Abstract: In response to local or systemic inflammation in a patient, photobiomodulation therapy is applied to a cardiac location to reduce the risk and/or occurrence of cardiac arrhythmia. Once inflammation is identified, photobiomodulation therapy can be applied in any suitable fashion (e.g., via a catheter- or transesophageal probe-mounted photoemitter, via an externally-applied photoemitter, or via photoemitter incorporated into an implantable medical device). Photobiomodulation therapy can also be employed to good advantage in conjunction with non-photobiomodulation therapy (e.g., traditional cardiac rhythm management therapies).

Abstract: In response to local or systemic inflammation in a patient, photobiomodulation therapy is applied to a cardiac location to reduce the risk and/or occurrence of cardiac arrhythmia. Once inflammation is identified, photobiomodulation therapy can be applied in any suitable fashion (e.g., via a catheter- or transesophageal probe-mounted photoemitter, via an externally-applied photoemitter, or via photoemitter incorporated into an implantable medical device). Photobiomodulation therapy can also be employed to good advantage in conjunction with non-photobiomodulation therapy (e.g., traditional cardiac rhythm management therapies).

Abstract: A patient-specific hemodyanmic status model is determined from impedance data collected during periods of normal and abnormal hemodynamic status by deriving parameter values of a set of multiple impedance-derivable parameters from impedance signals collected during periods of normal hemodynamic status and in connection with periods of abnormal hemodynamic status. The parameter values are employed to estimate coefficients of a linear parametric status model. These coefficients can then be used together with parameter values determined from impedance signals determined during status assessment periods in order to determine a current hemdoynamic status of the patient.

Abstract: An implantable medical device has an impedance processor for determining atrial impedance data reflective of the cardiogenic impedance of an atrium of a heart during diastole and/or systole of heart cycle. Ventricular impedance data reflective of the cardiogenic impedance of a ventricle during diastole and/or systole are also determined. The determined impedance data are processed by a representation processor for estimating a diastolic and/or a systolic atrial impedance representation and a diastolic and/or a systolic ventricular impedance representation. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of at least one heart valve based on the estimated atrial and ventricular impedance representations.

Abstract: An implantable medical device has an impedance processor for determining atrial impedance data reflective of the cardiogenic impedance of an atrium of a heart during diastole and/or systole of heart cycle. Ventricular impedance data reflective of the cardiogenic impedance of a ventricle during diastole and/or systole are also determined. The determined impedance data are processed by a representation processor for estimating a diastolic and/or a systolic atrial impedance representation and a diastolic and/or a systolic ventricular impedance representation. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of at least one heart valve based on the estimated atrial and ventricular impedance representations.

Abstract: An implantable medical device has an impedance processor that determines impedance data reflective of the transvalvular impedance of a heart valve of a heart during a heart cycle. The determined impedance data are processed by a representation processor that estimates diastolic and systolic transvalvular impedance representations. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of the heart valve based on the estimated diastolic and systolic transvalvular impedance representations.

Abstract: In response to local or systemic inflammation in a patient, photobiomodulation therapy is applied to a cardiac location to reduce the risk and/or occurrence of cardiac arrhythmia. Once inflammation is identified, photobiomodulation therapy can be applied in any suitable fashion (e.g., via a catheter- or transesophageal probe-mounted photoemitter, via an externally-applied photoemitter, or via photoemitter incorporated into an implantable medical device). Photobiomodulation therapy can also be employed to good advantage in conjunction with non-photobiomodulation therapy (e.g., traditional cardiac rhythm management therapies).

Abstract: In response to local or systemic inflammation in a patient, photobiomodulation therapy is applied to a cardiac location to reduce the risk and/or occurrence of cardiac arrhythmia. Once inflammation is identified, photobiomodulation therapy can be applied in any suitable fashion (e.g., via a catheter- or transesophageal probe-mounted photoemitter, via an externally-applied photoemitter, or via photoemitter incorporated into an implantable medical device). Photobiomodulation therapy can also be employed to good advantage in conjunction with non-photobiomodulation therapy (e.g., traditional cardiac rhythm management therapies).

Abstract: An implantable medical device has an impedance processor for determining atrial impedance data reflective of the cardiogenic impedance of an atrium of a heart during diastole and/or systole of heart cycle. Ventricular impedance data reflective of the cardiogenic impedance of a ventricle during diastole and/or systole are also determined. The determined impedance data are processed by a representation processor for estimating a diastolic and/or a systolic atrial impedance representation and a diastolic and/or a systolic ventricular impedance representation. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of at least one heart valve based on the estimated atrial and ventricular impedance representations.

Abstract: An implantable medical device has an impedance processor for determining atrial impedance data reflective of the cardiogenic impedance of an atrium of a heart during diastole and/or systole of heart cycle. Ventricular impedance data reflective of the cardiogenic impedance of a ventricle during diastole and/or systole are also determined. The determined impedance data are processed by a representation processor for estimating a diastolic and/or a systolic atrial impedance representation and a diastolic and/or a systolic ventricular impedance representation. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of at least one heart valve based on the estimated atrial and ventricular impedance representations.

Abstract: An implantable medical device has an impedance processor that determines impedance data reflective of the transvalvular impedance of a heart valve of a heart during a heart cycle. The determined impedance data are processed by a representation processor that estimates diastolic and systolic transvalvular impedance representations. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of the heart valve based on the estimated diastolic and systolic transvalvular impedance representations.

