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:
A system comprising processing circuitry configured to receive a wirelessly-transmitted message from a medical device, the message indicating that the medical device detected an acute health event of the patient. In response to the message, the processing circuitry is configured to determine a location of the patient, determine an alert area based on the location of the patient, and control transmission of an alert of the acute heath event of the patient to any one or more computing devices of one or more potential responders within the alert area.
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 method and implantable medical device for determining noise 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 comprising a first portion and a second portion, determining a first derivative signal in response to the sensed cardiac signal within only one of the first portion and the second portion of the sensing window, determining a second derivative signal in response to the sensed cardiac signal within the one of the first portion and the second portion of the sensing window, determining whether an amplitude of the second derivative signal satisfies an amplitude threshold, and determining noise in response to the amplitude of the second derivative signal satisfying the amplitude threshold.
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:
An example device of a patient includes an antenna configured to wirelessly receive communication from a medical device; and processing circuitry coupled to the antenna and configured to: determine that the received communication indicates that a patient is experiencing an acute health event; in response to the determination, determine one or more physical states of the patient based on sensed data from one or more sensors; confirm that the patient is not experiencing the acute health event based on the determined one or more physical states; and output information based on the confirmation that the patient is not experiencing the acute health event.
Abstract:
An example device of a patient includes an antenna configured to wirelessly receive communication from a medical device; and processing circuitry coupled to the antenna and configured to: determine that the received communication indicates that a patient is experiencing an acute health event; in response to the determination, determine one or more physical states of the patient based on sensed data from one or more sensors; confirm that the patient is not experiencing the acute health event based on the determined one or more physical states; and output information based on the confirmation that the patient is not experiencing the acute health event.
Abstract:
A method and implantable medical device for determining an atrial arrhythmia event that includes sensing a cardiac signal, determining an atrial arrhythmia score for identifying the arrhythmia event in response to the sensed cardiac signal, determining a sensing window in response to the sensed cardiac signal, the 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, determining whether the sensed cardiac signal within the first portion and within the second portion corresponds to a P-wave in response to the determined signal characteristics, determining whether a signal to noise ratio of the sensed cardiac signal within the first portion and the second portion of the sensing window is satisfied, determining whether to update the arrhythmia score in response to the determined P-wave and the determined signal to noise ratio, and determining whether to delivery an arrhythmia therapy in response to the updated arrhythmia score.
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.