Abstract:
A system includes a therapy control circuit, a therapy output circuit; and a physiologic interval sensing circuit configured to receive information about subject physiologic intervals. The therapy circuit is configured to determine a change in therapy that is provided by the therapy output circuit, determine that the change in therapy includes a change to a maximum interval of cardiac electrostimulation provided according to the therapy, detecting a change in a ventricular filling characteristic of the subject in response to the change in maximum interval of cardiac electrostimulation, determine an indication of a physiologic response of the subject to the therapy change using information about the change in the ventricular filling characteristic, and update the subject therapy provided by the therapy output circuit when the determined indication of the physiologic response to the therapy change indicates an increased likelihood of worsening health status of the subject.
Abstract:
Systems and methods for detecting cardiac conditions such as events indicative of worsening of heart failure (HF) are described. A system can receive a physiological signal from a patient, transform one or more first portions of the physiological signal into respective one or more baseline statistical values, transform one or more second portions of the physiological signal into one or more historical extreme values, and generate one or more reference values of a physiologic parameter using the baseline statistical values and the historical extreme values. The system can transform one or more third signal portions of the physiological signal into respective one or more short-term values, and produce a cardiac condition indicator using a combination of relative differences between the short-term values and the corresponding reference values. The system can output the cardiac condition indicator, or deliver therapy according to the cardiac condition indicator.
Abstract:
Devices and methods for detecting an event using a variable threshold. A patient monitoring system can receive physiologic information and compare the information to an onset threshold. When the onset threshold is exceeded, the system shifts to a reset threshold that is different than the onset threshold. When the reset threshold is crossed, the system shifts back to the onset threshold.
Abstract:
Systems, devices, or methods can be used to detect an event, or series of events, that can indicate worsening of congestive heart failure (CHF), or can be used to identify a subject at an elevated risk for developing CHF. A CHF event predictor can be provided using a characteristic minimum of subject cardiac intervals. In an example, the subject cardiac intervals can be obtained during a night-time period or during periods of reduced subject physical activity. A CHF event predictor can be determined using information about physiologic signals received from a subject, such as from a physiologic sensor associated with an ambulatory or implantable medical device.
Abstract:
Disclosed herein, among other things, are methods and apparatus related to identification of apnea type. One aspect of the present subject matter provides a method for real-time apnea discrimination. The method includes sensing an impedance-based tidal volume signal to monitor a respiratory cycle of a patient, and detecting a reduction in tidal swing using the sensed impendence to detect an apnea event. When the apnea event is detected, a shape of the sensed signal is compared to a stored signal shape to determine whether the apnea event is primarily an obstructive sleep apnea (OSA) event or primarily a central sleep apnea (CSA) event, in various embodiments.
Abstract:
An apparatus, such as a cardiac function management system can detect heart sounds following a sensed transition in physical activity level, such as from an elevated physical activity level to rest. A technique can include systems, methods, machine-readable media, or other techniques that can include identifying a physical activity level transition, receiving a heart sound signal, determining characteristics of the heart sound and subject physiologic activity to provide an indication, such as a heart failure status indication.
Abstract:
Disclosed herein, among other things, are methods and apparatus related to identification of apnea type. One aspect of the present subject matter provides a method for real-time apnea discrimination. The method includes sensing an impedance-based tidal volume signal to monitor a respiratory cycle of a patient, and detecting a reduction in tidal swing using the sensed impendence to detect an apnea event. When the apnea event is detected, a shape of the sensed signal is compared to a stored signal shape to determine whether the apnea event is primarily an obstructive sleep apnea (OSA) event or primarily a central sleep apnea (CSA) event, in various embodiments.
Abstract:
Heart sound detection systems and methods can use updated heart sound expectation window functions to detect heart sounds. In an example, an initial heart sound expectation window function that describes a heart sound timing can be a function of a physiologic variable such as heart rate, intrinsic vs. non-intrinsic beat, respiration rate, index of circadian timing, or posture. The function can include at least one characteristic parameter that describes a value of the heart sound timing at a specified value of the physiologic variable. In an example, information about a patient heart sound can be detected and used to update a characteristic parameter of an initial heart sound expectation window function, and an updated heart sound expectation window function can be provided using the updated characteristic parameter.
Abstract:
An apparatus may include an implantable therapy circuit that provides bi-ventricular pacing to a subject, a heart sound signal sensing circuit that produces a sensed heart sound signal that is representative of at least one heart sound associated with mechanical cardiac activity, a memory circuit to store one or more heart sound templates of cardiac capture, and a comparison circuit that compares a segment of the sensed heart sound signal to the one or more heart sound templates of cardiac capture to identify ventricles in which cardiac capture was induced by the bi-ventricular pacing. In some situations, an indication of the ventricles in which cardiac capture was induced may be generated according to the comparison.
Abstract:
An example of a system for pacing through multiple electrodes in a ventricle includes a sensing circuit to sense cardiac signal(s), a pacing output circuit to deliver pacing pulses, a heart sound sensor to sense a heart sound signal, and a control circuit to control the delivery of the pacing pulses. The control circuit includes a heart sound detector to detect heart sounds using the heart sound signal, an electrical event detector to detect cardiac electrical events using the cardiac signal(s), a measurement module to measure an optimization parameter using the detected heart sounds, and an optimization module to approximately optimize one or more pacing parameters using the measured optimization parameter. The one or more pacing parameters include an electrode configuration parameter specifying one or more electrodes selected from the multiple electrodes in the ventricle for delivering ventricular pacing pulses to that ventricle.