Abstract: A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart beats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Abstract: A cardiac rhythm management system provides a phonocardiographic image indicative of a heart's mechanical events related to hemodynamic performance. The phonocardiographic image includes a stack of acoustic sensor signal segments representing multiple cardiac cycles. Each acoustic sensor signal segment includes heart sounds indicative of the heart's mechanical events and representations of the heart's electrical events. The stack of acoustic sensor signal segments are aligned by a selected type of the heart's mechanical or electrical events and are grouped by a cardiac timing parameter for presentation.

Abstract: A system comprising an implantable medical device (IMD). The IMD includes an implantable sensor operable to produce an electrical signal representative of mechanical activity of a heart of a subject and a controller circuit coupled to the sensor. The IMD also includes a heart sound sensor interface circuit to produce a heart sound signal, a tachyarrhythmia detector, and a controller circuit. The controller circuit includes a hemodynamic stability assessment module configured to determine that at least one episode of ventricular tachyarrhythmia is detected in a subject and obtain a measurement of hemodynamic stability of the ventricular tachyarrhythmia from the heart sound signal.

Abstract: A cardiac rhythm management system provides for assessment of cardiac mechanical dyssynchrony based on heart sound morphology and optimization of pacing parameters based on the effect of pacing on the cardiac mechanical dyssynchrony assessment. A degree of cardiac mechanical dyssynchrony is measured by the time delay between tricuspid valve closure and mitral valve closure and/or the time delay between pulmonary valve closure and aortic valve closure. A cardiac resynchronization therapy is optimized by determining therapy parameters to provide an approximately minimum degree of cardiac mechanical dyssynchrony by cardiac pacing.

Abstract: A cardiac rhythm management (CRM) system includes an implantable medical device that delivers anti-tachyarrhythmia therapies including anti-tachyarrhythmia pacing (ATP) and at least one hemodynamic sensor that senses a hemodynamic signal. When a tachyarrhythmia episode is detected, the CRM system analyzes the hemodynamic signal to determine whether and/or when to deliver an ATP. In one embodiment, a hemodynamic parameter extracted from the hemodynamic signal is used to predict the potential effective of ATP in terminating the detected tachyarrhythmia episode. In another embodiment, a characteristic feature detected from the hemodynamic signal is used to determine an ATP window during which a delivery of ATP is initiated.

Abstract: A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart beats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Abstract: Systems and methods provide for detecting respiration disturbances and changes in respiration disturbances, preferably by detecting variability in one or more respiration parameters. Respiration rate variability is determined for a variety of diagnostic and therapeutic purposes, including disease/disorder detection, diagnosis, treatment, and therapy titration. Systems and methods provide for generating a footprint, such as a two- or three-dimensional histogram, representative of a patient's respiration parameter variability, and generating one or more indices representative of quantitative measurements of the footprint.

Abstract: A system, method, or device monitor a force-frequency relationship exhibited by a patient's heart. A contractility characteristic, such as a heart sound characteristic of an S1 heart sound, is measured. The contractility characteristic indicates the forcefulness of a contraction of the heart. The frequency at which the heart is contracting is determined. A group of (contractility characteristic, heart rate) pairs is stored in a memory device. The group of pairs defines a force-frequency relationship for the heart. The method may be implemented by an implantable device, or by a system including a implantable device.

Abstract: A system and method for managing preload reserve and tracking the inotropic state of a patient's heart. The S1 heart sound is measured as a proxy for direct measurement of stroke volume. The S3 heart sound may be measured as a proxy for direct measurement of preload level. The S1-S3 pair yield a point on a Frank Starling type of curve, and reveal information regarding the patient's ventricular operating point and inotropic state. As an alternative, or in addition to, measurement of the S3 heart sound, the S4 heart sound may be measured or a direct pressure measurement may be made for the sake of determining the patient's preload level. The aforementioned measurements may be made by a cardiac rhythm management device, such as a pacemaker or implantable defibrillator.

Abstract: Systems and methods for evaluating a patient condition using autonomic balance information involve providing an implantable cardiac device that acquires a cardiac waveform from a patient. One or more characteristics associated with autonomic balance of the patient are detected and used to evaluate a patient condition, such as sleep onset, sleep stage, cardiac vulnerability over a predetermined duration, and sleep disordered breathing. Patient activity levels may be sensed and used to evaluate the patient's condition, such as for determining a level of systemic stress. Characteristics associated with the autonomic balance include calculating an LF/HF ratio waveform and/or determining one or more morphological features of the LF/HF ratio waveform. Coordination with a patient-external device may facilitate transmission of information about one or more of the cardiac waveform, the one or more characteristics associated with the autonomic balance, and a marked cardiac waveform.

