Abstract: A medical device includes a device body which extends from a proximal end to a distal end. The medical device also includes a rheometric material associated therewith. Examples of rheometric materials include, but are not limited to, electroactive materials, such as a polymer or magnoactive material. The rheometric material stiffens at least a portion of the device body as electric current, voltage, or a magnetic field is applied thereto.

Abstract: A rate smoothing function used in implantable pulse generators, where detected triggering events cause the rate smoothing function to be activated or deactivated and detected parameter adjusting events cause parameters of the rate smoothing function to be changed. The activation/deactivation and/or change to the parameters of the rate smoothing function are temporary, and the pre-event state of the rate smoothing function is set to a post-adjusting state. In one embodiment, the pre-event state of the rate smoothing function is set to the post-adjusting state after a first time interval.

Abstract: A method and system for classifying tachyarrhythmia episodes as associated or disassociated. Primary and auxiliary depolarizations are detected from different cardiac regions during a tachycardia episode. A first time interval is positioned to surround each of one or more primary depolarizations, including auxiliary depolarizations that occur in the first time interval. The auxiliary depolarizations occurring in the first time interval are then counted. Based on the number and the location of the auxiliary depolarizations counted in the first time intervals, the one or more primary depolarizations and the auxiliary depolarizations of the tachycardia episode are classified as disassociated or associated.

Abstract: A cardiac rhythm management system including a highly sensitive technique for discriminating AF from AFL. An electrode disposed in or about a heart senses a cardiac signal. A controller through a sensing circuit receives the sensed cardiac signal from the electrode and processes the sensed cardiac signal to compute an average cycle length-to-cycle length variation based on serial interval relationships from the sensed cardiac signal, and then comparing the computed average cycle length-to-cycle length variation to one or more pre-determined threshold values to discriminate AF from AFL. As a result of substantial difference in cycle length-to-cycle length variation between AF and AFL (despite similar average cycle lengths), the sequence-based measure of cycle length-to-cycle length variability proves to be a highly specific and reliable discriminator of AF from AFL.

Abstract: A cardiac rhythm management system including a highly sensitive technique for discriminating AF from AFL. An electrode disposed in or about a heart senses a cardiac signal. A controller through a sensing circuit receives the sensed cardiac signal from the electrode and processes the sensed cardiac signal to compute an average cycle length-to-cycle length variation based on serial interval relationships from the sensed cardiac signal, and then comparing the computed average cycle length-to-cycle length variation to one or more pre-determined threshold values to discriminate AF from AFL. As a result of substantial difference in cycle length-to-cycle length variation between AF and AFL (despite similar average cycle lengths), the sequence-based measure of cycle length-to-cycle length variability proves to be a highly specific and reliable discriminator of AF from AFL.

Abstract: A method and system for classifying tachyarrhythmia episodes as associated or disassociated. Primary and auxiliary depolarizations are detected from different cardiac regions during a tachycardia episode. A first time interval is positioned to surround each of one or more primary depolarizations, including auxiliary depolarizations that occur in the first time interval. The auxiliary depolarizations occurring in the first time interval are then counted. Based on the number and the location of the auxiliary depolarizations counted in the first time intervals, the one or more primary depolarizations and the auxiliary depolarizations of the tachycardia episode are classified as disassociated or associated.

Abstract: A system and method for detection of specific cardiac depolarization events, such as atrial and ventricular beats. Cardiac electrical activity is sensed to generate a sense signal that is decomposed into components by orthogonal filters. Statistical features are extracted from the components and analyzed to detect a specific event. In one embodiment, the sense signal is decomposed into frequency components by bandpass filtering. The design of the bandpass filters is such that the frequency components can be analyzed to determine whether they match the frequency components of a template signal corresponding to the specific cardiac depolarization event.

Abstract: A rate smoothing function used in implantable pulse generators uses detected triggering events, which cause the rate smoothing function to be activated or deactivated, and detected parameter adjusting events, which cause parameter(s) of the rate smoothing function to be changed. In one example, the activation/deactivation and/or change to the parameters of the rate smoothing function are temporary, and the pre- event state of the rate smoothing function is set to a post-adjusting state, such as after a first time interval. Rate smoothing may be selected, activated or deactivated, or adjusted based on a cardiac signal state, or based on an activity or other physiological sensor signal. The adjusted rate smoothing parameters may include an up-smoothing percentage to limit a speed of pacing rate increase and a down-smoothing percentage to limit a speed of pacing rate drop.

Abstract: A method for determining the sleep state of a patient includes monitoring heart rate variability of the patient and determining sleep state based on the heart rate variability. The method also may include monitoring the frequency of eyelid movements and making the sleep state determination based also on the frequency of eyelid movements. A method for determining respiratory pattern includes monitoring heart rate variability by receiving heart beat signals and determining respiratory pattern from the strength of the signals. A home-based, wearable, self-contained system determines sleep-state and respiratory pattern, and assesses cardiorespiratory risk, of a patient based on the frequency of eyelid movements, the frequency of head movements, and heart rate variability of the patient.