Abstract:
An example method includes monitoring a first posture including a first lateral decubitus posture (LDP), recording a first LDP record based on the first LDP, computing a first posture trend based on the first LDP record and determining and providing a wellness indication based on the first posture trend.
Abstract:
A device can include a multi-dimensional posture sensor that provides an electrical sensor output representative of alignment of first, second, and third non-parallel axes of the device with the gravitational field of the earth, and a processor that includes a calibration circuit and a posture circuit. The calibration circuit measures a first sensor output for the first device axis and a second sensor output for one of a second device axis while the subject is in a first specified posture, measures sensor outputs for the first, second, and third device axes while the subject is in a second specified posture, calculates one or more coordinate transformations, generates transformed sensor outputs using the coordinate transformations, and calibrates the posture sensor by calculating a calibration transformation using the first and second sensor outputs and the transformed sensor outputs. The posture circuit determines a subsequent posture of the subject using the posture sensor.
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:
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 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:
The health state of a subject is automatically evaluated or predicted using at least one implantable device. In varying examples, health state is determined by sensing or receiving information about at least one physiological process having a circadian rhythm whose presence, absence, or baseline change is associated with impending disease, and comparing such rhythm to baseline circadian rhythm prediction criteria. Other chronobiological rhythms beside circadian may also be used. Baseline prediction criteria may be derived using one or more past physiological process observation of the subject or population of subjects in a non-disease health state. Prediction processing may be performed by the at-least one implantable device or by an external device in communication therewith. Systems and methods for invoking a therapy in response to the health state, such as to prevent or minimize the consequences of predicted impending heart failure, are also discussed.
Abstract:
An implantable system for ambulatory monitoring of a high-risk heart failure patient includes a first pressure sensor (12) implantable within an abdomen of the patient for sensing and generating an output representative of a baseline intra-abdominal pressure value of the patient and for chronically sensing and generating an output representative of an intra-abdominal pressure value of the patient at periodic intervals. At least one second implantable sensor (18) is provided for sensing and generating an output representative of a second physiological parameter of the patient. Additionally, the system includes a processor for correlating the output of the first pressure sensor and the second physiologic sensor, and for comparing differences between the baseline intra-abdominal pressure value and subsequent intra-abdominal pressure values. The processor can reside in another implantable device (14) or in an external device/system (16).
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 implantable or other ambulatory medical apparatus comprises a posture sensing circuit, a physiologic sensing circuit that senses a time varying physiologic signal, and a processor circuit. The processor circuit includes a posture calculation circuit and a measurement circuit. The posture calculation circuit determines a posture of the subject using posture data obtained using the posture signal and determines when the posture of the subject is steady state. The measurement circuit derives a physiologic measurement using physiologic data extracted from the physiologic signal during at least one time period when posture is determined to be steady state and provides the physiologic measurement to at least one of a user and a process in association with the determined steady state posture.
Abstract:
An implantable or other ambulatory medical apparatus comprises a posture sensing circuit, a physiologic sensing circuit that senses a time varying physiologic signal, and a processor circuit. The processor circuit includes a posture calculation circuit and a measurement circuit. The posture calculation circuit determines a posture of the subject using posture data obtained using the posture signal and determines when the posture of the subject is steady state. The measurement circuit derives a physiologic measurement using physiologic data extracted from the physiologic signal during at least one time period when posture is determined to be steady state and provides the physiologic measurement to at least one of a user and a process in association with the determined steady state posture.