A cardiac pacing system having a pulse generator for generating therapeutic electric pulses, a lead electrically coupled with the pulse generator having an electrode, a first sensor configured to monitor a physiological characteristic of a patient, a second sensor configured to monitor a second physiological characteristic of a patient and a controller. The controller can determine a pacing vector based on variables including a signal received from the second sensor, and cause the pulse generator to deliver the therapeutic electrical pulses according to the determined pacing vector. The controller can also modify pacing characteristics based on variables including a signal received from the second sensor.

Systems, devices, and methods for monitoring for atrial capture are disclosed. Such a method, for use within an implantable system including an atrial leadless pacemaker (aLP) and a ventricular leadless pacemaker (vLP), includes storing within a memory of the vLP a paced atrial activation morphology template corresponding to far-field atrial signal components expected to be present in a vEGM sensed by the vLP when an atrial pacing pulse delivered by the aLP captures atrial tissue. The vLP senses a vEGM and compares a morphology of a portion of the sensed vEGM to the paced atrial activation morphology template to determine whether a match therebetween is detected. Additionally, the vLP determines whether atrial capture occurred or failed to occur (responsive to an atrial pacing pulse), based on whether the vLP detects a match between the morphology of a portion of the sensed vEGM and the paced atrial activation morphology template.

A cardiac defibrillation system that includes a pulse generator to generate therapeutic electrical pulses and at least one lead inserted through an intercostal space in the region of a cardiac notch of the left lung of a patient, the lead having a distal end configured to transmit the therapeutic electrical pulses generated by the pulse generator to defibrillate the heart of the patient.

Systems and methods for monitoring and treating patients with heart failure (HF) are discussed. The system may sense cardiac signals, and receives information about patient physiological or functional conditions. A stimulation parameter table that includes recommended values of atrioventricular delay (AVD) or other timing parameters maybe created at a multitude of patient physiological or functional conditions. The system may periodically reassess patient physiological or functional conditions. A therapy programmer circuit may dynamically switch between left ventricular-only pacing and biventricular pacing, or switch between single site pacing and multisite pacing based on the patient condition. The therapy programmer circuit may adjust AVD and other timing parameters using the cardiac signal input and the stored stimulation parameter table. A HF therapy may be delivered according to the determined stimulation site, stimulation mode, and the stimulation timing.

A wearable defibrillator includes garment configured to be worn by a patient, treatment electrodes configured to apply electric current to the patient, and an alarm module configured to provide audio, visual, and haptic notifications. The notifications are configured to indicate that an electric current will be administered imminently, and prompt the patient to provide a response input. The wearable defibrillator includes a motion sensor configured to detect motion and a lack of motion of the patient, and a controller in electrical communication with the alarm module and the motion sensor. The controller is configured to monitor for the response input, cause administration of the electric current to be delayed or cancelled if the response input is received and motion of the patient is detected, and cause administration of the electric current to be delivered if no response input from the patient is received and a lack of motion is detected.

The disclosure describes techniques for associating therapy adjustments with posture states using a timer. The techniques may include detecting a patient adjustment to electrical stimulation therapy delivered to the patient, sensing a posture state of the patient, and associating the detected adjustment with the sensed posture state if the sensed posture state is sensed within a first period following the detection of the adjustment and if the sensed posture state does not change during a second period following the sensing of the sensed posture state.

A Medical Device Application (MDA) is disclosed for an external device (e.g., a cell phone) that can communicate with an Implantable Medical Device (IMD). The MDA receives data logged in the IMD, processes that data in manners reviewable by an IMD patient, and that can control the IMD based on such processed data. The MDA can use the logged data to adjust IMD therapy based on patient activity or posture, and allows a patient to learn optimal therapy settings for particular activities. The MDA can also use the logged data to allow a patient to review details about IMD battery performance, whether such battery is primary or rechargeable, and to control stimulation parameters based on that performance. The MDA also allows a patient to enter medicine dose information, to review the relationship between medicinal therapy and IMD therapy, and to adjust IMD therapy based on the dosing information.

A cardiac defibrillation system that includes a pulse generator to generate therapeutic electrical pulses and at least one lead inserted through an intercostal space in the region of a cardiac notch of the left lung of a patient, the lead having a distal end configured to transmit the therapeutic electrical pulses generated by the pulse generator to defibrillate the heart of the patient.

Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient.

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.