Medical radar devices, including ultra-wideband (UWB) devices, for use in assisting and/or guiding cardiopulmonary resuscitation (CPR) by indicating one or more of: compression depth, compression frequency, and a return to spontaneous circulation. The devices and methods described herein may use reflected energy applied to a patient's chest to determine cardiac motion and/or chest compression and provide feedback to the person applying the CPR. In some variations the device is incorporated as a part of another resuscitation device, such as a defibrillator or automatic compression device.

The present disclosure describes systems, apparatus, and methods for collecting biometric data from a patient. In some cases, this biometric data can be collected during the course of an emergency encounter using a medical device. The medical device can also perform other functions, such as monitor patient vital signs, receive and record notes and textual information, communicate with other devices, and/or deliver a therapeutic treatment. The medical device can also be configured to record and/or maintain a patient record, and to embed the patient biometric data into the patient record for use in later confirming and/or determining an identity of the patient. Some embodiments can also collect biometric data relating to one or more caregivers of the patient, and to embed the caregiver biometric data into the patient record. This caregiver biometric data can be used to confirm and/or identify one or more caregivers in a patient record.

Methods and systems for analyzing care data are described. The method includes building a virtual model of a physical medical device. Training is provided to a patient associated with the physical medical device to properly use the physical medical device by manipulating the virtual model. First care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor is received by a cloud service. The cloud service analyzes the first care data to obtain a first care data score and analyzes the second care data to obtain a second care data score. The cloud service scores, using a machine learning algorithm, the first care data score and the second care data score to obtain a combined care score. The cloud service determines whether the combined care score is greater than a threshold. The cloud service triggers an emergency procedure when it is determined that the combined care score is greater than the threshold.

An example system for monitoring and delivering therapy to a patient includes a monitor module with patient monitoring capability, and a manifold that is operable to provide an electrical connection between the monitor module and cables connecting to sensors for collecting physiologic monitoring data of a patient, and to provide a gas connection between the monitor module and tubing for delivering treatment to or collecting additional physiologic monitoring data from the patient. The manifold includes a connector for mechanically connecting the manifold to the monitor module, and the connector also for mechanically disconnecting the manifold from the monitor module while maintaining the cables and the tubing coupled to the patient. In some examples, the system can also include a cot including a second set of monitoring electronics with patient monitoring capability, the cot including a port for coupling with the connector of the manifold.

A condition information generation device includes: an acquisition unit configured to acquire physiological information of a subject; and a generator configured to generate condition information of the subject based on the physiological information. The generator is configured to generate the condition information based on the physiological information acquired at a target time that is set arbitrarily, the target time being a time that is earlier than a time when the condition information generation device generates the condition information.

A method of assisting a caregiver in delivering patient therapy includes providing prompts at a user interface, wherein the therapy includes steps in a protocol, at least one of which is an instruction for the caregiver to call the ERC by actuating the input device, initiating a call to an emergency response center (ERC) in response to actuation of an input device of a medical device, detecting, by one or more sensors, whether one or more steps of the protocol have been completed in response to the prompts, wherein at least one of the sensors is a sensor other than a therapy electrode, selecting one or more prompts based at least in part on whether the one or more steps in the series has been performed, and controlling the user interface to provide the selected one or more prompts as visible and/or audible prompts.

An apparatus for analyzing a patient's cardiac activity to detect cardiac events includes a plurality of ECG electrodes configured to be attached to the patient. The plurality of ECG electrodes are configured to generate two or more ECG leads. The apparatus also includes a processor in communication with the plurality of ECG electrodes. The processor is configured to generate a control vectorcardiogram loop trajectory, receive an ECG signal, generate, based on the ECG signal, a plurality of ECG vectors, and generate, from the plurality of ECG vectors, a test vectorcardiogram loop trajectory. The processor is also configured to determine at least one T wave measure by comparing the test vectorcardiogram loop trajectory to the control vectorcardiogram loop trajectory, identify, based at least partially on the at least one T wave measure, a trajectory bifurcation, and determine, based on the trajectory bifurcation, an indicator of a cardiac event.

A device for supporting determination of return of spontaneous circulation, ROSC, during an associated cardiopulmonary resuscitation, CPR, procedure which is being performed on an associated patient. A sensor is used to sense a physiological signal of the patient. Frequency analysis of the signal is carried out to extract dominant fundamental frequency components in the signal. From this analysis it is possible to determine that there has been a potential ROSC.

A real-time automated method to diagnose and/or detect stroke and engage the patient, care-takers, emergency medical system and stroke neurologists in the management of this condition includes the steps of continuously measuring natural limb activity, conveying the measurements to a cloud based real-time data processing system, identifying patient specific alert conditions, and determining solutions for acting upon needs of the patient. The system by which the method is implemented includes at least one body worn sensor continuously measuring natural limb activity and a patient worn data transmission device conveying the measurements to a cloud based real-time data processing system that identifies patient specific alert conditions and determines solutions for acting upon needs of the patient.

A variety of systems, methods, architectures and devices are described that facilitate quicker responses to potential cardiac arrest incidents in a variety of different circumstances.