Abstract: A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an implantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

Abstract: An approach to providing disordered breathing therapy includes detecting disordered breathing and adapting a therapy to mitigate the disordered breathing. The therapy may be adapted to enhance therapy effectiveness, to provide therapy that reduces an impact of the therapy on the patient, or to achieve other therapeutic goals. Cardiac electrical therapy to mitigate the disordered breathing may include various cardiac pacing regimens and/or delivery of non-excitatory electrical stimulation to the heart.

Abstract: A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an implantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

Abstract: A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an implantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

Abstract: An approach for predicting disordered breathing involves detecting one or more conditions associated with disordered breathing. The detected conditions are compared to disordered breathing prediction criteria. A prediction of disordered breathing is performed based on the comparison of the detected conditions to the prediction criteria. At least one of comparing the detected conditions to the prediction criteria and predicting disordered breathing is performed at least in part implantably.

Abstract: An evaluation of heart failure status is provided based on a disordered breathing index. Patient respiration is sensed and a respiration signal is generated. Disordered breathing episodes are detected based on the respiration signal. A disordered breathing index is determined based on the disordered breathing episodes. The disordered breathing index is trended and used to evaluate heart failure status. The disordered breathing index may be combined with additional information and/or may take into account patient activity, posture, sleep stage, or other patient information.

Abstract: An evaluation of heart failure status is provided based on a disordered breathing index. Patient respiration is sensed and a respiration signal is generated. Disordered breathing episodes are detected based on the respiration signal. A disordered breathing index is determined based on the disordered breathing episodes. The disordered breathing index is trended and used to evaluate heart failure status. The disordered breathing index may be combined with additional information and/or may take into account patient activity, posture, sleep stage, or other patient information.

Abstract: An approach to providing disordered breathing therapy includes detecting disordered breathing and adapting a therapy to mitigate the disordered breathing. The therapy may be adapted to enhance therapy effectiveness, to provide therapy that reduces an impact of the therapy on the patient, or to achieve other therapeutic goals. Cardiac electrical therapy to mitigate the disordered breathing may include various cardiac pacing regimens and/or delivery of non-excitatory electrical stimulation to the heart.

Abstract: An approach to providing disordered breathing therapy includes providing therapy based on a prediction of disordered breathing. One or more patient conditions are detected and used to predict disordered breathing. Therapy is delivered to mitigate the predicted disordered breathing. The disordered breathing therapy may be adapted to enhance therapy efficacy and/or to reduce the impact of the therapy to the patient.

Abstract: An approach to providing disordered breathing therapy includes detecting disordered breathing and adapting a therapy to mitigate the disordered breathing. The therapy may be adapted to enhance therapy effectiveness, to provide therapy that reduces an impact of the therapy on the patient, or to achieve other therapeutic goals. Cardiac electrical therapy to mitigate the disordered breathing may include various cardiac pacing regimens and/or delivery of non-excitatory electrical stimulation to the heart.

Abstract: An approach to providing disordered breathing therapy includes providing therapy based on a prediction of disordered breathing. One or more patient conditions are detected and used to predict disordered breathing. Therapy is delivered to mitigate the predicted disordered breathing. The disordered breathing therapy may be adapted to enhance therapy efficacy and/or to reduce the impact of the therapy to the patient.

Abstract: An approach for predicting disordered breathing involves detecting one or more conditions associated with disordered breathing. The detected conditions are compared to disordered breathing prediction criteria. A prediction of disordered breathing is performed based on the comparison of the detected conditions to the prediction criteria. At least one of comparing the detected conditions to the prediction criteria and predicting disordered breathing is performed at least in part implantably.

Abstract: An approach for predicting disordered breathing involves detecting one or more conditions associated with disordered breathing. The detected conditions are compared to disordered breathing prediction criteria. A prediction of disordered breathing is performed based on the comparison of the detected conditions to the prediction criteria. At least one of comparing the detected conditions to the prediction criteria and predicting disordered breathing is performed at least in part implantably.

Abstract: This patent document discusses systems, devices, and methods for increasing a sensitivity or specificity of thoracic fluid detection in a subject and differentiating between pleural effusion and pulmonary edema. In one example, a thoracic impedance measurement circuit senses a thoracic impedance signal. In another example, a processor receives the thoracic impedance signal and determines whether such thoracic impedance signal is “significant.” A significant thoracic impedance signal indicates the presence of thoracic fluid and may be recognized by comparing the thoracic impedance signal (or variation thereof) to a thoracic impedance threshold. When a significant thoracic impedance signal is recognized, the processor is adapted to detect one or both of: a pleural effusion indication and a pulmonary edema indication using one or a combination of: physiologic information, patient symptom information, and posture information.

Abstract: Methods and systems involve adjusting cardiac pacing based on information acquired via a respiratory therapy device. A medical system includes a respiratory therapy device having one or more sensors and a therapy delivery unit. The one or more sensors are configured to sense respiration cycles. The therapy delivery unit is configured to deliver an external respiratory therapy to the patient. The medical system also includes a pulse generator configured to deliver cardiac pacing pulses to the patient. A controller is coupled to the one or more sensors and the pulse generator. The control unit configured to adjust a cardiac pacing rate based on the patient's respiration cycles.

Abstract: Devices and methods for detecting disordered breathing involve determining that the patient is asleep and sensing one or more signals associated with disordered breathing indicative of sleep-disordered breathing while the patient is asleep. Sleep-disordered breathing is detected using the sensed signals associated with disordered breathing. The sensed signals associated with disordered breathing may also be used to acquire a respiration pattern of one or more respiration cycles. Characteristics of the respiration pattern are determined. The respiration pattern is classified as a disordered breathing episode based on the characteristics of the respiration pattern. One or more processes involved in the detection of disordered breathing are performed using an implantable device.

Abstract: A cardiac rhythm management (CRM) system includes a non-invasive hemodynamic sensing device and an implantable medical device to sense a hemodynamic signal and derive one or more cardiac performance parameters from the hemodynamic signal. The non-invasive hemodynamic sensing device includes at least a portion configured for external attachment to a body in which the implantable medical device is implanted. The one or more cardiac performance parameters are used for various diagnostic, monitoring, and therapy control purposes.

Abstract: An evaluation of heart failure status is provided based on a disordered breathing index. Patient respiration is sensed and a respiration signal is generated. Disordered breathing episodes are detected based on the respiration signal. A disordered breathing index is determined based on the disordered breathing episodes. The disordered breathing index is trended and used to evaluate heart failure status. The disordered breathing index may be combined with additional information and/or may take into account patient activity, posture, sleep stage, or other patient information.

Abstract: Systems and methods provide for determining blood gas saturation based on one or more measured respiration parameters. A parameter of respiration is measured implantably over a duration of time. The measured respiratory parameter is associated with a blood gas saturation level. Blood gas saturation is determined based on the measured respiration parameter. At least one of associating the measured respiratory parameter and determining blood gas saturation is preferably preformed implantably.

Abstract: The presence of disordered breathing is detected using an implantable medical device. A cardiac condition is detected that is indicative of the patient's cardiac status. Based on the presence of disordered breathing and the cardiac condition, the patient is identified as suitable for a cardiac resynchronization therapy.