Abstract: Devices, systems, and techniques are disclosed for verifying the occurrence of an acute health event. An example device includes communication circuitry configured to receive a communication indicative of an acute health event of a patient and memory communicatively coupled to the communication circuitry and being configured to store the indication of the acute health event. The device includes processing circuitry communicatively coupled to the communication circuitry and the memory. The processing circuitry is configured to, in response to the communication, verify the acute health event and based on the verification of the acute health event, send an alert regarding the acute health event.

Abstract: A method comprises identifying P-waves within a cardiac signal stored by a medical device for a cardiac episode detected by the medical device, and calculating a gain factor for display of the cardiac signal based on the identified P-waves.

Abstract: This disclosure is directed to medical systems and techniques configured to test candidate implantation sites. An example medical tool includes a housing for one or more sensors. The housing is configured to be at least partially inserted into a body of a patient. The one or more sensors have a configuration corresponding to one or more sensors of a medical device to be implanted. The medical tool includes communication circuitry configured to transmit, to a computing device, sensor data generated from signals captured by the one or more sensors. The computing device is configured to run a test on the sensor data to identify an implantation site from at least one candidate implantation site for the medical device.

Abstract: This disclosure is directed to devices, systems, and techniques for monitoring a status of a health failure patient. An example system is configured to capture one or more images of a region of interest of the patient via the camera sensor. The system is configured to process the one or more images. The system is configured to determine a result based on the processing, the result being related to the heart failure status of the patient. The system is configured to generate a first indication for output regarding the result.

Abstract: A medical system can be configured to receive medication data for a patient, the medication data being indicative of compliance of the patient with a prescribed medication plan; determine a compliance metric for the patient with the prescribed medication plan based on the medication data, wherein the compliance metric is indicative of a degree of compliance of the patient with the patient with the prescribed medication plan; obtain, via one or more medical devices, values for one or more physiological parameters for the patient; and based on the compliance metric and the values for the one or more physiological parameters for the patient, determine a heart failure risk score for the patient.

Abstract: A device includes a memory and processing circuitry coupled to the memory and configured to: receive, from a medical monitoring device, a set of one or more patient parameters; determine an exercise tolerance level based on the set of one or more patient parameters and based on at least one comorbidity of the patient; determine that a present activity level for the patient exceeds the exercise tolerance level for the patient; and send a notification to the patient in response to determining that the present activity level exceeds the exercise tolerance level for the patient.

Abstract: A medical system includes an implantable cardiac device configured to monitor one or more cardio-thoracic parameters of a patient and one or more external devices configured to receive, from the implantable cardiac device, cardio-thoracic data indicative of the one or more cardio-thoracic parameters over a period of time; determine a long term heart failure risk (HFR) score for the patient based on the cardio-thoracic data; based on a change in the long term HFR score for the patient, determine a modification to a therapy plan of a second implanted device in the patient; and cause the second implanted device to implement the modified therapy plan.

Abstract: This disclosure is directed to devices, systems, and techniques for determining when to deploy sensors. Processing circuitry of an example medical device system is configured to receive first sensor data. The processing circuitry is configured to determine, based on the first sensor data, a likelihood that a heart failure decompensation event of a patient is impending. The processing circuitry is configured to compare the likelihood to a first threshold. The processing circuitry is configured to, based on the likelihood satisfying the first threshold, at least one of a) generate a first instruction for output to a user to deploy one or more biochemical or bacterial sensors, or b) control an implantable medical device to automatically deploy one or more biochemical or bacterial sensors.

Abstract: An example system includes an implantable medical device and processing circuitry.

Abstract: A system comprises processing circuitry and memory comprising program instructions that, when executed by the processing circuitry, cause the processing circuitry to: apply a first set of rules to first patient parameter data for a first determination of whether sudden cardiac arrest of a patient is detected; determine that a one or more context criteria of the first determination are satisfied; and in response to satisfaction of the context criteria, apply a second set of rules to second patient parameter data for a second determination of whether sudden cardiac arrest of the patient is detected. At least the second set of rules comprises a machine learning model, and the second patient parameter data comprises at least one patient parameter that is not included in the first patient parameter data.

