The invention relates to a respiratory assistance apparatus for delivering a respiratory gas, such as air, to a patient during cardiopulmonary resuscitation (CPR), having a source (1) of respiratory gas, means (4) for measuring the CO.sub.2 content, and signal-processing and control means (5). The signal-processing and control means (5) are configured to process the CO.sub.2 content measurement signals corresponding to measurements performed by the CO.sub.2 content measurement means (4) during a given period of time (dt), and to calculate at least one mean CO.sub.2 content value (Vmean) from the maximum CO.sub.2 content values (Vmax) obtained over the time window (Ft), and to transmit said at least one mean CO.sub.2 content value (Vmean) to the graphical user interface (7) which displays it.

A system and method for mechanical CPR can include a device for providing compressive force to various locations on a patient, and biological monitoring systems to measure the effectiveness of the various locations of compressive force in pumping blood through the patient. The system can also include providing decompressive force to increase the efficacy of blood flow.

Apparatus for automatic delivery of chest compressions and ventilation to a patient, the apparatus including: a chest compressing device configured to deliver compression phases during which pressure is applied to compress the chest and decompression phases during which approximately zero pressure is applied to the chest a ventilator configured to deliver positive, negative, or approximately zero pressure to the airway; control circuitry and processor, wherein the circuitry and processor are configured to cause the chest compressing device to repeatedly deliver a set containing a plurality of systolic flow cycles, each systolic flow cycle comprising a systolic decompression phase and a systolic compression phase, and at least one diastolic flow cycle interspersed between sets of systolic flow cycles, each diastolic flow cycle comprising a diastolic decompression phase and a diastolic compression phase, wherein the diastolic decompression phase is substantially longer than the systolic decompression phase.

An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

An automatic cardiopulmonary resuscitation device and a control method therefor are disclosed. The automatic cardiopulmonary resuscitation device comprises: a movable chest compressor for repeatedly pressing a patient's chest at a preset depth and cycle; a cardiac output measurement unit for measuring a cardiac output of the patient in accordance with the pressurization of the chest compressor; and a processor for changing pressing locations by performing control such that the chest compressor moves according to a preset method, wherein the processor controls the cardiac output measurement unit such that the cardiac output measurement unit measures the patient's cardiac output at each of the changed pressurized locations, selects a pressing location at which the patient's cardiac output becomes the maximum on the basis of the measured cardiac output, and performs control such that the chest compressor moves to the pressing location at which the patient's cardiac output becomes the maximum.

A system for providing, to a user, navigation directions to a point of interest. The system includes a device having an output unit configured to output the navigation directions to the point of interest. The device is configured to communicate, to an unmanned vehicle, a point of interest identification. The system also includes the unmanned vehicle having a camera configured to detect image data. The unmanned vehicle is configured to determine whether the point of interest identification is detected from the image data. The unmanned vehicle is also configured to determine a point of interest location when the point of interest identification is detected from the image data. The unmanned vehicle is also configured to determine point of interest navigation data based on the point of interest location. The unmanned vehicle is also configured to communicate, to the device, the point of interest navigation data.

Systems, devices and methods for providing active and/or passive compression therapy to a body part can include a compression device worn over a compression stocking. The compression device can have a pulley based drive train that is driven by a motor to tighten and loosen compression elements, such as compression straps, in a precise, rapid, and balanced manner. Sensors can be used in the compression device and/or compression stockings to provide feedback to modulate the compression treatment parameters.

A sensing device is provided for use in ventilation treatment, including a thermal mass flow sensor for measurement of gas flow inside of a gas flow conduit of the device and at least one pressure sensor for measurement of the pressure inside of the conduit. The sensing device may include at least one flow conditioner to condition of the flow of the gas inside of the conduit. The device may include an absolute pressure sensor for measurement of the pressure outside of the conduit (e.g., the ambient pressure). Systems and methods are provided that include a sensing device, or use thereof, in determining or presenting patient or treatment data or feedback, such as to a care provider. Systems and methods are provided that include determining patient airway gas flow and pressure waveforms, and that analyze morphological features of the waveforms to determine conditions of the patient or of treatment.

A medical system for assisting with an intubation procedure for a patient. The system comprising airflow sensors configured to obtain data indicative of airflow in the patient's airway and physiological sensors configured to obtain information regarding airflow in the patient's lungs. The system further including a monitoring device communicatively coupled to the airflow sensors and the physiological sensors. The patient monitoring device comprising at least one processor coupled to memory and configured to: provide a user interface on a display and assist the rescuer in determining proper placement of an endotracheal tube, receive the data indicative of the airflow in the patient's airway, receive the physiological information regarding the airflow in the patient's lungs, and determine whether the tube is properly placed based on the received physiological information, and present an output of the determination of whether the ET tube was properly placed.