An automatic cardiopulmonary resuscitation device includes 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.

An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.

A lung gas exchange device includes a front housing, at least one strap configured to affix the front housing to an anterior neck of a user, a vibration device positioned within the front housing, a wear plate configured to transfer vibration from the vibration device to the anterior neck of the user, a power source configured to provide power to the vibration device, a power control mechanism configured to allow a user to turn on and off the vibration device; and a central processing unit board connected to the power control mechanism, the power source, and the vibration device.

A method of using an ankle exoskeleton device is provided herein. The method includes collecting one or more biomechanical data points from an individual. The method also includes developing individualized musculoskeletal simulations based on the one or more biomechanical data points. In addition, the method includes creating predictive simulations by modeling effects of an ankle exoskeleton device on the individualized musculoskeletal simulations. The method also includes utilizing established device-user relationships with real-time measurements to adjust device control. Lastly, the method includes optimizing design and control parameters of the exoskeleton device based on the predictive simulations and user responses.

A method of using an ankle exoskeleton device is provided herein. The method includes collecting one or more biomechanical data points from an individual. The method also includes developing individualized musculoskeletal simulations based on the one or more biomechanical data points. In addition, the method includes creating predictive simulations by modeling effects of an ankle exoskeleton device on the individualized musculoskeletal simulations. The method also includes utilizing established device-user relationships with real-time measurements to adjust device control. Lastly, the method includes optimizing design parameters of the exoskeleton device based on the predictive simulations and user responses.

A lung gas exchange device includes a front housing, at least one strap configured to affix the front housing to an anterior neck of a user, a vibration device positioned within the front housing, a wear plate configured to transfer vibration from the vibration device to the anterior neck of the user, a power source configured to provide power to the vibration device, a power control mechanism configured to allow a user to turn on and off the vibration device; and a central processing unit board connected to the power control mechanism, the power source, and the vibration device.

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 analyze patient physiological signal(s) that indicate heart viability. Positive measures of heart viability measures can qualify the patient for a customized treatment paradigm.

An exemplary example of a medical device can include a retention structure for at least partially encircling a patient's body, the retention structure including a central member and a support portion configured to be placed underneath a patient, a piston extending from the central member, a driver coupled to the piston configured to retract and extend the piston, a patient contact member attached to the piston, the patient contact member configured to adhere to the patient's body, and a controller. The controller can be configured to cause the driver during a session to perform at least two cycles of negative pressure ventilation, each of the at least two cycles of negative pressure ventilation including positioning the piston at a reference position, retracting the piston from the reference position to an expansion position to expand a chest of a patient to generate negative pressure ventilation, and returning the piston from the expansion position to the reference position.

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 can include a user interface that can output a human-perceptible check patient prompt, to alert an attendant to check the patient during the pause. The compression mechanism can during a CPR session retreat a distance away from the patient's chest whereby the patient's chest can expand without active decompression of the patient's chest beyond the chest's natural resting position.

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.