Embodiments of the disclosure include systems and methods for reducing false positives in detection of pauses. For example, embodiments include a sensing component configured to obtain values of a first physiological parameter and determine a cardiac pause based on the values of the first physiological parameter. Furthermore, embodiments include performing a validation check of the determined cardiac pause using at least one of: the values of the first physiological parameter or values of a second physiological parameter.

Systems, methods, and devices for detecting dislodgment of an implantable device are disclosed. In one example, a method for determining a dislodgement status may comprise collecting, by the implantable device operating in a first operating mode, a first number of accelerometer signal samples during a cardiac cycle of the heart and using the first number of accelerometer signal samples to determine a first patient parameter and collecting, by the implantable device operating in a second operating mode, a second number of accelerometer signal samples during a cardiac cycle of the heart and using the second number of accelerometer signal samples to determine a dislodgment status of the implantable device, wherein the first number is smaller than the second number. In some further embodiments, the method may further include providing a notification of the dislodgment status to a remote device that is remote from the implantable medical device.

An implantable pacing device for delivering ventricular pacing may be configured to intermittently and variably reduce the AV delay interval used in an atrial triggered pacing mode in a manner that simulates exercise. The device may be programmed to intermittently switch to and from a variably shortened AV delay mode according to defined entry and exit conditions.

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.

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.

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.

An intracardiac ventricular pacemaker is configured to operate in in a selected one of an atrial-tracking ventricular pacing mode and a non-atrial tracking ventricular pacing mode. A control circuit of the pacemaker determines at least one motion signal metric from the motion signal, compares the at least one motion signal metric to pacing mode switching criteria, and, responsive to the pacing mode switching criteria being satisfied, switches from the selected one of the non-atrial tracking pacing mode and the atrial tracking pacing mode to the other one of the non-atrial tracking pacing mode and the atrial tracking pacing mode for controlling ventricular pacing pulses delivered by the pacemaker.

Systems, devices, and methods for adjusting functionality of an implantable medical device based on posture are disclosed. In some instances, a method for operating a leadless cardiac pacemaker implanted into a patient, where the patient has two or more predefined behavioral states, may include detecting a change in the behavioral state of the patient, and in response, changing a sampling rate of a sensor signal generated by a sensor of the leadless cardiac pacemaker. In some embodiments, the method may further include using the sampled sensor signal to determine an updated pacing rate of the leadless cardiac pacemaker and providing pacing to the patient at the updated pacing rate.

A medical device detects a previously defined event, and controls delivery of therapy to a patient according to therapy information associated with the previously defined event. In exemplary embodiments, the medical device enters a learning mode in response to a command received from a user, e.g., the patient or a clinician. In such embodiments, the medical device defines the event, collects the therapy information, and associates the therapy information with the defined event while operating in the learning mode. In some embodiments, the medical device defines the event based on the output of a sensor that indicates a physiological parameter of the patient during the learning mode. The sensor may be an accelerometer, which generates an output that reflects motion and/or posture of the patient. The medical device may collect therapy information by recording therapy changes made by the user during the learning mode.

A monitoring system has biomechanical sensors, physiological sensors and a controller which receive sensory inputs from the sensors to provide output signals for the output device, and it detects from the sensory inputs risk of a syncopal event The bio-mechanical sensors include sensors arranged to allow the processor to detect a user postures and posture transitions. The processor operates a finite state machine, in which there is a state corresponding to each of a plurality of user physical postures and to each of a plurality of transitions between said postures, and the processor determines a relevant state depending on the sensory inputs. A device output may be muscle stimulation to prevent syncope, and there are stimulation permissions associated with the finite state machine states.