Abstract: A first ventricle is stimulated at a stimulation site, a point of time for arrival at the AV node for at least one depolarization wave resulting from the stimulation is estimated and a first activation time interval substantially corresponding to the time interval required for at least one depolarization wave to travel from the stimulation site in the first ventricle to the AV node is computed. A similar process is used to compute a second activation time interval for the other ventricle. Based on these activation time intervals and a difference between the intervals, a pacing therapy can be determined.

Abstract: An implantable medical device, is designed to collect a signal representative of the electric activity of the heart and determine a cardiogenic impedance signal for at least a portion of the heart. An R-wave detector of the IMD detects the timing of an R-wave during a cardiac cycle based on the signal representative of the electric activity. A minimum detector detects the timing of a cardiogenic impedance minimum in the cardiogenic impedance signal and within a systolic time window of the cardiac cycle. A detected arrhythmia is then classified by the IMD based on the timing of the R-wave detected by the R-wave detector and the timing of the cardiogenic impedance minimum detected by the minimum detector.

Abstract: An implantable medical device has an impedance processor for determining atrial impedance data reflective of the cardiogenic impedance of an atrium of a heart during diastole and/or systole of heart cycle. Ventricular impedance data reflective of the cardiogenic impedance of a ventricle during diastole and/or systole are also determined. The determined impedance data are processed by a representation processor for estimating a diastolic and/or a systolic atrial impedance representation and a diastolic and/or a systolic ventricular impedance representation. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation and/or stenosis, of at least one heart valve based on the estimated atrial and ventricular impedance representations.

Abstract: An implantable medical device has an impedance processor that determines impedance data reflective of the transvalvular impedance of a heart valve of a heart during a heart cycle. The determined impedance data are processed by a representation processor that estimates diastolic and systolic transvalvular impedance representations. A condition processor determines the presence of any heart valve malfunction, such as valve regurgitation andor stenosis, of the heart valve based on the estimated diastolic and systolic transvalvular impedance representations.

Abstract: The present invention relates to a method for accurately and reliably determining a cardiac status of a patient. An implantable medical device, IMD, comprises a sensor arrangement adapted to sense signals related to mechanical activity of the heart and an activity level sensor arrangement adapted to sense an activity level of the patient. Further, the IMD calculates a percentage of left ventricular diastolic time (PLVDT) for a cardiac cycle corresponding to a relation between a diastolic time interval and a cardiac cycle time interval using the determined systolic and diastolic time intervals or a percentage of left ventricular systolic time (PLVST) for a cardiac cycle corresponding to a relation between a systolic interval time interval and a cardiac cycle time interval using. A cardiac status is determined based on the calculated PLVDT (or PLVST) and on an activity level of the patient.

Abstract: The present invention relates to an improved medical device and method for accurately and reliably determining a cardiac status of a patient. An implantable medical device, IMD, comprises a sensor arrangement adapted to sense signals related to mechanical activity of the heart and an activity level sensor arrangement adapted to sense an activity level of the patient. Further, the IMD calculates a percentage of left ventricular diastolic time (PLVDT) for a cardiac cycle corresponding to a relation between a diastolic time interval and a cardiac cycle time interval using the determined systolic and diastolic time intervals or a percentage of left ventricular systolic time (PLVST) for a cardiac cycle corresponding to a relation between a systolic interval time interval and a cardiac cycle time interval. A cardiac status is determined based on the calculated PLVDT (or PLVST) and on an activity level of the patient.

Abstract: The present invention relates generally to implantable medical devices and more particularly to systems and methods for stimulating a heart of a patient. A first ventricle is activated by delivering stimulation to at least one stimulation site, a point of time for arrival at the AV node for at least one depolarization wave resulting from the stimulation in the first ventricle is estimated and a first activation time interval substantially corresponding to the time interval required for at least one depolarization wave to travel from the stimulation site in the first ventricle to the AV node using the estimated point of time for arrival of the depolarization wave and a point of time for delivery of stimulation is computed. Thereafter, the other ventricle is stimulated by delivering stimulation to at least one stimulation site.

Abstract: In an implantable medical device such as an implantable cardiac defibrillator, and a method for classifying arrhythmia events, IEGM signals are analyzed to detect an arrhythmia event and a respiratory pattern of the patient is sensed. At least one respiratory parameter reflecting characteristics of the respiratory pattern of the patient is determined based on the sensed respiratory pattern and a respiratory measure corresponding to a change of a rate of change of the at least one respiratory parameter is calculated. The detected arrhythmia event is classified based on the respiratory measure and the IEGM signals, wherein arrhythmia events that satisfy at least a first criterion is classified as an arrhythmia event requiring therapy.

Abstract: An implantable medical device (100) is configured for generating a cardiogenic impedance signal representative of the cardiogenic impedance of at least a portion of a heart (10) of a subject (20) during at least a portion of cardiac cycle. A moment processor (132) calculates a moment parameter value based on the cardiogenic impedance signal. The moment parameter is representative of a weighted sum of impedance amplitudes within a time window centered at defined time instance within the cardiac cycle. The weights of the impedance amplitudes are further dependent on the length in time between the defined time instance and the point of time of the associated impedance amplitude. The moment parameter is of high diagnostic value and is employed by an arrhythmia classifier (132) in order to classify a detected arrhythmia of the heart (10), such as discriminate between hemodynamically stable or unstable arrhythmias and/or supraventricular or ventricular tachycardia.