Abstract:
A CPR machine (100) is configured to perform, on a patient's (182) chest, compressions that alternate with releases. The CPR machine includes a compression mechanism (148), and a driver system (141) configured to drive the compression mechanism. A force sensing system (149) may sense a compression force, and the driving can be 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.
Abstract:
Examples of the disclosure are directed to a patient support apparatus including a frame having a deck structured to support a patient, a retention device structured to secure the patient on the deck, and a compression device attached to the frame at the deck, the compression device including a compression mechanism structured to extend toward the patient and retract at least partially below the deck. In some examples, the compression device includes an inflatable bladder or a rotating cam having a lobe to provide the compression.
Abstract:
A CPR machine (100) is configured to perform, on a patient's (182) chest, compressions that alternate with releases. The CPR machine includes a compression mechanism (148), and a driver system (141) configured to drive the compression mechanism. A force sensing system (149) may sense a compression force, and the driving can be 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.
Abstract:
A CPR machine (100) is configured to perform, on a patient's (182) chest, compressions that alternate with releases. The CPR machine includes a compression mechanism (148), and a driver system (141) configured to drive the compression mechanism. A force sensing system (149) may sense a compression force, and the driving can be 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.
Abstract:
In embodiments, a CPR chest compression system includes a retention structure that can retain the patient's body, and a compression mechanism that can perform automatically CPR compressions and releases to the patient's chest. The compression mechanism can pause the performing of the CPR compressions for a short time, so that an attendant can check the patient. The CPR system also includes a user interface that can output a human-perceptible check patient prompt, to alert an attendant to check the patient during the pause. An advantage can be when the attendant checks in situations where the condition of the patient might have changed, and an adjustment is needed. Or in situations where the patient may have improved enough to where the compressions are no longer needed.
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 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:
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:
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:
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.