Abstract:
Systems and methods of providing life support are provided. A life support system includes a first life support device that has a control unit and is configured to apply a life support protocol to a subject. The first life support device also includes a memory unit that can store life support protocol information, and the control unit can provide the life support protocol information to a second life support device. The control unit can also receive operating instructions from the second life support device based on the life support protocol information, and can implement the operating instructions.
Abstract:
An apparatus for assisting a rescuer in performing chest compressions during CPR on a victim, the apparatus comprising a pad or other structure configured to be applied to the chest near or at the location at which the rescuer applies force to produce the chest compressions, at least one sensor connected to the pad, the sensor being configured to sense movement of the chest or force applied to the chest, processing circuitry for processing the output of the sensor to determine whether the rescuer is substantially releasing the chest following chest compressions, and at least one prompting element connected to the processing circuitry for providing the rescuer with information as to whether the chest is being substantially released following chest compressions.
Abstract:
A patient management system is provided herein. The system can include: communications circuitry configured to receive first physiological information relating to a first at least one patient from at least one therapeutic medical device and second physiological information relating to a second at least one patient from at least one monitoring medical device. The system further includes a computing device, which can include a user interface. The user interface can be configured to display the first and second physiological information according to a user selection.
Abstract:
A method of automatically determining which type of treatment is most appropriate for (or the physiological state of) a patient. The method comprises transforming one or more time domain measurements from the patient into frequency domain data representative of the frequency content of the time domain measurements; processing the frequency domain data to form a plurality of spectral bands, the content of a spectral band representing the frequency content of the measurements within a frequency band; forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the spectral bands; determining the type of treatment (or physiological state) based on the weighted sum.
Abstract:
A medical device of the type used for assisting a user in manually delivering repetitive therapy to a patient (e.g., chest compressions or ventilations in cardiac resuscitation), the device comprising a feedback device configured to generate feedback cues to assist the user in timing the delivery of the repetitive therapy, at least one sensor or circuit element configured to detect actual delivery times, at which the user actually delivers the repetitive therapy, and a processor, memory, and associated circuitry configured to compare the actual delivery times to information representative of desired delivery times to determine cue times at which the feedback cues are generated by the feedback device.
Abstract:
A system includes a processor coupled to a memory, the processor and memory configured to determine a proficiency level of a user of a rescue application based on stored data indicative of the user's proficiency level, and based on the user's proficiency level, select a level of operation for the rescue application. The rescue application is executed on a mobile device and configured to control operation of an AED Each of multiple levels of operation for the rescue application allows the user a different degree of control over the operation of the AED The processor and memory are configured to present, to the user, a set of instructions associated with the selected level of operation; and to enable control of the AED according to the selected levels of operation. A different set of instructions is associated with each of the multiple levels.
Abstract:
Systems and methods of providing life support are provided. A life support system includes a first life support device that has a control unit and is configured to apply a life support protocol to a subject. The first life support device also includes a memory unit that can store life support protocol information, and the control unit can provide the life support protocol information to a second life support device. The control unit can also receive operating instructions from the second life support device based on the life support protocol information, and can implement the operating instructions.
Abstract:
A device for assisting a caregiver in delivering therapy to a patient, the device comprising a user interface configured to deliver prompts to a caregiver to assist the caregiver in delivering therapy to a patient; at least one sensor configured to detect the caregiver's progress in delivering the therapy, wherein the sensor is other than an electrode in an electrical contact with the body; a memory in which a plurality of different prompts are stored; a processor configured to determine which of the different prompts should be selected for delivery based on the progress detected by the sensor.
Abstract:
A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.