A61H31/005

SYSTEMS AND METHODS OF USE FOR A WEARABLE ULTRASOUND BLOOD FLOW SENSOR

An example of a system for providing patient care guidance to a caregiver based on ultrasound detection of blood flow includes a defibrillator including an electrode assembly and an output device, a portable computing device communicatively coupled to the defibrillator and including an output device, a Doppler shift waveform evaluation engine disposed at the defibrillator and/or the portable computing device, and a wearable ultrasound blood flow sensor configured to couple to a patient and the defibrillator and/or the portable computing device and to generate data signals representing a Doppler shift waveform. The engine is configured to receive the data signals representing the waveform, generate caregiver instructions according to a cardiac arrest protocol, analyze the waveform based on the received data signals, identify heart-induced blood flow based on the waveform analysis, and generate and provide caregiver instructions according to a non-cardiac arrest protocol based on the identified heart-induced blood flow.

ACTIVE COMPRESSION-DECOMPRESSION DEVICE INTEGRATION
20230043824 · 2023-02-09 ·

A system is provided for resuscitative therapy to a patient by delivering active chest compression decompressions. The system may include an ACD device configured to be coupled to the patient's chest and constructed for a rescuer to press and pull on the ACD device to administer active compression decompression therapy. Additionally, the ACD device may include at least one sensor for sensing at least one active compression decompression parameter, processing circuitry configured to process the at least one active compression decompression parameter and provide an output based on the at least one parameter, a first communication circuit configured to transfer data related to the processed output of the at least one parameter, and a second communication circuit capable of being removably coupled to either the electrode assembly or the ACD device.

CHEST COMPRESSION MACHINE DRIVEN USING CHAIN DEVICE
20230043542 · 2023-02-09 · ·

A chest compressor for compressing a patient's chest to perform a cardio pulmonary resuscitation is provided. The chest compressor includes a housing, a driving module provided inside the housing, at least one chain device configured to be driven by the driving module, a guide member configured to guide a movement of the at least one chain device, and a pressing member provided in an end portion of the at least one chain device. The at least one chain device may be formed by connecting a plurality of chain members to each other in a longitudinal direction, and the pressing member may be configured to compress the patient's chest while moving up and down by the at least one chain device.

Defibrillator display including CPR depth information

An external defibrillator system includes one or more compression sensors; one or more physiological sensors; and at least one processor. The at least one processor is configured to: receive and process chest compression signals and physiological signals from the sensors, determine values for chest compression depth and/or chest compression rate based on the received chest compression signals, determine a trend of at least one physiological parameter over a period comprising multiple chest compressions based on the received physiological signals, adjust a target chest compression depth and/or target chest compression rate based on the determined trend of the at least one physiological parameter, compare the determined values for chest compression depth and/or chest compression rate to the adjusted target compression depth and/or the adjusted target compression rate, and provide feedback about the quality of chest compressions performed on the patient.

Continuous machine learning for extracting description of visual content

Aspects of the present disclosure relate to machine learning techniques for continuous implementation and training of a machine learning system for identifying the natural language meaning of visual content. A computer vision model or other suitable machine learning model can predict whether a given descriptor is associated with the visual content. A set of such models can be used to determine whether particular ones of a set of descriptors are associated with the visual content, with the determined descriptors representing a meaning of the visual content. This meaning can be refined based on a multi-armed bandit tracking and analyzing interactions between the visual content and users associated with certain personas related to the determined descriptors.

Resuscitation Enhancements
20180000368 · 2018-01-04 ·

A system including a sensor interface coupled to a processor. The sensor interface is configured to receive and process an analog electrocardiogram signal of a subject and provide a digitized electrocardiogram signal sampled over a first time period and a second time period that is subsequent to the first time period. The processor is configured to receive the digitized electrocardiogram signal, to analyze a frequency domain transform of the digitized electrocardiogram signal sampled over the first and second time periods and determine first and second metrics indicative of metabolic state of a myocardium of the subject during the first and second time periods, respectively, to compare the first and second metrics to determine whether the metabolic state of the myocardium of the subject is improving, and to indicate administration of an intervention to the subject in response to a determination that the metabolic state is not improving.

APPARATUS FOR MONITORING A CARDIAC RHYTHM DURING CPR

A defibrillator and method for using a defibrillator which adopts an ECG analysis algorithm that can detect a cardiac arrhythmia in the presence of noise artifact induced by cardio pulmonary resuscitation (CPR) compressions. The apparatus and method offers guidance throughout a cardiac rescue protocol involving both defibrillation shocks and CPR that improves the effectiveness of the rescue, resulting in more CPR “hands-on” time, better treatment of refibrillation, and reduced transition times between CPR and electrotherapy.

SYSTEMS AND METHODS FOR HEAD UP CARDIOPULMONARY RESUSCITATION

A method for performing cardiopulmonary resuscitation (CPR) includes elevating the heart of an individual to a first height relative to a lower body of the individual. The lower body may be in a substantially horizontal plane. The method may also include elevating the head of the individual to a second height relative to the lower body of the individual. The second height may be greater than the first height. The method may further include performing one or more of a type of CPR or a type of intrathoracic pressure regulation while elevating the heart and the head. The first height and the second height may be determined based on one or both of the type of CPR or the type of intrathoracic pressure regulation.

SYSTEMS AND METHODS FOR HEAD UP CARDIOPULMONARY RESUSCITATION

A method for performing cardiopulmonary resuscitation (CPR) includes elevating the heart of an individual to a first height relative to a lower body of the individual. The lower body may be in a substantially horizontal plane. The method may also include elevating the head of the individual to a second height relative to the lower body of the individual. The second height may be greater than the first height. The method may further include performing one or more of a type of CPR or a type of intrathoracic pressure regulation while elevating the heart and the head. The first height and the second height may be determined based on one or both of the type of CPR or the type of intrathoracic pressure regulation.

CPR CHEST COMPRESSION SYSTEM WITH TONOMETRIC INPUT AND FEEDBACK
20230233404 · 2023-07-27 ·

A CPR chest compression system which uses tonometric data as feedback for control of chest compression device.