Abstract: Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P-wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.

Abstract: A system comprises processing circuitry and memory comprising program instructions that, when executed by the processing circuitry, cause the processing circuitry to: apply a first set of rules to first patient parameter data for a first determination of whether sudden cardiac arrest of a patient is detected; determine that a one or more context criteria of the first determination are satisfied; and in response to satisfaction of the context criteria, apply a second set of rules to second patient parameter data for a second determination of whether sudden cardiac arrest of the patient is detected. At least the second set of rules comprises a machine learning model, and the second patient parameter data comprises at least one patient parameter that is not included in the first patient parameter data.

Abstract: A system includes an implantable medical device and processing circuitry. The implantable medical device includes an accelerometer and sensing circuitry. The processing circuitry obtains, during a calibration period, a first motion signal from the accelerometer. The processing circuitry determines a motion threshold based on the first motion signal. The motion threshold relates to an amount of motion of the patient that is significant for treatment of the health condition of the patient. The processing circuitry obtains, during a collection period, a second motion signal from the accelerometer. Responsive to the second motion signal satisfying the motion threshold, the processing circuitry stores data related to the treatment of the health condition of the patient.

Abstract: Techniques for switching an implantable medical device (IMD) from a first mode to a second mode in relation to signals obtained from internal sensors are described. The internal sensors may include a temperature sensor and a biosensor. In some examples, processing circuitry of the IMD may make a first preliminary determination that the IMD is implanted based on a first signal from the temperature sensor. In response to the first preliminary determination being that the IMD is implanted, the processing circuitry may make a second preliminary determination that the IMD is implanted based on a second signal from the biosensor. The processing circuitry may switch the IMD from a first mode to a second mode based on both the first preliminary determination and the second preliminary determination being that the IMD is implanted.

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: This disclosure is directed to devices, systems, and techniques for establishing a secure connection between two or more devices. In some examples, a device is configured for wireless communication. The device comprises signal reception circuitry configured to receive communications transmitted according to at least a first communication protocol, communication circuitry configured for wireless communication according to at least a second communication protocol, and processing circuitry electrically coupled to the signal reception circuitry and the communication circuitry. The processing circuitry is configured to receive, via the signal reception circuitry, a first signal according to the first communication protocol. In response to receiving the first signal, the processing circuitry is further configured to transmit, via the communication circuitry, a second signal according to the second communication protocol and establish a secure link according to the second communication protocol.

Abstract: Example devices, systems, and techniques are disclosed for providing guidance of a treatment of a patient. An example device includes processing circuitry and memory comprising instructions that, when executed by the processing circuitry, cause the processing circuitry to determine that a device detected an acute health event of a patient or delivery of cardiopulmonary resuscitation to the patient, and analyze sensed patient data in response to the determination. The instructions cause the processing circuitry to provide information for guidance of a treatment of the patient based on the analysis.

Abstract: Devices, systems, and techniques are disclosed for verifying the occurrence of an acute health event. An example device includes communication circuitry configured to receive a communication indicative of an acute health event of a patient and memory communicatively coupled to the communication circuitry and being configured to store the indication of the acute health event. The device includes processing circuitry communicatively coupled to the communication circuitry and the memory. The processing circuitry is configured to, in response to the communication, verify the acute health event and based on the verification of the acute health event, send an alert regarding the acute health event.

Abstract: A method comprises identifying P-waves within a cardiac signal stored by a medical device for a cardiac episode detected by the medical device, and calculating a gain factor for display of the cardiac signal based on the identified P-waves.

Abstract: A method comprises identifying P-waves within a cardiac signal stored by a medical device for a cardiac episode detected by the medical device, and calculating a gain factor for display of the cardiac signal based on the identified P-waves.