Abstract:
A system and method is provided to measure intrathoracic complex impedance and to identify and indicate disease conditions based on the impedance measurements. Multiple impedance vectors may be taken into account, and an optimal vector may be selected to provide the most useful impedance measurement for the identification and indication of disease conditions.
Abstract:
A method and medical monitoring device for determining the occurrence of a premature ventricular contraction that includes sensing a cardiac signal and determining R-waves in response to the sensed cardiac signal, determining RR intervals between the determined R-waves, determining whether a first interval criteria is satisfied in response to the determined intervals, determining a correlation between the determined R-waves, determining whether a first correlation criteria is satisfied in response to the determined correlation, and determining the premature ventricular contraction is occurring in response to the first interval criteria and the first correlation criteria being satisfied.
Abstract:
A method and implantable medical device for determining a flutter event in response to a cardiac signal that includes sensing the cardiac signal, determining a sensing window in response to the sensed cardiac signal, the sensing window having a first portion and a second portion. A first derivative signal and a second derivative signal are determined in response to the sensed cardiac signal within the first portion and the second portion of the sensing window, and a sum of amplitudes of the second derivative signal within one or both of the first portion and the second portion of the sensing window is determined, and the flutter event is determined in response to the determined sum of amplitudes.
Abstract:
A method and medical device for determining a P-wave of a cardiac signal that includes sensing the cardiac signal, determining a P-wave sensing window in response to the sensed cardiac signal, the P-wave sensing window having a first portion and a second portion, determining signal characteristics of the sensed cardiac signal within the first portion and within the second portion, comparing the determined signal characteristics, and determining the P-wave in response to the comparing.
Abstract:
Methods and/or devices are disclosed herein for monitoring cardiac impedance signal and delivering therapy to a patient's heart based upon the monitored cardiac impedance.
Abstract:
Devices, systems, and techniques are disclosed for determining the likelihood that a cardiac event will self-terminate. An example technique includes determining, by processing circuitry and based on current sensed physiological parameters of a patient, that a cardiac event is occurring in the patient. The example technique includes determining, by the processing circuitry- and based on the current sensed physiological parameters of the patient, that the cardiac event is unlikely to self-terminate within a predetermined period of time. The example technique includes, in response to determining that the cardiac event is unlikely- to self-terminate, deliver therapy to the patient or issue an alert.
Abstract:
An example system includes an implantable medical device (IMD), processing circuitry, and communication circuitry. The IMD is configured to receive signals from sensors, determine a plurality of detected patient metrics based on the received signals, and store the plurality of determined patient metrics in the memory. The processing circuitry is to generate higher resolution diagnostic information based on the plurality of patient metrics during an initiated period of time, wherein the initiated period of time is initiated based on an intervention being provided to the patient and/or receiving a user input. The higher resolution diagnostic information is of at least one of the plurality of patient metrics and indicative of heart recovery. The communication circuitry is configured to transmit the higher resolution diagnostic information to indicate a degree of recovery for patient metrics indicative of heart recovery.
Abstract:
A device comprising a computer-readable medium having executable instructions stored thereon, configured to be executable by processing circuitry for causing the processing circuitry to: determine that a patient is experiencing or has experienced an acute health event; cause a motor to move a robotic device to a location proximate the patient; cause a sensor of the robotic device to gather physiological data from the patient; confirm that the patient is experiencing or has experienced the acute health event based on the physiological data; and generate an output in response to confirming that the patient is experiencing or has experienced the acute health event.
Abstract:
A method uses internal patient data from an implantable medical device (IMD) and environmental factor information associated with cardiovascular diseases as input to a predictive cardiovascular disease software tool for enabling alerts, e.g., generated by a computing system configured to receive data from the IMD. A computing system may receive diagnostic metric data from the IMID and time correlated location data of the patient, e.g., from a smartphone, smartwatch, or other computing device of the user. The computing system may use the patient's location, such as from a user's device such a programmer or patient's computing device, to determine a particulate matter exposure level corresponding to the diagnostic metric data that may then be used as an input to a predictive cardiovascular disease software tool to refine the risk score or risk stratification.
Abstract:
This disclosure is directed to devices, systems, and techniques for identifying a respiration rate based on an impedance signal. In some examples, a medical device system includes a medical device including a plurality of electrodes. The medical device is configured to perform, using the plurality of electrodes, an impedance measurement to collect a set of impedance values, where the set of impedance values is indicative of a respiration pattern of a patient. Additionally, the medical device system includes processing circuitry configured to identify a set of positive zero crossings based on the set of impedance values, identify a set of negative zero crossings based on the set of impedance values, and determine, for the impedance measurement, a value of a respiration metric using both the set of negative zero crossings and the set of positive zero crossings.