An apparatus may be configured for providing feedback to caregivers during a code blue scenario when adhered to the chest of a subject undergoing resuscitation by sensing and transmitting information associated with the code blue scenario. Such information may include one or more of vital signs of the subject during resuscitation, information associated with chest movements of the subject during resuscitation, and audio information from an environment of the subject during resuscitation. One or more processors may generate real-time feedback for communication to the caregivers during the code blue scenario based on the sensed and transmitted information.

An example of a CPR data recording system includes a hand-held chest compression measurement device and an external computing device communicatively coupled to the hand-held chest compression measurement device. The hand-held chest compression measurement device includes a housing, a motion sensor, a communication device, a memory disposed within the housing, and a processor disposed within the housing. The processor is configured to process a signal output from the motion sensor, calculate chest compression data from the processed signal output, evaluate the chest compression data after a delay from a start of the chest compressions to identify chest compressions that satisfy a pre-determined quality criterion, record the chest compression data in the memory, and send the recorded chest compression data to the external computing device via the communication device. The external computing device is configured to enable a review of the chest compression data.

An assistance apparatus for carrying out a first emergency care procedure, such as chest compressions or pulmonary ventilation, is configured to cooperate with a second assistance apparatus for carrying out a second emergency care procedure. The assistance apparatus comprises a communication device designed to receive, from the second assistance apparatus, data relating to the second emergency care procedure. The data comprises at least one item of information, a parameter or an instruction. A signal-processing device is configured to process the at least one signal measured according to the received data relating to the second emergency care procedure. An assistance system, comprising a compression assistance apparatus and a ventilation assistance apparatus, and an assistance method associated with the assistance system are also disclosed.

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR) are described herein. The system includes a camera to capture one or more images at a scene where the person in need of medical assistance is being treated and one or more processors. The processors receive and process the images, by using a rescuer profile, to provide a real-time feedback to the rescuer to improve the CPR treatment.

A method of operating an exoskeleton device includes: receiving sensor information; connecting a clutch system to a pulley system in; determining whether to engage a drive train gear to the clutch system based on the sensor information; engaging the drive train gear through the clutch system when determined to engage the drive train gear; and powering a first motor to drive the drive train gear for controlling a joint or segment of exoskeleton device.

A resuscitation system for use in the resuscitation of a subject includes a computing device configured to input subject information and use the subject information to create a subject resuscitation strategy, a sensor configured to detect subject biosignals and use the subject biosignals to monitor for a subject cardiac arrest event, and a defibrillator configured to determine and deliver a subject resuscitation treatment. On determination of a subject cardiac arrest event, the sensor outputs sensor subject biosignals to the computing device. The computing device uses the sensor subject biosignals to adapt the subject resuscitation strategy and output the subject resuscitation strategy to the defibrillator. The defibrillator measures subject biodata and uses the subject biodata and the subject resuscitation strategy to determine and deliver a subject resuscitation treatment. During subject resuscitation treatment, the defibrillator repeatedly uses measured subject biodata and the subject resuscitation strategy to adapt the subject resuscitation treatment.

A lower-leg exoskeleton that includes an inflatable actuator configured to be worn over a front portion of a leg of a user and configured to be disposed directly adjacent to and surrounding a joint of the leg of the user. The inflatable actuator is configured, when worn by the user, to receive and transmit an actuator load generated by the inflatable actuator around the joint of the user to a load contact point. Inflation of the inflatable actuator generates a moment about the joint of the user to cause flexion of the leg of the user.

Described herein are wearable sensory stimulation and monitoring devices that can be worn around the back of the neck along and in contact with the spine. Apparatuses described herein stimulate one or more senses including auditory, tactile or olfactory. Apparatuses are also described that allow for sensing and monitoring of physiologic parameters such as heart rate, blood pressure and movement. The device also has features that allow for easy attachment or integration to articles worn on the head such as augmented reality and virtual reality accessories to provide visual stimulation and entertainment.

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.

Embodiments of the present invention include a system having at least one sensor configured to monitor a muscle oxygen saturation (SmO2) level of a patient who is undergoing cardiac arrest and to generate a signal representing SmO2 level; a user interface device; a processor communicably coupled to the user interface device, the processor configured to cause the user interface device to present an array of two or more possible nodes of a clinical decision support tree, wherein at least one of the nodes indicates cardiopulmonary resuscitation (CPR) treatment of the patient with no ventilation, and wherein at least another of the nodes indicates CPR treatment of the patient with active ventilation; determine which of the two or more possible nodes should be emphasized based on the SmO2 level; and update the array of the two or more possible nodes based on the determination.