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: An apparatus comprises plurality of sensors and a processor. Each sensor provides a sensor signal that includes physiological information and at least one sensor is implantable. The processor includes a physiological change event detection module that detects a physiological change event from a sensor signal and produces an indication of occurrence of one or more detected physiological change events, and a heart failure (HF) detection module. The HF detection module determines, using a first rule, whether the detected physiological change event is indicative of a change in HF status of a subject, determines whether to override the first rule HF determination using a second rules, and declares whether the change in HF status occurred according to the first and second rules.

Abstract: Implantable devices having motion sensors. In some examples the a configuration is generated for the implantable device to use the motion sensor in an energy preserving mode in which one or more axis of detection of the motion sensor is disabled or ignored. In some examples the motion sensor outputs along multiple axes are analyzed to determine which axes best correspond to certain patient parameters including patient motion/activity and/or cardiac contractility. In other examples the output of the motion sensor is observed across patient movements or postures to develop conversion parameters to determine a patient standard frame of reference relative to outputs of the motion sensor of an implanted device.

Abstract: Methods and devices for configuring the use of a motion sensor in an implantable cardiac device. The electrical signals of the patient's heart are observed and may be correlated to the physical motion of the heart as detected by the motion sensor of the implantable cardiac device in order to facilitate temporal configuration of motion sensor data collection that avoids detecting cardiac motion in favor of overall motion of the patient.

Abstract: Systems, devices and methods for using environmental data to manage health care are disclosed. One aspect is an advanced patient management system. In various embodiments, the system includes at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness, means to acquire at least one environmental parameter from at least one external source, and means to correlate the at least one parameter indicative of patient wellness and the at least one environmental parameter to assist with patient health care decisions. Other aspects and embodiments are provided herein.

Abstract: A system and method automatically calibrate a posture sensor, such as by detecting a walking state or a posture change. For example, a three-axis accelerometer can be used to detect a patient's activity or posture. This information can be used to automatically calibrate subsequent posture or acceleration data.

Abstract: An embodiment of a device for reporting a heart failure status of a patient comprises: a parameter acquisition module configured to acquire at least one trended heart failure parameter; a predetermined event acquisition module configured to acquire at least one predetermined event corresponding to the at least one trended heart failure parameter, wherein each of the at least one predetermined event represents an event condition where a predetermined event definition is satisfied; an alert acquisition module configured to acquire at least one heart failure status alert associated with the at least one predetermined event, wherein each of the at least one alert represents an alert condition where a predetermined alert definition is satisfied; and an output communication module configured to communicate the at least one heart failure status alert.

Abstract: Systems and methods for monitoring pulmonary edema or other thoracic fluid status in a subject use thoracic impedance histogram information. An internal or external processor circuit receives the thoracic impedance histogram information and uses it to compute and provide a lung fluid status indication. The thoracic impedance histogram information can include a count, mean or median of a histogram bin or subrange of bins within the histogram range.

Abstract: Some embodiments, by way of example, provide a system, comprising a posture change detector configured to detect a posture transition indicative of an increased risk of syncope, and a neural stimulator configured to deliver a neural stimulation therapy. The neural stimulator may include a syncope avoidance module configured to respond to a detected posture transition by temporarily overriding the neural stimulation therapy to ameliorate the risk of increased syncope.

Abstract: A device embodiment is configured to deliver vagal stimulation therapy (VST) to a vagus nerve of a patient. The device embodiment includes a neural stimulator, an implantable impedance sensor and an impedance analyzer. The neural stimulator is configured to deliver the VST to the vagus nerve in a cervical region of the patient. The implantable impedance sensor is configured to detect impedance changes in a cervical region of the patient caused by laryngeal vibrations. The impedance sensor is configured to generate sensed impedance values. The impedance analyzer is configured to analyze the sensed impedance values generated by the sensor. The analyzer is configured to detect laryngeal vibrations or cough from the sensed impedance values.

Abstract: An apparatus comprises plurality of sensors and a processor. Each sensor provides a sensor signal that includes physiological information and at least one sensor is implantable. The processor includes a physiological change event detection module that detects a physiological change event from a sensor signal and produces an indication of occurrence of one or more detected physiological change events, and a heart failure (HF) detection module. The HF detection module determines, using a first rule, whether the detected physiological change event is indicative of a change in HF status of a subject, determines whether to override the first rule HF determination using a second rules, and declares whether the change in HF status occurred according to the first and second rules.

