Abstract: A method, system and device for implanting an electrode assembly of an implantable medical device in a patient's heart. Positioning one or more radiopaque markers in a coronary sinus of the patient's heart. Positioning, by using the one or more positioned radiopaque markers as a fluoroscopic visual reference, a distal tip of a delivery catheter within a right atrium of the patient's heart so that a distal opening of a lumen of the catheter is against a septal wall of the heart at a location between the ostium of the coronary sinus and the A-V nodal area of the right atrium, and so that the tip of the catheter is generally directed toward a left ventricle of the patient's heart. Advancing the electrode assembly through the lumen of the catheter and into the septal wall.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: An example system includes a first lead configured to be positioned in or beside a left internal jugular vein (IJV) of a patient to deliver a first stimulation signal to a first vagus nerve, the first lead including one or more first segmented electrodes positioned on a distal portion of the first lead and a first anchoring mechanism; a second lead configured to be positioned in or beside a right IJV of the patient to deliver a second stimulation signal to a second vagus nerve, the second lead including one or more second segmented electrodes positioned on a distal portion of the second lead and a second anchoring mechanism; and circuitry configured to deliver electrical energy to the first lead to deliver the first stimulation signal and the second lead to deliver the second stimulation signal to provide bilateral stimulation to the first vagus nerve and the second vagus nerve.

Abstract: A method, system and device for implanting an electrode assembly of an implantable medical device in a patient's heart. Positioning one or more radiopaque markers in a coronary sinus of the patient's heart. Positioning, by using the one or more positioned radiopaque markers as a fluoroscopic visual reference, a distal tip of a delivery catheter within a right atrium of the patient's heart so that a distal opening of a lumen of the catheter is against a septal wall of the heart at a location between the ostium of the coronary sinus and the A-V nodal area of the right atrium, and so that the tip of the catheter is generally directed toward a left ventricle of the patient's heart. Advancing the electrode assembly through the lumen of the catheter and into the septal wall.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: Aspects of this disclosure describe methods and systems for evaluating phrenic nerve integrity of a patient and a ramp-up pulse string for nerve stimulation. Integrity of a nerve may be assessed and therapy may be slowly introduced to the patient. To determine integrity, a nerve is electrically stimulated and a return signal is evaluated. For example, a time lapse and a band width of the return signal may provide information about nerve damage and a location of the nerve damage. In addition to assessing nerve integrity of a patient, a stimulation burst (e.g., an electrical stimulation) may be delivered as a ramped-up pulse string (e.g., a series of pulses with increasing voltages) to achieve smooth breathing. The voltages of a stimulation burst may be increased based on a target tidal volume for the patient. The stimulation burst may be delivered during an inhalation phase of a breath.

Abstract: A system comprises a device that includes a signal generator and at least one processor configured to monitor a value of a medical parameter of the patient that is associated with type 2 diabetes, a condition of metabolic syndrome, pancreatis, or any combination thereof. The at least one processor is configured to determine one or more stimulation parameters for stimulating at least one spinal nerve of the patient with an electrical signal, and control the signal generator to generate the electrical signal based on the one or more stimulation parameters. The electrical signal is introduced to the at least one spinal nerve by one or more electrodes, which causes a response by at least one anatomical element of the patient that changes the value of the medical parameter for the patient.

Abstract: A system for treating metabolic syndrome comprises a device including a signal generator configured to generate an electrical signal, and at least one processor configured to monitor a value of at least one parameter of the patient that is associated with at least one condition of metabolic syndrome, and control the signal generator based on a threshold value and the value of the at least one parameter. The system includes one or more electrodes coupled to the signal generator to stimulate at least one spinal nerve based on the electrical signal which causes a response by at least one anatomical element of the patient that changes the value of the at least one parameter of the patient.

Abstract: A system may measure, by one or more sensors, a biometric parameter associated with a subject. The system may determine values of a control parameter based on measuring the biometric parameter. The control parameter may include blood pressure of the subject. The system may perform a control measure based on a comparison of the values of the control parameters to a threshold. Performing the control measure may include delivering therapy treatment to the subject or outputting a notification indicating an action associated with treating a medical condition. Measuring the biometric parameter, determining the values of the control parameter, and performing the control measure may be in response to one or more trigger criteria.

Abstract: A system for treating metabolic syndrome comprises a device including a signal generator configured to generate an electrical signal and at least one processor configured to monitor a value of at least one parameter of the patient that is associated with diabetes, and control the signal generator based on a threshold value and the value of the at least one parameter. The system includes one or more electrodes coupled to the signal generator to stimulate at least one dorsal root ganglion nerve based on the electrical signal which causes a response by at least one anatomical element of the patient that changes the value of the at least one parameter of the patient.

