Abstract:
A medical device can include a housing, an energy storage module within the housing to store an electrical charge, and a defibrillation port to guide via electrodes the stored electrical charge to a person in need of medical assistance. The medical device can also include a processor to perform a patient signal analysis on an electrocardiogram (ECG) signal corresponding to the person and further determine, based on a result of the patient signal analysis, whether post-shock transcutaneous pacing should be performed on the person.
Abstract:
Embodiments operate in contexts where field data have been generated from a field event, and annotations have been generated from the field data, which purport to identify events within the field data, such as CPR compressions and ventilations. Metrics are generated from the annotations, which are used in training. In such contexts, a grade may be assigned that reflects how well the annotations meet one or more accuracy criteria. The grade may be used in a number of ways. Reviewers may opt to disregard field data and metrics that have a low grade. Expert annotators may be guided as to precisely which annotations to revise, saving time. A low grade may decide that the results are not emailed to reviewers, but to annotators. A learning medical device can use the grade internally to adjust its own internal parameters so as to improve its annotating algorithms.
Abstract:
A medical device can include a housing, an energy storage module within the housing to store an electrical charge, and a defibrillation port to guide via electrodes the stored electrical charge to a person in need of medical assistance. The medical device can also include a processor to analyze patient physiological signal(s) that indicate heart viability. Positive measures of heart viability measures can qualify the patient for a customized treatment paradigm.
Abstract:
A CPR system includes a retention structure to retain the patient's body, and a compression mechanism to perform CPR compressions to the patient's chest. The CPR system further includes a processor to control the compression mechanism, and thus the performance of the CPR compressions. In embodiments, the CPR system compresses at a rate or frequency that is varied based on feedback gathered from physiological sensors that detect physiological characteristics of the patient during treatment.
Abstract:
Medical device, system, method for capturing medical images includes an image capture and processing portion and an interchangeable medical tool portion. The image capture and processing portion is configured to capture and process a photo image, a video stream of images, or a coded image. The interchangeable medical tool portion is configured to connect to the image capture and processing portion. The image capture and processing portion further includes a configuration module configured to detect a connection of the medical tool portion to the image capture and processing portion, determine the type of the interchangeable medical tool portion connected, and adapt the image capture and processing portion to the detected type of the medical tool portion. The medical device may transmit medical images to an external device for interpretation by an expert, providing coaching to the user of the medical device, and for asset management, decision support, and/or other purposes.
Abstract:
A CPR machine (100) is configured to perform compressions on a patient's (182) chest that alternate with releases. The CPR machine includes a compression mechanism (148), and a driver system (141) configured to drive the compression mechanism. A compression force may be sensed, and the driving is adjusted accordingly if there is a surprise. For instance, driving may have been automatic according to a motion-time profile, which is adjusted if the compression force is not as expected (850). An optional chest-lifting device (152) may lift the chest between the compressions, to assist actively the decompression of the chest. A lifting force may be sensed, and the motion-time profile can be adjusted if the compression force or the lifting force is not as expected. An advantage is that a changing condition in the patient or in the retention of the patient within the CPR machine may be detected and responded to.
Abstract:
When a defibrillator selects a dosage of energy or current to be delivered to a patient, the defibrillator selects an excitation current frequency and applies the excitation current at the selected frequency to the patient. The frequency of the excitation current is selected as a function of the dosage to be delivered. The patient's response to the excitation current at the selected frequency will accurately reflect the impedance that the defibrillator will “see” when delivering the selected dosage of energy or current.
Abstract:
A CPR system includes a retention structure to retain the patient's body, and a compression mechanism to perform CPR compressions to the patient's chest. The CPR system further includes a processor to control the compression mechanism, and thus the performance of the CPR compressions. In embodiments, the CPR system compresses at a rate or frequency that is varied based on feedback gathered from physiological sensors that detect physiological characteristics of the patient during treatment.
Abstract:
The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.
Abstract:
The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.