Abstract: A method and a system of phrenic nerve stimulation detection in conjunction with posture sensing is disclosed. In an embodiment, the method may include receiving a trigger for conducting a pace-induced phrenic nerve stimulation (PS) search using the IMD within the patient. On receiving the trigger, the IMD may be used for conducting the PS search. A procedure of conducting the PS search may include measuring a posture of the patient using an implantable posture sensor, searching for PS while the patient is in the measured posture and obtaining a PS result from the PS search for the measured posture. The method may include recording both the PS result and the measured posture in a memory of the IMD.

Abstract: An apparatus comprises plurality of sensors and a processor. Each sensor provides a sensor signal that includes physiological information and at least one sensor is implantable. The processor includes a physiological change event detection module that detects a physiological change event from a sensor signal and produces an indication of occurrence of one or more detected physiological change events, and a heart failure (HF) detection module. The HF detection module determines, using a first rule, whether the detected physiological change event is indicative of a change in HF status of a subject, determines whether to override the first rule HF determination using a second rules, and declares whether the change in HF status occurred according to the first and second rules.

Abstract: Patient posture information can be received, such as to indicate a change in patient posture by at least a threshold amount. A transient response signal indicative of a change in a physiological parameter can be received at multiple instances near a change in patient posture. Waveform morphology features can be extracted from a transient response signal and used to provide an indication of a cardiac status, such as a heart failure status.

Abstract: Patient posture information can be received, such as to indicate a change in patient posture by at least a threshold amount. A transient response signal indicative of a change in a physiological parameter can be received at multiple instances near a change in patient posture. Waveform morphology features can be extracted from a transient response signal and used to provide an indication of a cardiac status, such as a heart failure status.

Abstract: Systems, devices and methods provide for acquiring respiration information. A respiration information device includes timer circuitry to time a plurality of shorter time apertures and a plurality of longer time apertures. A respiration sensor, which may be implemented as a transthoracic impedance sensor, is configured to generate a signal indicative of patient respiration. For each aperture of the plurality of shorter time apertures and for each aperture of the plurality of longer time apertures, an estimated characteristic of the respiration is determined. Respiration metrics are developed using one or both of the estimated respiration characteristics of the shorter time apertures and the estimated respiration characteristics of the longer time apertures.

Abstract: An apparatus comprises a physiologic sensing circuit and a control circuit. The physiologic sensing circuit is configured to sense an electrical respiration signal representative of respiration of a subject. The control circuit includes a respiration monitor circuit and a therapy circuit. The respiration monitor circuit is configured to extract a respiration parameter from the respiration signal and detect that a value of the respiration parameter is outside of a target value range for the respiration parameter. The therapy circuit is configured to deliver neural stimulation to the carotid sinus of the subject to stimulate respiration and to adjust respiration to maintain the value of the respiration parameter within the target value range.

Abstract: Devices and methods for sleep detection involve the use of an adjustable threshold for detecting sleep onset and termination. A method for detecting sleep includes adjusting a sleep threshold associated with a first sleep-related signal using a second sleep-related signal. The first sleep-related signal is compared to the adjusted threshold and sleep is detected based on the comparison. The sleep-related signals may be derived from implantable or external sensors. Additional sleep-related signals may be used to confirm the sleep condition. A sleep detector device implementing a sleep detection method may be a component of an implantable pulse generator such as a pacemaker or defibrillator.

Abstract: A respiration pattern of a number of respiration cycles is detected and breath intervals (BI) and tidal volume (TVOL) measurements of each of the respiration cycles are respectively determined. An unevenly sampled instantaneous minute ventilation (iMV) signal is produced using the BI and TVOL measurements, and an evenly sampled iMV signal (resampled iMV signal) is produced using the unevenly sampled iMV signal. Disordered breathing is detected based on a comparison between a baseline threshold and the resampled iMV signal.

Abstract: Systems and methods for monitoring pulmonary edema or other thoracic fluid status in a subject use thoracic impedance histogram information. An internal or external processor circuit receives the thoracic impedance histogram information and uses it to compute and provide a lung fluid status indication. The thoracic impedance histogram information can include a count, mean or median of a histogram bin or subrange of bins within the histogram range.