Abstract: An implantable device and method for monitoring S1 heart sounds with a remotely located accelerometer. The device includes a transducer that converts heart sounds into an electrical signal. A control circuit is coupled to the transducer. The control circuit is configured to receive the electrical signal, identify an S1 heart sound, and to convert the S1 heart sound into electrical information. The control circuit also generates morphological data from the electrical information. The morphological data relates to a hemodynamic metric, such as left ventricular contractility. A housing may enclose the control circuit. The housing defines a volume coextensive with an outer surface of the housing. The transducer is in or on the volume defined by the housing.

Abstract: A system to monitor heart sounds, such as to detect a worsening condition of heart failure decompensation. The system comprises a medical device that includes an implantable multi-axis heart sound sensor, operable to produce, for each of at least two nonparallel axes, an electrical signal representative of at least one heart sound, the heart sound associated with mechanical activity of a patient's heart. The device further includes a controller circuit coupled to the heart sound sensor. The controller circuit measures components of the heart sound that respectively correspond to each of the axes.

Abstract: A computationally efficient method for assessing a subject's autonomic balance by measurement of heart rate variability is disclosed which is particularly suitable for implementation by an implantable medical device. Statistical surrogates are used to represent frequency components of an RR time series. A ratio of the low frequency component to the high frequency component may then be estimated to assess the subject's autonomic balance.

Abstract: A cardiac rhythm management system modulates the delivery of pacing and/or autonomic neurostimulation pulses based on heart rate variability (HRV). An HRV parameter being a measure of the HRV is produced to indicate a patient's cardiac condition, based on which the delivery of pacing and/or autonomic neurostimulation pulses is started, stopped, adjusted, or optimized. In one embodiment, the HRV parameter is used as a safety check to stop an electrical therapy when it is believed to be potentially harmful to continue the therapy.

Abstract: A cardiac rhythm management system modulates the delivery of pacing and/or autonomic neurostimulation pulses based on heart rate variability (HRV). An HRV parameter being a measure of the HRV is produced to indicate a patient's cardiac condition, based on which the delivery of pacing and/or autonomic neurostimulation pulses is started, stopped, adjusted, or optimized. In one embodiment, the HRV parameter is used to evaluate a plurality of parameter values for selecting an approximately optimal parameter value.

Abstract: A cardiac rhythm management system modulates the delivery of pacing and/or autonomic neurostimulation pulses based on heart rate variability (HRV). An HRV parameter being a measure of the HRV is produced to indicate a patient's cardiac condition, based on which the delivery of pacing and/or autonomic neurostimulation pulses is started, stopped, adjusted, or optimized. In one embodiment, the HRV parameter is used to adjust a maximum tracking rate in an atrial tracking pacing mode.

Abstract: A system and method for assessing cardiac performance through cardiac vibration monitoring is described. Cardiac vibration measures are directly collected through an implantable medical device. Cardiac events including at least one first heart sound reflected by the cardiac vibration measures are identified. The first heart sound is correlated to cardiac dimensional measures relative to performance of an intrathoracic pressure maneuver. The cardiac dimensional measures are grouped into at least one measures set corresponding to a temporal phase of the intrathoracic pressure maneuver. The at least one cardiac dimensional measures set is evaluated against a cardiac dimensional trend for the corresponding intrathoracic pressure maneuver temporal phase to represent cardiac performance.

Abstract: A system or method including a device configured to measure at least one pharmacological effect of a drug on a patient. The measured pharmacological effect is compared to an expected pharmacodynamic model. The system can allow for real-time monitoring of positive and side-effects of drugs as well as drug resistance to optimize individual therapy. The system can also enable patient compliance monitoring.

Abstract: A cardiac rhythm management system provides for assessment of cardiac mechanical dyssynchrony based on heart sound morphology and optimization of pacing parameters based on the effect of pacing on the cardiac mechanical dyssynchrony assessment. A degree of cardiac mechanical dyssynchrony is measured by the time delay between tricuspid valve closure and mitral valve closure and/or the time delay between pulmonary valve closure and aortic valve closure. A cardiac resynchronization therapy is optimized by determining therapy parameters to provide an approximately minimum degree of cardiac mechanical dyssynchrony by cardiac pacing.

Abstract: A system receives signals indicative of cardiopulmonary conditions sensed by a plurality of sensors and provides for monitoring and automated differential diagnosis of the cardiopulmonary conditions based on the signals. Cardiogenic pulmonary edema is detected based on one or more signals sensed by implantable sensors. If the cardiogenic pulmonary edema is not detected, obstructive pulmonary disease and restrictive pulmonary disease are each detected based on a forced vital capacity (FVC) parameter and a forced expiratory volume (FEV) parameter measured from a respiratory signal sensed by an implantable or non-implantable sensor. In one embodiment, an implantable medical device senses signals indicative of the cardiopulmonary conditions, and an external system detects the cardiopulmonary conditions based on these signals by executing an automatic detection algorithm.