Abstract: VfA cardiac therapy uses an implantable medical device or system. The implantable medical device includes a tissue-piercing electrode implanted in the basal and/or septal region of the left ventricular myocardium of the patient's heart from the triangle of Koch region of the right atrium through the right atrial endocardium and central fibrous body. The device may include a right atrial electrode, a right atrial motion detector, or both. The device may be implanted completely within the patient's heart or may use one or more leads to implant electrodes in the patient's heart. The device may be used to provide cardiac therapy, including single or multiple chamber pacing, atrioventricular synchronous pacing, asynchronous pacing, triggered pacing, cardiac resynchronization pacing, or tachycardia-related therapy. A separate medical device may be used to provide some functionality for cardiac therapy, such as sensing, pacing, or shock therapy.

Abstract: Devices and methods are described herein for treating cardiac conditions using electrical stimulation delivered to and sensing nerve activity from one or both of the AV node and nerve tissue innervating the AV node using one or more neural electrodes positioned in a location within the triangle of Koch of the right atrium.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: Aspects of this disclosure describe methods and systems for nerve stimulation using a balloon catheter. The balloon catheter includes a catheter, an inflatable balloon with a surface, and a set of electrodes positioned along the surface of the inflatable balloon. The balloon catheter may be positioned in a vessel of a patient, such as the esophagus. The patient may be concurrently undergoing mechanical ventilation. The balloon catheter is secured in the vessel by inflating the inflatable balloon. When the inflatable balloon is inflated, the surface of the inflatable balloon and the set of electrodes is positioned at an internal wall of the vessel. Stimulation is provided to a nerve near the vessel, via the set of electrodes, based on stimulation parameters. Values for the stimulation parameters may be adjusted based on breathing parameters of the patient. The stimulation parameters may also be adjusted to wean a patient off mechanical ventilation.

Abstract: An example medical device includes a plurality of electrodes, therapy delivery circuitry, and processing circuitry configured to control the therapy delivery circuitry to deliver electrical stimulation to an intercostal nerve of a patient via at least two of the plurality of electrodes, wherein the electrical stimulation is delivered with stimulation parameters configured to suppress ventricular tachyarrhythmia of the patient, wherein the stimulation parameters comprise a stimulation frequency less than or equal to 40 hertz (Hz).

Abstract: Techniques are described including sensing at least one cardiac signal for a patient during a specified time period; determining a short-term variability (STV) metric for the patient based on the at least one cardiac signal sensed during the specified time period, wherein determining the STV metric comprises at least one of: controlling the determined STV metric based on one or more confounding factors, or correcting the determined STV metric based on the one or more confounding factors, wherein the one or more confounders comprise T-wave morphology; and generating a corresponding notification based on the STV metric to one or more computing devices.

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Abstract: VfA cardiac therapy uses an implantable medical device or system. The implantable medical device includes a tissue-piercing electrode implanted in the basal and/or septal region of the left ventricular myocardium of the patient's heart from the triangle of Koch region of the right atrium through the right atrial endocardium and central fibrous body. The device may include a right atrial electrode, a right atrial motion detector, or both. The device may be implanted completely within the patient's heart or may use one or more leads to implant electrodes in the patient's heart. The device may be used to provide cardiac therapy, including single or multiple chamber pacing, atrioventricular synchronous pacing, asynchronous pacing, triggered pacing, cardiac resynchronization pacing, or tachycardia-related therapy. A separate medical device may be used to provide some functionality for cardiac therapy, such as sensing, pacing, or shock therapy.

Abstract: VfA cardiac therapy uses an implantable medical device or system. The implantable medical device includes a tissue-piercing electrode implanted in the basal and/or septal region of the left ventricular myocardium of the patient's heart from the triangle of Koch region of the right atrium through the right atrial endocardium and central fibrous body. The device may include a right atrial electrode, a right atrial motion detector, or both. The device may be implanted completely within the patient's heart or may use one or more leads to implant electrodes in the patient's heart. The device may be used to provide cardiac therapy, including single or multiple chamber pacing, atrioventricular synchronous pacing, asynchronous pacing, triggered pacing, cardiac resynchronization pacing, or tachycardia-related therapy. A separate medical device may be used to provide some functionality for cardiac therapy, such as sensing, pacing, or shock therapy.