the ventricular assist device operating mode. The implantable medical device may receive a command from another medical device indicating co-implantation of a ventricular assist device with the implantable medical device in a patient and switch from the first mode of operating to the second mode of operating in response to receiving the command. Switching from the first mode to the second mode may include adjusting at least one control parameter used for controlling an electrical stimulation therapy deliverable by the implantable cardiac rhythm management medical device.