Abstract: A medical device includes a motion sensor configured to sense a motion signal. The medical device includes a control circuit configured to determine at least one ventricular event metric from the motion signal sensed over multiple of atrial cycles, determine that the ventricular event metric meets atrioventricular block criteria and generate an output in response to determining the atrioventricular block.

Abstract: An example medical device system includes memory configured to store information relating to an occurrence of a cardiac event in a patient and processing circuitry configured to determine the occurrence of the cardiac event in the patient. The processing circuitry is configured to determine at least one of a fall of the patient, a slumping posture of the patient, or a change from an upright posture to a non-upright posture of the patient and that the cardiac event is associated therewith in time. The processing circuitry is configured to, in response to determining that the cardiac event and the at least one of the fall of the patient, the slumping posture of the patient, or the change from the upright posture to the non-upright posture of the patient are associated in time, modulate a response to the cardiac event.

Abstract: A medical device includes a motion sensor configured to sense a motion signal. The medical device includes a control circuit configured to determine at least one ventricular event metric from the motion signal sensed over multiple of atrial cycles, determine that the ventricular event metric meets atrioventricular block criteria and generate an output in response to determining the atrioventricular block.

Abstract: A method includes detecting, by an implantable medical device (IMD), attachment to the IMD of at least one implantable medical lead with at least one electrode; and triggering by the IMD, based on the detecting of the attachment to the IMD of the at least one medical lead, a device test sequence in which the IMD performs the following qualification tests over an evaluation period: detecting an impedance for at least one electrical path that includes the at least one electrode to determine a connection status of the IMD to the at least one electrode; and comparing EGM (electrogram) amplitudes of the patient over an EGM test period against a predetermined threshold.

Abstract: Techniques are disclosed for automatically calibrating a reference orientation of an implantable medical device (IMD) within a patient. In one example, sensors of an IMD sense a plurality of orientation vectors of the IMD with respect to a gravitational field. Processing circuitry of the IMD processes the plurality of orientation vectors to identify an upright vector that corresponds to an upright posture of the patient. The processing circuitry classifies the plurality of orientation vectors with respect to the upright vector to define a sagittal plane of the patient and a transverse plane of the patient. The processing circuitry determines, based on the upright vector, the sagittal plane, and the transverse plane, a reference orientation of the IMD within the patient. As the orientation of the IMD within the patient changes over time, the processing circuitry may recalibrate its reference orientation and accurately detect a posture of the patient.

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: 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.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.

Abstract: A medical device is configured to sense a cardiac signal, determine a monitoring metric representative of activity of at least one heart chamber from the sensed cardiac signal, and determine that the monitoring metric meets expected rhythm criteria. The medical device may enable a monitoring feature of the medical device that is based on processing and analysis of the cardiac signal in response to the monitoring metric meeting the expected rhythm criteria.

Abstract: A medical device includes a motion sensor configured to sense a motion signal. The medical device includes a control circuit configured to determine at least one ventricular event metric from the motion signal sensed over multiple of atrial cycles, determine that the ventricular event metric meets atrioventricular block criteria and generate an output in response to determining the atrioventricular block.

Abstract: Techniques are disclosed for automatically calibrating a reference orientation of an implantable medical device (IMD) within a patient. In one example, sensors of an IMD sense a plurality of orientation vectors of the IMD with respect to a gravitational field. Processing circuitry of the IMD processes the plurality of orientation vectors to identify an upright vector that corresponds to an upright posture of the patient. The processing circuitry classifies the plurality of orientation vectors with respect to the upright vector to define a sagittal plane of the patient and a transverse plane of the patient. The processing circuitry determines, based on the upright vector, the sagittal plane, and the transverse plane, a reference orientation of the IMD within the patient. As the orientation of the IMD within the patient changes over time, the processing circuitry may recalibrate its reference orientation and accurately detect a posture of the patient.

Abstract: A medical device is configured to produce an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal meet fall detection criteria. The medical device is configured to receive a truth signal from another device that is not the medical device. The truth signal may indicate that the detected patient fall is a falsely detected patient fall and, responsive to receiving the truth signal, the medical device adjusts at least one fall detection control parameter.